agrotechniques
Contents of 36(4) - acharya ng ranga agricultural university
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J.Res. ANGRAU 36(4)1-4, 2008<br />
STUDIES ON GROWTH PERFORMANCE OF JATROPHA ( Jatropha<br />
curcas L.) UNDER PRUNING AND SOURCES OF NUTRIENTS<br />
K. MURALI KRISHNA, G.NEERAJA PRABHAKAR, M.V.R. SUBRAHMANYAM<br />
and A. SIVA SANKAR<br />
Department of Forestry, College of Agriculture, ANGRAU<br />
Rajendranagar, Hyderabad- 500 030<br />
ABSTRACT<br />
A field experiment was initiated during the year 2004 on Alfisols at students’ farm, College of Agriculture,<br />
Rajendranagar, Hyderabad to study influence of different sources of nutrients applied to pruned and unpruned<br />
Jatropha on its growth for three years from 2005 to 2007.The results showed that the plant height and stem<br />
girth of unpruned Jatropha increased significantly in the years by the application of 5 kg FYM per plant<br />
compared to control. The plant height of pruned Jatropha was not influenced by this organic source of<br />
nutrients, while stem girth improved significantly only in the third year. The application of 46:50:25 kg ha -1 NPK<br />
significantly increased the plant height and number of branches per plant of the pruned Jatropha compared to<br />
the organic source of nutrient supply in the third year. The response of unpruned crop to fertilizer application<br />
was of a higher magnitude. The integrated supply of nutrients by the application of 46:50:25 kg ha -1 NPK and<br />
5 kg FYM per plant to the unpruned crop was the best. It maximized the plant height, number of branches per<br />
plant and the stem girth in the three years consistently.<br />
Jatropha (Greek: Jatros – doctor, trophe: nutrition), referring to its medicinal use<br />
belongs to the family Euphorbiaceae. It is well adapted for cultivation with in the vast areas<br />
of marginal and degraded lands in semiarid and arid tropics. Jatropha helps in increasing<br />
rural economy and self sustainability for agro industries (Openshawm,2000). Presently<br />
production of jatropha is constrained by non availability of quality planting material and <strong>agrotechniques</strong>.<br />
Hence, the present investigation was initiated to suggest appropriate <strong>agrotechniques</strong><br />
for improvement of growth and productivity in dry lands.<br />
MATERIALS AND METHODS<br />
The field investigation was initiated during the year 2004 on Alfisols at students’farm,<br />
College of Agriculture, Rajendranagar, Hyderabad. The pits dug in the month of April 2004,<br />
were filled with 2 parts of soil, 1 part of FYM and 100 g of DAP. Two month old Jatropha<br />
seedlings raised in polybags were planted at 3 x 3 m spacing in the pits of 30 x 30 x 45 cm<br />
in June 2004. There were 7 treatments in 3 replications. The layout was a randomized block<br />
design. The treatments involved combination of 2 methods of managing the seedlings –<br />
pruned and unpruned and 3 techniques of nutrient management i.e. FYM @ 5 kg / plant,<br />
NPK @ 46:50:25 kg ha -1 and one control without pruning and no external input of nutrients.<br />
e-mail : kmurali73@yahoo.com<br />
1
KRISHNA et.al.<br />
The pruning treatment was done 30 cm above the ground level after one year of planting. The<br />
requisite quantity of FYM and FYM + NPK as per the treatments were applied both to pruned<br />
and unpruned plants every year from 2005 to 2007.The growth characters were recorded one<br />
year after plantation from 2005 onwards. It was observed that fruit setting was not initiated<br />
during the third year after plantation.<br />
RESULTS AND DISCUSSION<br />
The results showed that the application of 5 kg FYM per plant to the unpruned<br />
Jatropha significantly increased the plant height compared to control consistently in the<br />
three years. The number of branches per plant and stem girth improved significantly only in<br />
the third year. The role of organic manures in improving the aggregation of soil particles with<br />
more pore space and better aeration as well as higher uptake of nutrients by the crop was<br />
emphasized by Hegde (1998). The inorganic fertilizer application<br />
@ 46:50:25 kg ha -1 NPK significantly increased the plant height of unpruned Jatropha compared<br />
to the organic manuring through FYM @ 5 kg per plant only in the third year. But, the<br />
unpruned crop responded to grow significantly tall due to inorganic fertilizer application in 2<br />
out of 3 years compared to the organic manuring. The number of branches per plant and<br />
stem girth also increased significantly due to the inorganic source of nutrients consistently<br />
in three years. The integrated nutrient supply through the application of 46:50:25 kg ha -1 NPK<br />
and 5 kg FYM per plant to the pruned Jatropha did not increase the plant height significantly<br />
compared to the effect of inorganic fertilizer application in any of the three years. However,<br />
the number of branches per plant increased significantly in three and stem girth in two years<br />
due to the conjunctive use of nutrients. The unpruned Jatropha was highly responsive to the<br />
nutrient management treatments. The crop attained maximum plant height, produced more<br />
number of branches per plant and attained larger girth by the integrated nutrient management<br />
treatments, which were significantly superior to the fertilized crop. The conjunctive use of<br />
organic and inorganic sources of nitrogen might have increased physical condition of the soil<br />
with subsequent increase in the availability of nutrients due to improved microbial activity<br />
leading to better plant growth. (Dhoble, 1998, Sugarve et al., 1998 and Jayabal et al., 2000).<br />
The results indicated that the growth of Jatropha can be best improved without<br />
pruning and nutrient management by the application of 46:50:25 kg ha -1 NPK along with 5 kg<br />
FYM per plant during the initial three years of its plantation.<br />
2
STUDIES ON GROWTH PERFORMANCE OF JATROPHA<br />
Table 2. Effect of integrated nutrient management on chemical properties of soil in sorghum- wheat<br />
cropping sequence<br />
Treat.<br />
No.<br />
Treatment Initial value<br />
(1999-2000)<br />
Kharif Rabi pH EC<br />
Organic<br />
dS m -1 carbon<br />
(%)<br />
After harvest of sorghum After harvest of wheat<br />
pH EC Organic<br />
dS m -1 carbon<br />
(%)<br />
pH EC Organic<br />
dS m -1 carbon<br />
(%)<br />
T1 Control control 8.2 0.26 0.37 8.2 0.26 0.40 8.2 0.25 0.39<br />
T2 50% RDF* 100%RDF* 8.1 0.25 0.45 8.1 0.30 0.46 8.2 0.26 0.46<br />
T3 75% RDF 75%RDF 8.2 0.25 0.50 8.0 0.28 0.52 8.3 0.24 0.53<br />
T4 100%RDF 100%RDF 8.2 0.26 0.53 8.1 0.30 0.56 8.2 0.25 0.55<br />
T5 50% RDF<br />
+50% N<br />
(FYM)*<br />
100%RDF 8.1 0.25 0.73 8.0 0.32 0.74 8.1 0.26 0.73<br />
T6 75%RDF<br />
+25% N (FYM)<br />
75%RDF 8.1 0.23 0.71 8.1 0.30 0.70 8.1 0.28 0.74<br />
T7 50% RDF<br />
+50% N (WS)*<br />
100%RDF 8.2 0.25 0.71 8.0 0.34 0.70 8.2 0.30 0.69<br />
T8 75%RDF<br />
+25% N (WS)<br />
75%RDF 8.1 0.25 0.68 8.1 0.32 0.68 8.1 0.24 0.68<br />
T9 50% RDF<br />
+50% N<br />
(GLM)*<br />
100%RDF 8.2 0.24 0.69 8.1 0.32 0.68 8.1 0.24 0.70<br />
T10 75%RDF<br />
+25% N<br />
(GLM)<br />
75%RDF 8.1 0.23 0.65 8.1 0.30 0.64 8.2 0.26 0.67<br />
SE ± 0.07 0.02 0.01 0.06 0.02 0.03 0.11 0.11 0.01<br />
CD at 5% NS NS 0.02 NS 0.04 0.05 NS 0.022 0.03<br />
* RDF - Recommended dose of fertilisers WS - Wheat straw<br />
GLM - Glyricidia leaf manure FYM - Farm Yard Manure<br />
3
KRISHNA et.al<br />
REFERENCES<br />
Dhoble, M.V. 1998. Response of sunflower hybrids to nitrogen and phosphorus in rainfed<br />
conditions. Indian Journal of Agro foresty 43 (1): 138-141<br />
Hegde, D.M. 1998. Integrated nutrient management for production and sustainability of oil<br />
seeds, a review. Journal of Oil Seeds Research 15 (1): 1-17<br />
Jayabal, A., Palaniappan, Y. P. and Chellaiah, S. 2000. Effect of integrated nutrient<br />
management techniques on yield attributes and yield of sunflower. Indian Journal of<br />
Agronomy 45 (2): 348-388<br />
Openshawm, K. 2000. A review of Jatropha curcas, an oil plant of unfulfilled promise. Biomass<br />
and Bio-energy. 19 (1): 1-15<br />
Sugarve, G. T., Quadri, S. J. and Dhoble, M.V. 1998 Response of sunflower to the<br />
graded levels of fertilizers and fly ash. Journal of Maharashtra Agricultural<br />
Universities 22 (3): 318-319<br />
4
J.Res. ANGRAU 36(4)5-13, 2008<br />
RED STRIPE DISEASE IN RICE (Oryza sativa L.) -AN OVERVIEW<br />
S. Krishnam Raju, K. Vijay Krishna Kumar, M. R. B. Raju and Hari Sudini<br />
Plant Pathology Section, A. P. Rice Research Institute and<br />
Regional Agricultural Research Station, Maruteru - 534 122<br />
INTRODUCTION<br />
ABSTRACT<br />
Red stripe in rice is becoming a serious problem in rice cultivation in most parts of India. In Andhra<br />
Pradesh, this disease was first observed in East and West Godavari districts causing significant economic<br />
losses. In other parts of the world, various fungi and bacteria were constantly isolated from diseased leaves<br />
showing red stripe symptoms. However, various aspects of disease, viz., etiology, symptomatology,<br />
epidemiological studies, resulting losses and disease management strategies are yet to be established.<br />
Several reports suggested foliar application of benzimidazoles and copper compounds for the management of<br />
this new emerging problem.<br />
Rice is the most important staple food grain for more than two billion people living in Asia.<br />
Diseases are among the most important limiting factors that affect rice production, causing<br />
annual yield loss conservatively estimated at 5% (Mew et al. 2004). Biological agents like<br />
fungi, bacteria, viruses, or nematodes account for more than 70 diseases on rice (Ou 1984),<br />
among which rice blast (Magnaporthe grisea) and sheath blight (Rhizoctonia solani) are the<br />
most serious fungal constraints for high productivity. Among different diseases of rice (Oryza<br />
sativa L.), red stripe is an emerging one that has been observed in the recent years in<br />
intensive rice production areas of the world especially in tropical countries such as Vietnam,<br />
Thailand and the Philippines. The disease was first reported in Indonesia in 1988 (Mogi et<br />
al., 1988). Since then it has been reported in Vietnam (Du et al., 1991), Phillippines (Barroga<br />
and Mew, 1994), Malaysia (Yazid et al., 1996), Thailand (Dhitikiattipong et al., 1999) and in<br />
Cambodia (Du et al., 2001). The disease is also described as bacterial red stripe, bacterial<br />
leaf stripe, yellow leaf syndrome and rice leaf yellowing (Mogi et al., 1988).<br />
In India, the disease was first observed during the year 2000 in a sporadic manner<br />
on the rice varieties viz. PLA-1100 and MTU-1001 in East and West Godavari districts of<br />
Andhra Pradesh (Rajamannar et al., 2007). Subsequently, it appeared during the years 2001<br />
and 2002 at moderate levels in these districts. Red stripe is one such disease wherein the<br />
etiology is not yet confirmed and still control measures are to be developed to manage the<br />
disease from causing alarming losses (Du et al., 1991and Noda and Chau, 1999).<br />
e-mail : rajupathol@yahoo.co.in<br />
5
RAJU et.al<br />
This paper comprehensively reviews update information on the history, occurrence<br />
distribution, symptomatology, etiology, histopathology, epidemiology and transmission, present<br />
lines of research and the status of etiological confirmation, management studies in lab,<br />
green house and at field level.<br />
Occurrence and Distribution<br />
The red stripe disease manifested in the Makong Delta region of Vietnam during<br />
1988 and spread rapidly in the summer and autumn of 1990 causing up to 50% yield losses<br />
owing to premature senescence and high ratio of unfilled grains (Du et al., 1991). The disease<br />
popularly known as brown stripe caused by Acidovorax avenae sub sp. avenae is geographically<br />
distributed in Egypt, Ethiopia, Ivory Coast, Kenya, Madagascar, Mauritius, Malawi,<br />
Mozambique, Niger, Nigeria, Reunion, Sierra Leone, South Africa, Sudan, Tanzania, Uganda,<br />
Zaire, Zimbabwe, Bangladesh, Burma, Bhutan, Cambodia, China, India, Indonesia, Iran,<br />
Iraq, Japan, Korea, Thailand, Vietnam, Australia, Fiji, Guam, Papua New Guinea, Tahiti,<br />
Italy, Portugal, Turkey, Mexico, USA, Barbados, Costa Rica, Cuba, Dominican Republic, E1<br />
Salvador, Guadeloupe, Guatemala, Honduras, Jamaica, Martinique, Nicaragua, Panama,<br />
Puerto Rico, St. Kitts, Trinidad, Argentina, Brazil, Colombia, Guyana, Paraguay, Peru,<br />
Surinam, Uruguay and Venezuela (Saddler,1998). It was found to be one of the major<br />
production constraints along with sheath blight, blast and other insect pests in the same<br />
region of Vietnam (Noda and Chau, 1999). The disease occurred during spring, summer and<br />
winter seasons in Tan Phu Thanh village of Mekong Delta in Vietnam (Dinh et al., 2000). In<br />
Phillippines, the disease was found occasionally in Mindanao but occurred erratically (Mew,<br />
2001). In Tokyo, Japan also the disease was reported by Wakimoto et al., (1998). They<br />
studied the pathogenicity and summarised that the causal agent is not bacterium but a kind<br />
of fungus.<br />
In India, surveys were carried out in the potential rice growing areas along the transect<br />
of East and West Godavari districts of Andhra Pradesh during the years 2001 to 2005. The<br />
data on red stripe incidence of rice grown in 4.5 lakh ha in kharif and 4.2 lakh ha in rabi in<br />
these districts is presented in table 1. Among the nine rice cultivars, MTU-1001 and PLA-<br />
1100 were susceptible to red stripe disease (Rajamannar et al., 2007). The symptoms of the<br />
disease were observed through out the infected field. The infected panicles were abnormal<br />
and had more unfilled grains at the time of harvest.<br />
6
RED STRIPE DISEASE IN RICE<br />
Table 1. Reaction of different rice cultivars to Red stripe disease in East and West<br />
Godavari districts of Andhra Pradesh, India<br />
Cultivar<br />
Area covered(%)<br />
Kharif<br />
Rabi<br />
Duration<br />
(Days)<br />
Mean Disease Incidence (%)<br />
2001 2002 2003 2004 2005<br />
MTU -1001 8 16 125 59.2 58.1 17.5 12.2 21.7<br />
PLA -1100 5 0 160 56.5 57.8 13.5 11.4 28.3<br />
MTU-3626 2 26 125 39.3 40.1 5.4 1.8 0.0<br />
IR-64 0 1 120 36.2 37.2 2.6 1.5 0.0<br />
MTU-1071 1 0 155 35.9 36.4 5.8 2.1 0.0<br />
MTU-1061 8 0 150 30.4 31.3 2.4 1.9 0.0<br />
BPT-5204 17 0 150 30.2 28.3 1.0 1.6 0.0<br />
MTU-1010 2 57 120 25.3 26.7 0.0 1.4 0.0<br />
MTU-7029 57 0 150 22.0 26.3 1.1 0.0 0.0<br />
The disease was moderate to severe during 2001 and 2002. The mean incidence<br />
ranged from 22.0 to 59.2%, and from 26.3 to 58.1% during the corresponding years. It was<br />
very low during the subsequent years. The disease ranged from nil to 17.5% in 2003 and<br />
from nil to 12.2% in 2004. It was noticed only on PLA-1100 and MTU-1001 varieties during<br />
2005.<br />
Symptomatology<br />
The symptoms of red stripe disease at different stages of growth and plant parts has<br />
been variedly described by different authors. Bien et al., (1992) reported that the red stripe<br />
disease occurs as primary lesions on any leaf at different positions of the plant under high<br />
humidity and that it can easily infect rice seedlings. Saddler (1998) also reported that the<br />
symptoms of the disease were more severe on seedlings and immature plants and sometimes<br />
they lead to seed discolouration. The leaf streaks and stripes extend into the sheaths and<br />
occasionally a red stalk rot develop. Mew et al., (2001) presented an elaborate description of<br />
the symptoms. The red stripe lesions are peculiar, sometimes they resemble foliar diseases<br />
caused by fungal pathogens. Initial lesions are pin point sized spots often light yellowish<br />
green to light orange at the base of the leaf blades, ultimately blighting is common on the<br />
7
RAJU et.al<br />
leaves. The lesions also extend on the sheath. The symptoms occur from flowering to ripening<br />
stage of the crop. Elazegui et al., (2004) also confirmed that the typical symptoms of this<br />
disease are usually manifested from flowering to ripening stage of rice. They described the<br />
characteristic symptoms as yellow orange spots which gradually turn to streaks advancing<br />
towards the leaf tips. They distinguished that the symptoms are more common on the leaves,<br />
while, the lesions also extend on to leaf sheaths and culms.<br />
Etiology<br />
Toxin production and red stripe<br />
Mew et al., (2001) reported that the production of the toxin by the causal organism<br />
may be the reason for the development of red stripe developing from the base of the lesion.<br />
This stripe is always seen advancing towards the tip of the leaves. Hence, it may probably<br />
be water soluble and mobile within the xylem and may also has a low molecular weight. The<br />
histopathological studies showed that the causal bacterium, Microbacterium sp remain<br />
attached to the vessel walls. It did not affect the plant unlike the other rice wilt pathogen<br />
Xanthomonas oryzae pv. oryzae (Kaku, 2004). One possible reason propounded for this<br />
efficient pathogenesis is that it enters the vascular tissues of rice leaves and produce the<br />
toxin. Evidence for the toxin is expressed in the typical lesion of red stripe accompanied by<br />
a lone halo running length-wise from the spot upward<br />
Fungi<br />
Elaborative studies on the etiology aspects of the red stripe disease were taken up<br />
all over the world. Du et al., (1991) isolated the causal organism and later identified it as<br />
Curvularia lunata (Cochliobolus lunatus) and confirmed its pathogenicity. Rice plants sprayed<br />
with fungicides like carbendazim, benomyl, copper oxychloride + benomyl and triphenyl<br />
tinacetate had fewer red stripe lesions than the untreated check. Several fungal species<br />
isolated from leaf tissues with stripe lesions on nutrient media included Curvularia lunata,<br />
Nigrospora oryzae, Cercospora spp, Alternaria spp, Helminthosporium spp, Colletotrichum<br />
spp and Fusarium sp. However, pathogenicity could not be proved with any of these fungal<br />
isolates (Du et al., 1991; Vinh, 1997; Wakimoto et al., 1998, Vinh et al., 1999 and Saad,<br />
2001). The results of studies conducted to determine whether the red stripe of rice is caused<br />
by a biotic agent, its possible causal agent and its association in toxin production and the<br />
transmission of the disease to healthy plants were reviewed by Mew et al., (2001). Various<br />
experimental results suggest that red stripe is caused by an infectious or biotic agent and<br />
can be transmitted from diseased to healthy plants (Suparyono, 1999 and Vinh et al., 1999).<br />
8
RED STRIPE DISEASE IN RICE<br />
Attempts made to isolate that causal agent of red stripe pathogen from diseased<br />
tissues has so far been unsuccessful. It is important that Koch’s postulates must be satisfied<br />
before a biotic agent can be regarded as a pathogen of red stripe. Elazegui and Castilla<br />
(2004) included several natural and synthetic media to isolate the causal agent. They isolated<br />
a fungus consistently from leaves with red stripe symptoms using a blotter method and<br />
subsequently Koch’s postulates were proved.<br />
Bacteria<br />
Severeal others detected Acidovorax avenae subsp. avenae as the causal agent.<br />
Shakya et al., (1985) reported that the bacterium can be easily isolated and characterized<br />
from rice leaves. On the basis of biochemical tests and fatty acid profile, Tuat (1999) also<br />
isolated bacterium formerly Pseudomonas avenae from rice seedlings with typical red stripe<br />
symptoms. Saddler (1998) reported that this bacterium is a host on Agropyron intermedium,<br />
Agropyron. trichophorum, Avena sativa, Bromus catharticus, Bromus marginatus, Camellia<br />
sinensis, Caryota mitis, Digitaria sanguinalis, Echinochloa crusgalli, Eleusine coracana,<br />
Euchlaena mexicana, Oryza sativa, Panicum hirsutum, Panicum miliaceum, Paspalum<br />
mutans, Paspalum paniculatum, Paspalum urvillei, Pennisetum americanum, Saccharum<br />
officinarum, Setaria italica, Setaria lutescens, Setaria viridis, Sorghum bicolor and Zea mays.<br />
This bacterium also causes bacterial brown stripe disease in rice.<br />
Song et al., (2004) reported that this is a seed borne bacterium. But there is no<br />
reliable seed assay to confirm this. In addition to red stripe disease in rice, it is also the<br />
causal agent for bacterial stalk rot of corn, bacterial leaf blight of oats and red stripe of<br />
sugarcane and millets. It is also reported that bio-PCR is a sensitive and reliable tool to<br />
detect Acidovorax avenae subsp. avenae in rice seeds. They observed that the population<br />
of target bacterium reached detectable levels in seed samples with even 1-2 target cells.<br />
Tuat (1999) isolated a bacterium from rice seedlings with typical red stripe symptoms<br />
and the bacterium was identified as Acidovorax avenae sub sp. avenae (formerly<br />
Pseudomonas avenae) based on biochemical tests and fatty acid analysis. Webster and<br />
Gunnell (1992) explained the typical symptoms of bacterial brown stripe which are brown,<br />
water soaked stripes on the leaf blades and leaf sheaths and it differs from the spot of a red<br />
stripe lesion on the leaf blades which are not water soaked. Moreover, red stripe lesions are<br />
rarely observed on the sheath.<br />
Viruses, Viroids and Mollicutes<br />
Thin sections of red stripe lesion tissues examined under the transmission electron<br />
microscopy were devoid of any virus-like particles (Vinh et al., 1999). Stunting or any<br />
9
RAJU et.al<br />
abnormality in plant growth was also not observed in the infected plants and there was no<br />
evidence of transmission of the causal agent (Mew et al., 2001). Experiments by Vinh et al.,<br />
(1999) involved allowing of brown plant hopper, Nilaparvata lugens to feed on plants with red<br />
stripe lesions and placed hoppers in cages with healthy plants. The severity of red stripe did<br />
not significantly differ between cages with and without the brown plant hopper.<br />
Histopathology<br />
Kaku et al., (2000) histologically confirmed that the red stripe disease is caused by<br />
the bacterium., Microbacterium sp and the bacterial masses were observed in the lumen of<br />
xylem vessels in the infected area, especially in those of connecting strands. Analysis of<br />
the 16S rDNA gave the best matches to the 16S rDNA sequence of Microbacterium. Later,<br />
Kaku (2004) investigated the mode of infection in artificially inoculated and naturally infected<br />
red stripe samples. The bacterial cells enter through stomata and multiplied in the intercellular<br />
spaces of substomatal parenchymatous tissues during the stage of pin-point-sized spots<br />
which were induced at 3 days after inoculation. With the early appearance of small yellow<br />
spots at 4 to 5 days after inoculation, the bacterium was detected in some xylem vessels as<br />
well as in parenchymatous tissues and it had apparently translocated directly from<br />
parenchymatous tissues to transverse vascular systems through spiral vessel walls. However,<br />
at development of typical stripe symptoms with orange lesions and halos at 8 days after<br />
inoculation, the bacterial masses were present in transverse and longitudinal vascular bundles<br />
in areas with orange lesions. Chloroplasts were seen disorganized in the halo areas.<br />
Epidemiology<br />
Experiments conducted by Du et al., (2001) at Cuu Long Delta Rice Research Institute<br />
indicated that the disease occurred even without N, P, K fertilization. Application of potassium<br />
at the rate of 30 kg ha -1 reduced the severity of red stripe. Whereas, phosphorus application<br />
enhanced the disease. Phung and Man (1999) reported that the incidence of disease was<br />
more severe due to application of excess nitrogen,<br />
Transmission<br />
The mode of transmission of the organism of red stripe disease is not yet perfectly<br />
known. Saddler (1998) reported that the disease caused by Acidovorax avenae sub sp.<br />
avenae is transmitted through seed. Further, Shakya et al., (1985) reported that this bacterium<br />
is located between the glumes and pericarp or deeper in the seed and there is evidence that<br />
mature rice plants which survive infection in the seedling stage harbour the bacterium without<br />
symptoms.<br />
10
RED STRIPE DISEASE IN RICE<br />
Mew et al., (2001) reported that plants placed 10-15 cm away from those with red<br />
stripe lesions had significantly more diseased tillers than those placed 20-25 cm away.<br />
Therefore it is possible that tissue contact facilitate the transmission of the causal agent.<br />
The unpublished data of Tisalona and Mew showed that this organism is neither soil or seed<br />
borne.<br />
Disease Management<br />
Management of red stripe disease in the field is difficult. Its etiology is not confirmed.<br />
Yet there is a clue of fungal etiology based on the signs of recovery when the infected crop<br />
was sprayed with fungicides like carbendazim, benomyl, copper+ benomyl and triphenyl tin<br />
acetate (Du et al., 2001). Mew et al., (2001) in his review on red stripe reported the findings<br />
of IRRI on the disease management. The results indicated that spraying with benomyl<br />
significantly lowered the red stripe incidence.<br />
Green house experiments conducted by Elazegui and Castilla (2004) at the<br />
International Rice Research Institute, Philippines also showed that plants sprayed with<br />
benzimidazole fungicides had lower disease severity than those sprayed with other groups<br />
of fungicides and bactericides.<br />
Phung and Man (1999) reported that lime amendment with nitrogen reduced the<br />
infection.. Tuat (1999) indicated the efficacy of Viben C 50WP (25% benzimidazole +25%<br />
copper oxychloride) on red stripe management.<br />
REFERENCES<br />
Barroga, J.F. and Mew, T. W. 1994. “Red Stripe”: a new disease of rice in the Philippines.<br />
Paper presented at the 25 th Anniversary and Annual Scientific Convention of the Pest<br />
Management Council of the Philippines, 3-6 May 1994, Cagayan de Oro City,<br />
Philippines.<br />
Bien, P.V., Sang P.M., Minh, P.N., Chen, H.Q. and Vinh, M.T. 1992. Yellow leaf syndrome<br />
in South Veitnam and some methods of controlling it. Annual Scientific Report, Vietnam:<br />
Institute of Agricultural Sciences (unpub).<br />
Dhitikiattipong, R., Nilpanit, N., Surin, A., Arunyanart, P. and Chettanachit, D. 1999. Study<br />
on rice red stripe in Thailand. Paper presented at the Planning Workshop on Red<br />
Stripe, 15-18 March 1999. Ho Chi Minh City, Vietnam.<br />
Dinh, H. D., Cuong, N. D., Tai, N. D., Du, P. V., Hiraoka, H. and Kobayashi, H. 2000. The<br />
first year of survey in Tan Phu Thanh Village on rice pest constraints in an intensive<br />
cropping systems of Mekong Delta (data unpublished)<br />
11
RAJU et.al<br />
Du, P. V., Dinh, H. D., Lan, N. T. P., Sau, T. T. and Ba, D. X 1991. Field evaluation to control<br />
“red stripe”, a new rice disease in Vietnam. International Rice Research Newsletter<br />
16(5): 21-22<br />
Du, P. V., Lan, N. T. P., Dinh, H. D. and Van, D. P. 1991. Red Stripe, a newly reported<br />
disease of rice in Vietnam. International Rice Research Newsletter 16(3): 25<br />
Du, P., V. Noda, T. and Lai, V. E. 2001. Studies on some aspects of red stripe disease of<br />
rice in the Mekong Delta. Pages 15-20 in: Proc. Planning Workshop Red Stripe. T. W.<br />
Mew. Ed. International Rice Research Institute. Los Banos, Philippines.<br />
Elazegui, F. A. and Castilla, N. P. 2004. Causal agent of red stripe disease of rice. Plant<br />
Disease 88(12): 1310-1317.<br />
Kaku, H. 2004. Histopathology of red stripe of rice. Plant Disease 88(12): 1304-1309<br />
Kaku, H., Subandiyah, S. and Ochiai, H. 2000. Red stripe of rice is caused by a bacterium,<br />
Microbacterium sp. Journal of General Plant Pathology 66(2): 149-152<br />
Mew, T. W. 2001. Planning workshop on red stripe. Limited Proceedings. Pp 1-56.<br />
Mew, T. W., Castilla, N. P., Elazegui, F. A. and Cruz, C. M. V. 2001. The etiology of red<br />
stripe of rice: Current status and future directions. International Rice Research Notes<br />
26(1): 4-10.<br />
Mogi, S., Sugandhi, Z. and Baskaro, S. W. 1988. A newly discovered disease (bacterial red<br />
stripe) on rice in Indonesia, its symptoms and distribution. In: Proceedings of the 5 th<br />
International Congress of Plant Pathology, Kyoto Japan. Abstr. P 388.<br />
Noda, T. and Chau, L. M. 1999. Rice pest management in the Mekong Delta of Vietnam.<br />
Agrochemicals, Japan 74: 23-26.<br />
Ou, S. H. 1984. Rice diseases. Second Edition. Commonwealth Mycological Institute, Kew,<br />
England. 61-89<br />
Phung, C. V. and Man, L. H. 1999. Effects of soil and nutrients on red stripe symptoms of<br />
rice. Paper presented at the planning workshop on red stripe 15-18 th March 1999, Ho<br />
Chi Minh City, Vietnam. PP 21-24.<br />
Rajamannar, M., Krishnam Raju, S., Vijay Krishna Kumar, K., Mohana Rao, V. and<br />
Adinarayana, M. 2007. Red stripe disease on rice in East and West Godavari districts<br />
of Andhra Pradesh. ORYZA Vol 44 (1) pp. 90-91<br />
12
RED STRIPE DISEASE IN RICE<br />
Saad, A. 2001. The occurrence of red stripe disease in Malaysia. Paper presented at the<br />
planning workshop on red stripe 15-18 th March 1999, Ho Chi Minh City, Vietnam. PP37-<br />
40.<br />
Saddler, G. S. 1998. Acidovorax avenae subsp. avenae. Descriptions of fungi and bacteria.<br />
IMI-Descriptions of Fungi and Bacteria 122: 1211.<br />
Shakya, D. D., Chung, H. S., Vinther, F. 1985. Transmission of Pseudomonas avenae, the<br />
cause of bacterial stripe of rice. Journal of Phytopathology 116:92-96.<br />
Song, W.Y., Kim, H.M., Hwang, C.Y. and Schaad, N.W. 2004. Detection of Acidovorax<br />
avenae ssp avenae in rice seeds using BIO-PCR. Journal of Phytopathology 152(11/<br />
12): 667-676<br />
Suparyono, 1999. An overview on the study of bacterial orange leaf blight of rice in Indonesia.<br />
Paper presented at the International workshop on red stripe, 15-18 th March 1999, Ho<br />
Chi Minh City, Vietnam<br />
Tuat, N. V. 1999. A research status of red stripe and associated diseases in Vietnam. Paper<br />
presented at the planning workshop on red stripe 15-18 th March 1999, Ho Chi Minh<br />
City, Vietnam.<br />
Vinh, M. T. 1997. Etiological studies on the yellow leaf syndrome of rice (Oryza sativa L.).<br />
M. S. Thesis. University of the Phillippines Los Banos. College, Laguna p. 77.<br />
Vinh, M. T., Mew, T. W., Bien, P. V. 1999. Etiological studies on the yellow leaf syndrome<br />
of rice ( Oryza sativa L.) Paper presented at the International workshop on red stripe,<br />
15-18 th March 1999, Ho Chi Minh City, Vietnam<br />
Wakimoto, S., Kim, P. V., Thuy, T. T., Tsuno, K., Kardin, M. K., Hartini, R. H., Surang,<br />
S., Sunetra, P., Nipalnit, N., Negishi, H. and Suyama, K. 1998. Micro-fungus closely<br />
associated with the lesions of red stripe disease of rice. Int.Congr.Plant Pathol.<br />
Abstracts of papers. Vol 3. Edinburgh. Scotland P3:6-11<br />
Webster, R. K. and Gunnell, P. S. 1992. Compendium of rice diseases. St. Paul, Minnesota:<br />
American Phytopathological Society.<br />
Yazid, M. E., Saad, A., Jatil, A. T. 1996. Historical profile and current rice disease management<br />
practices in Malaysia. Paper presented at the International Workshop on Rice Disease<br />
Management Technology in the Tropics, 11-13 June 1996, Sungai Petani, Kedah,<br />
Malaysia.<br />
13
J.Res. ANGRAU 36(4)14-23, 2008<br />
EFFECT OF IRRADIATION ON SHELF LIFE AND MICROBIOLOGICAL<br />
QUALITY OF MANGOES (Mangifera indica L.)<br />
P. PRABHU PRASADINI, MD. AJAZ ALI KHAN and P. GOPAL REDDY<br />
Department of Environmental Science and Technology, College of Agriculture,<br />
Rajendranagar, Hyderabad - 500 030<br />
ABSTRACT<br />
An experiment on improving the quality of mango variety Baneshan was conducted at Department<br />
of Environmental Science and Technology, College of Agriculture, ANGRAU, Hyderabad in 2006. Three<br />
treatments namely irradiation at 0.25, 0.50 and 0.75 kGy on the day of harvest and unirradiated control were<br />
tested in ten replications following completely randomized design. The result showed that the irradiation of<br />
mango fruits at 0.25 kGy improved several quality parameters. It reduced physiological loss in weight and kept<br />
the fruit without shriveling or development of spots with a firm skin and deterred the microbial load by two log<br />
cycles in the mango pulp from 7 to 15 days and three log cycles in fruit stalk base from 5 to 15 days. However,<br />
it increased citric acid while decreasing the total and reducing sugars during the period of study (17 days)<br />
compared to control. The reverse trend in increase in titratable acidity and reduction in total as well as<br />
reducing sugars in comparison to control is an important consideration for increasing the storage life of the<br />
fruits without deterioration.<br />
Mango is the most popular fruit crop grown in tropical and sub tropical parts of the<br />
world. India is the major producer contributing 60% to the world mango production (FAO,<br />
2002). In Andhra Pradesh, it is cultivated in more than 2.29 lakh hectares with 18.35 lakh<br />
tonnes production annually. The demand for Indian mango in the export market is high. But,<br />
its share is low. This is attributed to the poor post harvest quality of the fruit. The short period<br />
of availability is due to low shelf life, poor wholesomeness, hygiene damage by pests, diseases<br />
and microbes. It is estimated that improved post harvest quality can enhance the exports by<br />
25-30% by properly treating them to overcome quarantine barriers. Irradiation is one of the<br />
post harvest technique for preservation of fruits and vegetables to improve the quality for<br />
mango export. The ionizing radiation improves the storage life and hygiene.<br />
Hence, experiments were conducted to evaluate the effect of different irradiation<br />
treatments on the shelf life and post harvest quality of mangoes.<br />
MATERIALS AND METHODS<br />
Green mature mangoes variety namely Baneshan were manually harvested without<br />
stalks from the Fruit Research Station, Sangareddy, ANGR Agricultural University. There<br />
were three treatments and unirradiated control in 10 replications. Mangoes in each treatment<br />
were subjected to 0.25, 0.50 and 0.75 kGy irradiations and compared with unirradiated control.<br />
The source of irradiation- ã-rays was 60 Co-Metal (Half life 5.3 years and Energy of 1.17 MeV<br />
and 1.33 MeV) in the Gamma chamber at the post harvest technology laboratory. The fruits<br />
were studied for physico-chemical/physiological parameters and shelf life. Physico-chemical<br />
parameters were studied for fresh mass, titratable acidity (Ranganna, 1986), ascorbic acid<br />
e-mail : prabhuprasadini@rediffmail.com<br />
14
EFFECT OF IRRADIATION ON SHELF LIFE AND MICROBIOLOGICAL QUALITY<br />
(phosphoric acid method), total sugars and reducing sugars (AOAC, 1965). The microbiological<br />
parameters studied were total bacterial count in fruit pulp and petiole portion on SPC agar<br />
plates. The data was subjected to completely randomized design (Snedecor and Cochran,<br />
1973).<br />
RESULTS AND DISCUSSION<br />
The physiological loss as percent by dry weight of Baneshan mango increased<br />
progressively upto 15 days after harvest (Table 1). The mean loss was 2.43 % the next day<br />
after harvest and it increased to 21.09 % after 15 days. This trend was similar with the<br />
untreated or the irradiated mangoes at different radiation doses. Continuous loss in fresh<br />
weight of mango from the day of harvest to ripe stage was reported in Amrapali and Dashehari<br />
varieties (Zeng Yanru et al., 1995) and in Baneshan variety (Reddy and Srivastava, 2003).<br />
They attributed the weight loss to the consumption of biomass in the respiratory process<br />
which is the major pathway for carbon skeleton for synthesis of various metabolites.<br />
Irradiation at 0.25 or 0.50 kGy significantly reduced the weight loss (%) from the<br />
very day of observation compared to the unirradiated fruits. But irradiation at high dose of<br />
0.75 kGy had no significant difference on the magnitude of loss in weight. Similarly El-salhy<br />
et al. (2006) observed significant reduction in the physiological weight of Awais mangoes<br />
irradiated at lower doses of 0.50 and 1.0 kGy compared to those irradiated at higher doses of<br />
1.5 and 2.0 kGy and control. They reported a weight loss percentage of 3.9, 5.7 and 5.8 in<br />
fruits irradiated at 0.50 kGy, 2.0 kGy and untreated control, respectively.<br />
Table 1. Effect of irradiation on physiological loss in weight (%)<br />
Days after irradiation<br />
Irradiation dose (kGy)<br />
Untreated 0.25 0.50 0.75<br />
Mean<br />
1 3.66 1.23 1.23 3.61 2.43<br />
5 13.41 12.35 11.11 13.25 12.53<br />
7 14.64 12.35 12.35 14.46 13.45<br />
9 17.07 16.04 16.04 16.87 16.51<br />
11 18.29 16.04 16.04 16.87 16.81<br />
13 19.51 17.28 17.28 19.28 18.35<br />
15 21.95 19.75 20.99 21.69 21.09<br />
Mean 15.50 13.57 13.57 15.14 14.45<br />
SE ± CD at 5%<br />
Irradiation 0.48 0.96<br />
Days 0.64 1.27<br />
Irradiation X Days 1.27 NS<br />
15
PRASADINI et.al<br />
The effect of different treatments on ripening of mangoes as judged by the<br />
development of colour and firmness of the skin upto 10 days and 13 days of storage are<br />
furnished in Figures 1 and 2. The physical observations are described in Table 2. Irradiation<br />
of mangoes at 0.25 kGy was ideal. Mangoes remained green on 10 th day after harvest in<br />
contrast to unirradiated mangoes which turned yellow but remained firm. By 13 th day the<br />
unirradiated mangoes attained an attractive golden colour but the skin shrivelled and became<br />
soft. This is not liked by the consumers. But irradiation at 0.25 kGy kept the mangoes quite<br />
firm with no shrivelling and just turning golden yellow in colour. This is preferred by the<br />
consumers. Mangoes irradiated with 0.50 kGy developed spots on 10 th day and shriveled<br />
with soft but firm skin on 13 th day. El-salhy et al. (2006) concluded that higher dose of<br />
irradiation caused black spots in Awais mangoes through weight loss percentage and fruit<br />
decay. At a high dose of irradiation the spots magnified on 10 th day and by 13 days the fruits<br />
shriveled. Therefore irradiation of mangoes at 0.50 or 0.75 kGy reduced the quality and<br />
thereby its market value owing to less preference by the consumers.<br />
Table 2. Quality of mangoes on 10 th and 13 th days after irradiation<br />
Visual<br />
observation<br />
Irradiation dose(kGy)<br />
Untreated 0.25 0.50 0.75<br />
10 th day Yellow but firm Still green Less spots Spotted<br />
Plate No 1 2 3 4<br />
13 th day Gold Colour, No shrivelleing,<br />
S p o t t e d , Spotted,<br />
shrivelled and<br />
no shrivelled, soft shriveled,<br />
soft. Not preferred<br />
spots and very and firm. Less soft. Not<br />
by the firm. It is preferred by the preferred<br />
consumer since preferred by consumer. because of<br />
the skin shrivelled the consumer.<br />
spots and<br />
and was not firm.<br />
shriveling<br />
even at this<br />
stage.<br />
Plate No 1 2 3 4<br />
16
EFFECT OF IRRADIATION ON SHELF LIFE AND MICROBIOLOGICAL QUALITY<br />
PLATE -1 PLATE - 2<br />
PLATE - 3 PLATE - 4<br />
Fig. 1. Effect of irradiation on development of colour and firmness of skin in mangoes<br />
during storage upto 10 days<br />
PLATE - 5 PLATE - 6<br />
PLATE - 7 PLATE - 8<br />
Fig. 2. Effect of irradiation on development of colour and firmness of skin in mangoes during<br />
storage upto 13 days<br />
17
PRASADINI et.al<br />
The data on titratable acidity indicating the % citric acid is presented in Table 3. The<br />
freshly harvested fruits were rich in titratable acidity having a mean of 0.66 % citric acid on<br />
5 th day. It fell sharp with increase in the period of storage until 17 days having as low as 0.14<br />
% citric acid. Similar results of decline in citric acid content towards ripening were reported<br />
by Kumar et al. (1993) in Dasheri. The unirradiated fruits possessed significantly less quantity<br />
of citric acid althrough the period of storage compared to the dose irradiated at 0.25 kGy. It<br />
reduced at a higher dose of 0.50 kGy irradiation. This reduction was much higher at a high<br />
dose of 0.75 kGy irradiation. Such a steady fall in the citric acid content with irradiation, with<br />
progress of storage was reported by Bustos et al. (2004) and El-salhy et al. (2006) in Awais<br />
mangoes.<br />
Table 3. Effect of irradiation on Titratable acidity (% citric acid)<br />
Days after irradiation<br />
Irradiation dose (kGy)<br />
Untreated 0.25 0.50 0.75<br />
Mean<br />
1 3.66 1.23 1.23 3.61 2.43<br />
5 0.64 0.78 0.70 0.51 0.66<br />
7 0.45 0.58 0.51 0.45 0.49<br />
9 0.38 0.45 0.45 0.38 0.42<br />
11 0.32 0.38 0.45 0.19 0.33<br />
13 0.26 0.32 0.19 0.13 0.23<br />
15 0.19 0.26 0.19 0.19 0.21<br />
17 0.13 0.19 0.13 0.13 0.14<br />
Mean 0.34 0.42 0.37 0.28 0.35<br />
SE ± CD at 5%<br />
Irradiation 0.01 0.03<br />
Days 0.01 0.04<br />
Irradiation X Days 0.04 0.07<br />
Initial value 0.92<br />
The Ascorbic acid content exhibited gradual fall from mean 5.40 mg/100 mg from 5<br />
days until 2.00 mg/100 mg to 15 days after storage (Fig 3). Initial value (before irradiation) of<br />
ascorbic acid was 6.4 mg/100 mg. This trend was stable in the control and irradiated mangoes.<br />
18
EFFECT OF IRRADIATION ON SHELF LIFE AND MICROBIOLOGICAL QUALITY<br />
But the relative quantity of ascorbic acid reduced significantly at different stages of observation<br />
from 7 th to 13 th days after storage. Irradiated samples showed more loss of ascorbic acid<br />
than control samples. Irradiated samples showed more loss of ascorbic acid than control<br />
samples.<br />
The total sugars increased progressively from 5 to 17 days after harvest in all the<br />
treatments (Table 4). The mangoes harvested after 5 days had a low mean sugar content of<br />
5.62 % and it increased almost three fold to 14.5 % by 17 th day. The sweetness reduced in<br />
the irradiated mangoes. This reduction was perhaps due to the conversion of metabolic<br />
sugar vis-à-vis the continued respiratory loss. High sugar % and low acidity are known to<br />
give the fruit pulp a pleasant appetizing taste (Tandon and Kalra, 1983; Zeng Yanru et al.,<br />
1995). Irradiation in the present investigation reduced the acidity at a fast rate but also<br />
reduced the sugar content in comparison to control samples.<br />
19
PRASADINI et.al<br />
Days after irradiation<br />
Table 4. Effect of irradiation on total sugars (%)<br />
Irradiation dose (kGy)<br />
Untreated 0.25 0.50 0.75<br />
Mean<br />
5 6.06 5.18 5.48 5.78 5.62<br />
7 8.64 7.13 7.31 7.70 7.69<br />
9 9.83 7.92 8.14 8.91 8.70<br />
11 11.04 9.19 9.83 10.56 10.15<br />
13 13.57 10.18 11.40 12.39 11.88<br />
15 15.00 11.40 12.39 13.57 13.09<br />
17 15.83 12.95 14.25 15.00 14.50<br />
Mean 11.42 9.13 9.82 10.55 10.23<br />
SE ± CD at 5%<br />
Irradiation 0.31 0.63<br />
Days 0.41 0.84<br />
Irradiation X Days 0.83 1.69<br />
Initial value 4.38<br />
The reducing sugars also increased continuously from a low mean of 1.95 % after 5<br />
days of harvest to 4.89 % at 17 days (Table 5). The unirradiated mangoes invariably had<br />
significantly more quantity of reducing sugars at any time during the period of storage upto<br />
17 days. This reduction was relatively more at 0.25 kGy than at 0.50 or 0.75 kGy.<br />
Days after irradiation<br />
Table 5. Effect of irradiation on reducing sugars (%)<br />
Irradiation dose (kGy)<br />
Untreated 0.25 0.50 0.75<br />
Mean<br />
5 2.33 1.73 1.81 1.93 1.95<br />
7 3.00 2.07 2.19 2.38 2.41<br />
9 3.45 2.38 2.53 2.78 2.78<br />
11 4.07 2.71 2.92 3.26 3.24<br />
13 4.96 2.85 3.08 3.93 3.70<br />
15 5.43 3.17 3.45 3.80 3.96<br />
17 6.00 4.07 4.56 4.96 4.89<br />
Mean 4.17 2.71 2.93 3.29 3.27<br />
- - - -<br />
SE ± CD at 5%<br />
Irradiation 0.09 0.21<br />
Days 0.13 0.27<br />
Irradiation X Days 0.27 0.55<br />
Initial value 1.27<br />
20
EFFECT OF IRRADIATION ON SHELF LIFE AND MICROBIOLOGICAL QUALITY<br />
The colony forming units of microbial load were 0.027 millions/ml in the pulp of<br />
untreated mangoes after 5 days of harvest (Table 6). But the microbial load recorded a<br />
sudden spurt and within 2 days > 1 log cycle increase in the colony forming units of microbial<br />
load was observed. Irradiation at 0.25 kGy and 0.50 kGy significantly reduced microbial load<br />
by about one log cycle on 5 th day but by two log cylces from 7 to 15 days after harvest.<br />
Higher dose of irradiation at 0.75 kGy was relatively less effective. The reduction of microbial<br />
load was by one log cycle compared to control from 7 to 15 days. Therefore irradiation at<br />
0.25 kGy reduced chances of spoilage of fruits several fold compared to the control.<br />
Table 6. Effect of irradiation on Total bacterial count in mango pulp expressed as<br />
Colony Forming Units (millions/ml)<br />
Days after irradiation<br />
Irradiation dose (kGy)<br />
Untreated 0.25 0.50 0.75<br />
Mean<br />
5 0.027 0.0028 0.0025 0.028 0.008<br />
7 0.28 0.0029 0.0028 0.027 0.078<br />
9 0.25 0.0029 0.0029 0.024 0.069<br />
11 0.28 0.0028 0.0030 0.029 0.079<br />
13 0.28 0.0029 0.0028 0.026 0.078<br />
15 0.29 0.0027 0.0030 0.029 0.081<br />
Mean 0.234 0.0028 0.0028 0.027 0.065<br />
SE ± CD at 5%<br />
Irradiation 0.004 0.01<br />
Days 0.005 0.01<br />
Irradiation X Days 0.01 0.02<br />
The colonization of microbia at the stalk base of mangoes were very high than the<br />
pulp, since this is the entry point for the microbes (Table 7). The unirradiated mangoes were<br />
heavily loaded to the extent of 2.66 to 2.90 millions/ml at different times of storage from 5 to<br />
15 days after harvest. The irradiation treatments reduced this microbial load by three log<br />
cylces. The effect of irradiation at 0.25 kGy was on par with 0.50 or 0.75 kGy.<br />
21
PRASADINI et.al<br />
Table 7. Effect of irradiation on Total bacterial count in mango fruit stalk base<br />
expressed as Colony Forming Units (millions/ml)<br />
Days after irradiation<br />
Irradiation dose (kGy)<br />
Untreated 0.25 0.50 0.75<br />
Mean<br />
5 2.90 0.026 0.029 0.030 0.746<br />
7 2.76 0.024 0.028 0.029 0.710<br />
9 2.66 0.025 0.030 0.023 0.685<br />
11 2.77 0.025 0.022 0.028 0.711<br />
13 2.75 0.028 0.028 0.029 0.709<br />
15 2.80 0.027 0.028 0.028 0.721<br />
Mean 2.77 0.025 0.027 0.027 0.713<br />
SE ± CD at 5%<br />
Irradiation 0.03 0.05<br />
Days 0.03 NS<br />
Irradiation X Days 0.06 NS<br />
The result indicates that the irradiation of mangoes at 0.25 kGy improved the quality<br />
of mangoes by reducing physiological loss in weight, reducing the acidity and substantially<br />
reducing the microbial load in the pulp and stalk base while keeping the fruits fresh with firm<br />
skin without the development of spots until 13 days compared with control. The reverse<br />
trend in increasing titratable acidity and reduction in total sugars as well as reducing sugars<br />
compared to control is an important consideration to increase the time of storage of the fruits<br />
without deterioration.<br />
REFERENCES<br />
AOAC. 1965. Methods of Analysis of the Association of Official Agricultural Chemists. 10 th<br />
Edn. Washington. DC. USA. pp. 212<br />
Bustos, M.E., Enkerlin W., Royes J. and Toledo, T. 2004. Irradiation of mangoes as post<br />
harvest quarantine treatment for fruit flies (Dipteroi Tephritidae): Acta Horticulture.<br />
553(1): 79-81<br />
22
EFFECT OF IRRADIATION ON SHELF LIFE AND MICROBIOLOGICAL QUALITY<br />
El-salhy, F.T.A., Khafagy, S.A.A. and Haggag, L.F. 2006. The changes that occur in<br />
mango fruits treated by irradiation and hot water during cold storage. Journal of Applied<br />
Sciences Research. 2(11): 864-868<br />
FAO Statistics 2002. http://apps.fao.org/page/collections?subset=agriculture date of<br />
download: January 10, 2002.<br />
Kumar, S., Das, D.K., Singh, A.K. and Prasad, U.S. 1993. Change in non-volatile organic<br />
acid composition and pH during maturation and ripening of two mango cultivars.<br />
Indian Journal of Plant Physiology XXXIV(2): 107-111.<br />
Ranganna, S. 1986. Hand Book of Analysis and Quality Control for Fruit and Vegetable<br />
Products. Second Edn. Tata McGraw Hill Book Co. New Delhi. pp 1-112<br />
Reddy, Y.V. and Srivastava, G.C. 2003. Superoxide dismutase and peroxidase activities in<br />
ripening mango (Mangifera indica L.) fruits. Indian Journal of Plant Physiology. 8(2):<br />
115-119<br />
Snedecor, G.W. and Cochran, W.G. 1973. Statistical methods. 6 th Edition Iowa state University<br />
Press, Ames, Iowa, USA.<br />
Tandon, D. K. and Kalra, S. K. 1983. Changes in sugars, starch and amylase activity during<br />
development of mango fruit cv. Dashehari. Journal of Horticultural Science. 58(3):<br />
449-453<br />
Zeng Yanru, Pandey, M., Prasad, N.K. and Srivastava, G.C. 1995. Ripening associated<br />
changes in enzymes and respiratory activities in three varieties of mango (Mangifera<br />
indica L.). Indian Journal of Plant Physiology. 38(1): 73-76.<br />
23
J.Res. ANGRAU 36(4)24-32,2008<br />
COMBINING ABILITY AND HETEROSIS FOR FRUIT YIELD AND<br />
YIELD COMPONENTS IN RIDGE GOURD (Luffa acutangula L.)<br />
B. NEERAJA PRABHAKAR<br />
Vegetable Breeding Station, ARI,<br />
Acharya N.G.Ranga Agricultural University,<br />
Rajendranagar, Hyderabad - 500 030<br />
ABSTRACT<br />
Nature of gene action was estimated in 18 Ridge gourd hybrids derived by crossing six lines namely<br />
Jagtial long, Jaipur long, Chitrada beera, Pusa Nasdar, Errabalam local and LA-9 and three testers namely<br />
LA-12, LA-17 and LA-97.They were evaluated for fruit yield and yield components during summer 2000 and<br />
2001 at Vegetable Breeding Station, ARI, Rajendranagar, Hyderabad. The genotypic differences were significant<br />
for all the characters. The L X T sum of squares were significant for fruit yield per plant indicating predominant<br />
role of non-additive gene action for fruit yield and most of it’s components.<br />
The parental lines Pusa Nasdar, Jagtial long and LA-17 were good general<br />
combiners for fruit yield and contributed maximum favourable genes. For number of fruits<br />
per vine and fruit length, Pusa Nasdar, Jagtial Long were good general combiners and can<br />
be used in improving these characters in breeding programme. The cross combinations<br />
Jaipur long X LA-97, Pusa Nasdar X LA-12 were best specific crosses for both the seasons.<br />
In Jaipur long X LA-97, both the parents were poor combiners therefore this cross can be<br />
used for heterosis breeding. In the cross Pusa Nasdar X LA-12 both the parents were good<br />
combiners and governed by additive gene action which is fixable in nature. Therefore following<br />
pedigree method or any selection scheme, good progenies can be identified from the<br />
segregating generations. The crosses Pusa Nasdar X LA-12, Pusa Nasdar X LA-17 have<br />
recorded maximum standard heterosis of more than 23% over the high yielding commercial<br />
hybrid Surekha.<br />
Ridge gourd (Luffa acutangula L.) being monoceious is highly cross pollinated and<br />
manifestation of heterosis offers good potentialities for increasing yield. Heterosis in cucumber<br />
was first reported by Hayes and Jones (1961). Abusaleh and Dutta (1995) reported that<br />
the F1-hybrids were early fruiting and high yielding and better in size, number and weight<br />
of fruits when compared to their corresponding parents in sponge gourd. Line X Tester analysis<br />
is useful for preliminary evaluation of genetic stock for use in hybridization programmes with<br />
a view to identify good combiners, which may be used to build up population with favourable<br />
email: drboganeeraja@gmail.com<br />
24
COMBINING ABILITY AND HETEROSIS<br />
fixable genes for effective yield improvement. The present study was conducted to determine<br />
the extent of heterosis, general and specific combining ability of parents and crosses<br />
respectively in certain selected genotypes of ridge gourd.<br />
MATERIALS AND METHODS<br />
Six lines viz., Jagtial Long, Jaipur long, Chitrada beera, Pusa Nasadar, Errabalem<br />
local and LA-9 were crossed with three testers viz.,LA-12 , LA-17 and LA-97 which were<br />
selected on the basis of better adoption and desirable traits. The 18 F 1<br />
hybrids along with<br />
their parents and two commercial hybrids viz; Surekha, NS-3 from private sector and LA-37<br />
a local check variety, were evaluated during summer 2000 and 2001 in Randomized Block<br />
Design with two repeats at Vegetable Research Section, Agricultural Research Institute,<br />
Rajendranagar, Acharya N.G. Ranga Agricultural University, Hyderabad. The plants were<br />
raised in channels adopting a spacing of 2.5 m x 0.5 m between and within row respectively.<br />
Observations were recorded on five randomly selected plants for nine characters viz., vine<br />
length, number of branches per vine, days to 50% flowering (female flowering), node no. at<br />
which first female flower appeared, no. of fruits per vine, yield (g) per vine, average fruit<br />
weight, fruit length and girth. Standard heterosis was calculated over the high yielding<br />
commercial hybrid Surekha as per cent increase in yield of F 1<br />
. Genetic analysis for evaluating<br />
parents and hybrids was done as per the procedure suggested by Kempthorne (1957).<br />
RESULTS AND DISCUSSION<br />
The analysis of variance for fruit yield and its variables (Table–1) revealed highly<br />
significant differences among all parents and hybrids for all the characters indicating the<br />
presence of considerable amount of genetic variability. The parents vs crosses comparision<br />
was significant for all the characters during summer 2000, except for vine length, number of<br />
branches per vine, node no. at which first female flower appeared and fruit length. During<br />
summer, 2001 also they were significant for all the characters except node no. at which first<br />
female flower appeared indicating the expression of heterotic effects for the remaining traits.<br />
The mean squares due to hybrids were highly significant for all the characters. Lines were<br />
significant for days to 50% flowering during summer, 2000, while for average fruit weight,<br />
fruit length and girth during summer, 2001. They differed significantly for fruit yield in both<br />
the years. Testers were non-significant for all the character in both the years indicating not<br />
much variation among the testers. Line x tester effects were significant for all the characters<br />
except for number of branches per vine during summer, 2000.<br />
The estimates of gca effects along with per se performance for various characters<br />
are presented in Table-2. Among lines Pusa Nasadar, Jagtial Long recorded higher per se<br />
for fruit yield and contributed maximum favourable genes in respect of yield in both the<br />
years. These lines turned out to be good general combiners and can be used as donors in<br />
yield improvement programme.<br />
25
NEERAJA<br />
Among the testers, LA-17 significantly contributed maximum favourable genes for<br />
fruit yield during summer 2001 and number of fruits per vine in both the years.<br />
Among the lines Pusa Nasdar is also a good combiner in respect of early flowering,<br />
average fruit weight, fruit length, no. of fruits per vine and fruit yield. Jagtial long is found<br />
to be a good combiner in respect of no. of fruits per vine and fruit yield per vine. LA-9<br />
contributed favourable genes for lesser node no. at which first female flower appeared.<br />
Therefore, these parental lines can be used to improve these specific characters.<br />
The specific combining ability (sca) effects are presented in Table – 3. The best<br />
specific combinations of crosses for fruit yield were Pusa Nasdar x LA-17, Pusa Nasadar x<br />
LA-12, Jaipur long x LA-97, Jagtial long x LA-12. The cross combinations Jaipur long x<br />
LA-97, Pusa Nasadar x LA-12 were the best specific crosses in both the years. The increased<br />
yield in cross Pusa Nasdar x LA-17 was due to early 50% female flowering (-6.86% heterosis);<br />
lower node no. at which first female appeared (-19.23% heterosis); fruit length (33.5% heterosis)<br />
and fruit girth (9.27% heterosis) and number of fruits per vine (83.33% heterosis). Gill et al.,<br />
(1971) also reported in summer squash that there was the tendency for hybrids to bear the<br />
first female flower at lower node which results in more number of female flowers, and serves<br />
as an index of earliness and increased fruit yield respectively. In cross Pusa Nasadar x LA-<br />
17, both the parents are good combiners and governed by additive gene action which is<br />
fixable in nature. Therefore, following pedigree method or any other selection procedure,<br />
true breeding good progenies can be identified from the segregating population in succeeding<br />
generations. In the cross combination Pusa Nasadar x LA-12 and Jaipur long x LA-97 only<br />
one of the parent is a good combiner; and higher fruit yield in these crosses can be exploited<br />
by heterosis breeding. Abusaleha and Dutta (1994) also observed involvement of one high<br />
yielding parent in best specific crosses in ridge gourd.<br />
Heterosis over mid parent, better parent and standard check were estimated for fruit<br />
yield considering the mean data of the two years (Table-4). The percent of heterosis ranged<br />
from –56.52 in Jaipur long x LA-12 to 112.34% in Chitrada beera x LA-17 and heteorbeltiosis<br />
– 58.33 in Jaipur long x LA-17 to 97.92% in Jagtial long x LA-12 and standard heterosis from<br />
–74.09% in Jaipur long x LA-12 to 24.04% in Pusa Nasadar x LA-17. For exploiting heterosis<br />
commercially the hybrid must be superior to check variety/hybrid. In the present investigation,<br />
the positive standard heterosis over commercial hybrid Surekha was observed only in two F 1<br />
hybrids i.e., Pusa Nasdar x LA-17 (24.04%) and Pusa Nasadar x LA-12 (23.47%). In the first<br />
hybrid, expression of higher yield is due to accumulation of favourable genes for earliness,<br />
number of fruits per vine, fruit size from both the parents while in other hybrid only one parent<br />
is good combiner. Though both the hybrids can be commercially exploited for heterosis<br />
breeding, the cross Pusa Nasdar x LA-17 where both parents are good combiners and can<br />
be used in spotting higher yielding segregants through selection.<br />
26
COMBINING ABILITY AND HETEROSIS<br />
Table 1. Analysis of variance for parents and F1’s in ridge gourd (summer, 2000 and 2001)<br />
Crosses DF Vine length<br />
(m)<br />
2000<br />
No. of<br />
branches /<br />
vine<br />
Days to<br />
50%<br />
flowering<br />
Node no. at<br />
which first<br />
flower<br />
appeared<br />
Average fruit<br />
wt.(g)<br />
No. of<br />
fruit/vine<br />
Fruit length Fruit girth Yield g /vine<br />
2001 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001<br />
Replications 1 0.21 0.039 0.46 0.01 0.47 2.24 0.76 1.19 16.07 9.76 0.07 0.91 0.02 1.13 5.87* 0.07 1667.11 4267.33<br />
Treatments 26 0.64 ** 0.35 ** 4.00 * 4.04 30.7 ** 29.8 ** 8.95 ** 14.6 ** 838.58 ** 2629.58 ** 10.5 ** 6.36 ** 36.0 ** 45.4 ** 10.3 ** 8.05 ** 199694.61 ** 87916.84 **<br />
Parents 8 0.99 0.50** 4.84 * 5.6 ** 18.9 ** 32.6 ** 4.07 ** 5.95 652.57 ** 473.00 ** 2.57 ** 3.72 ** 52.8 ** 24.5 ** 22.0 ** 9.49 ** 37250.00 ** 75088.89 **<br />
Lines 5 0.73 0.23 0.44 4.79 80.3** 45.78 2.05 24.95 1757.99 8875.20 ** 11.98 10.51 33.76 115.31 ** 4.30 14.15 * 426737.84 * 198133.34 **<br />
Testers 2<br />
0.62 0.00 9.84 0.17 6.86 7.12 10.46 4.82 206.81 214.75 3.07 5.44 4.24 6.21 9.22 7.58 19144.67 53733.33<br />
L’s x T’s 10 0.39 ** 0.29 ** 3.94 3.3 ** 20.59 18.3 ** 16.9 ** 19.4 ** 697.15 ** 1845.65 ** 11.91 ** 5.58 ** 33.1 ** 37.2 ** 4.77 ** 4.18 ** 3557.73 ** 43586.66 **<br />
Crosses 17 0.52 0.24** 3.61 3.4 ** 36.5 ** 25.1 ** 11.8 ** 19.3 ** 951.48 ** 3721.29 ** 10.9 ** 7.01 ** 29.90 ** 56.5 ** 5.16 ** 7.52 ** 218091.50 ** 90235.2 **<br />
Parents x<br />
crosses<br />
Error 26<br />
2 gca 0.03<br />
2 sca 0.14<br />
2 gca/<br />
2 sca<br />
1 0.02 0.95** 4.08 2.7 ** 26.0 ** 88.9 ** 0.45 3.63 407.42 ** 1323.00 65.9 ** 16.3 ** 4.90 23.0 ** 4.48 * 5.60 ** 86504.50 ** 151126.89 **<br />
0.12 0.02 1.93 0.14 1.62 3.16 0.51 2.77 24.33 70.88 0.41 0.89 1.74 2.14 0.95 0.26 1928.19 3112.80<br />
-0.02 0.13 -0.09 2.55 0.90 -1.18 -0.50 31.69 299.93 -0.49 0.27 -1.57 2.62 0.22 0.74 7709.28 9149.63<br />
0.14 1.00 1.60 9.49 7.56 8.17 8.33 336.41 887.39 5.75 2.34 15.68 17.53 1.91 1.96 75814.78 20236.93<br />
0.23 -0.15 0.13 0.06 0.27 0.12 -0.14 0.06 0.094 0.34 0.08 0.11 0.10 0.15 0.12 0.39 0.10 0.45<br />
27
NEERAJA<br />
Table 2. Estimates of general combining ability effects of parents for yield and it’s components in ridge gourd<br />
Parents Vine length<br />
(m)<br />
No. of<br />
branches /<br />
vine<br />
Days to 50%<br />
female<br />
flowering<br />
Node no. at<br />
which first<br />
flower<br />
appeared<br />
Average fruit<br />
weight (g.)<br />
No. of<br />
fruit/vine<br />
Fruit length<br />
(cm)<br />
Fruit girth<br />
(cm)<br />
Yield g/vine<br />
Lines 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001 2000 2001<br />
JagtialLong 0.46** -0.17 0.36 0.33* 0.69 -0.22 -0.04 -1.46* 20.27 ** -11.00 ** 0.81 ** 1.06 ** 1.14 * -3.54 ** 0.56 -0.75 85.56** 160.00 **<br />
Jaipur long -0.41 ** 0.14 0.11 0.16 3.69** 3.78 ** 0.594 1.61 * 0.26 -7.50* -1.37 ** -1.61 ** -0.44 -2.97** 0.54 1.02** -264.45 ** -200.00 **<br />
Chitrada<br />
beera<br />
Pusa<br />
Nasadar<br />
Errabalam<br />
local<br />
-0.21 0.25 -0.31 0.93** 4.69 ** 2.11 * 0.19 2.41** 16.49 ** 65.50 ** -1.22 ** 0.06 -3.19** 4.19 ** -0.79 2.52** -164.44 ** 163.33 **<br />
-0.02 0.08 -0.06 -0.01 -4.14** -4.22 ** -0.31 0.81 22.09** 21.50 ** 2.38 ** 1.39 ** 3.63 6.83** 0.52 -0.05 478.89** 116.67 **<br />
-0.21 -0.26 -0.31 -1.71** -3.31 ** -1.22 0.53 -0.26 -1.51 -26.50** -0.05 0.72 0.58 -1.84* 0.52 -1.12** 12.22 3.33<br />
LA-9 0.38* -0.04 0.19 0.29 -1.64** -0.22 -0.97** -3.09 ** -17.07 ** -42.00 ** -0.55 * -1.61 ** -1.72 -2.67 -1.34** -1.62 ** -147.78 ** -243.33 **<br />
S.E (gi) 0.14 6.33 0.57 0.15 0.52 0.73 0.29 0.68 2.01 3.44<br />
0.26 0.39 0.54 0.60 0.40 0.21 17.93 22.77<br />
Testers<br />
LA-12 0.18 0.01 1.03 * 0.08 0.11 0.44 -0.56* 0.64 1.09 1.08 -0.56** -0.11 0.69 0.83 0.55 -0.83** 23.89 6.67<br />
LA-17 0.08 0.00 -0.68 -0.14 -0.81 -0.89 1.08 ** 0.02 -4.59** 3.58 0.43* 0.72 ** -0.36<br />
-0.47 0.46 0.08 22.22 63.33**<br />
LA-97 -0.26* -0.00 -0.35 0.06 0.69 0.44 -0.52* 0.62 3.49* -4.67 0.13 -0.61 * -0.32 -0.36 -1.01** 0.75 ** -46.11 ** -70.00 **<br />
S.E (gi) 0.10 4.48 0.40 0.11 0.37 0.51 0.21 0.48 1.42 2.43<br />
0.19 0.27 0.38 0.42 0.28 0.15 12.68 16.11<br />
28
COMBINING ABILITY AND HETEROSIS<br />
Table 3 . Estimates of Sca’ effects of 18 hybrids for yield and yield components<br />
Crosses Vine length(m) Days to 50% female<br />
flowering<br />
Node no. of first<br />
female flower<br />
Length of the fruit (cm) Girth of the fruit (cm)<br />
2000 2001 2000 2001 2000 2001 2000 2001 2000 2001<br />
Jagtial Long x LA-12 0.22 0.44 ** 0.89 0.56 1.84 ** -2.76 * 3.164 ** -0.96 1.63 * -0.43<br />
Jagtial Long x LA-17 -0.23 -0.05 1.19 -0.11 2.52 ** -2.72 0.56 1.14 1.10 1.05 **<br />
JagtialLlong x LA-97 0.01 -0.39 ** 0.31 -0.44 -0.68 5.48 ** -3.73 ** -0.18 0.53 -0.62<br />
Jaipur long x LA-12 -0.66 * 0.31 ** 1.89 0.56 -0.78 1.48 -3.50 ** -4.03 ** -0.21 -1.30 **<br />
Jaipur long x LA-17 0.89 ** -0.24 * -3.19 ** -2.11 1.59 ** 0.31 -4.35 ** 2.07 0.62 -0.62<br />
Jaipur long x LA-97 -0.23 -0.07 1.31 1.56 -0.81 -1.79 7.86 ** 1.96 -0.41 1.92 **<br />
Chitrada beera x LA-12 -0.06 0.06 1.89 * 1.22 3.62 ** -0.12 -1.15 ** 0.41 1.42 0.40<br />
Chitrada beera x LA-17 -0.06 0.07 -1.19 -1.44 -5.01 ** -0.49 1.55 ** 4.12 ** -0.05 1.28 **<br />
Chitrada beera x LA-97 0.12 -0.13 -0.69 0.22 1.39 * 0.61 -0.39 -4.51 ** -1.37 -1.68<br />
Pusa Nasadar x LA-12 0.01 -0.12 -4.78 ** -3.44 ** -2.38 ** 1.48 -1.77 ** -0.43 0.25 0.07<br />
Pusa Nasadar x LA-17 -0.34 0.34 ** 5.64 ** 3.89 ** -1.21 * 1.81 1.58 ** 0.72 0.39 0.75<br />
Pusa Nasadar x LA-97 0.34 -0.23 * -0.86 -0.44 3.59 ** -3.29 ** 0.19 -0.34 -0.64 -0.82 *<br />
Errabalam local x LA-12 0.39 -0.11 2.89 ** 4.56 ** 0.59 3.04 * 0.48 6.34 ** 1.80 * 1.53 **<br />
Errabalam local x LA-17 -0.06 -0.14 -1.19 -1.11 0.66 -1.12 -1.42 ** -8.56 -1.21 -2.08 **<br />
Errabalam local x LA-97 -0.33 0.25 * -1.69 -3.44 * -1.24 * -1.92 0.94 ** 2.22 * -0.59 0.55<br />
LA-9 x LA-12 0.11 -0.59 ** -2.78 ** -3.44 * 0.79 -3.12 * 2.78 ** -1.33 -1.63 -0.27<br />
LA-9 x LA-17 -0.19 0.02 1.14 0.89 1.46 ** 2.21 2.08 ** 0.47 -0.85 -0.38<br />
LA-9 x LA-97 0.09 0.57 ** 1.64 2.56 -2.24 ** 0.91 -4.86 ** 0.86 2.48 ** 0.65<br />
SE(Sii) 0.25 0.11 0.90 1.26 0.51 1.18 0.45 1.04 0.69 0.36<br />
Table3 contd….<br />
29
NEERAJA<br />
Crosses Wt. of the fruit (g.) No. of fruits / vine No. of branches / vine Yield(g)/ vine<br />
2000 2001 2000 2001 2000 2001 2000 2001<br />
Jagtial Long x LA-12 1.04 -4.08 0.11 0.78 -0.28 1.36 ** 139.44 ** 13.33<br />
Jagtial Long x LA-17 2.52 6.42 -1.03 * -1.06 -1.07 -0.43 -148.89 ** -33.33<br />
Jagtial Long x LA-97 -3.56 -2.33 0.92 0.28 1.35 -0.93 ** 9.44 20.00<br />
Jaipur long x LA-12 -21.09 ** -14.58 * -3.16 ** -1.56 * 2.72 * 0.52 -400.56 ** -236.67 **<br />
Jaipur long x LA-17 7.09 -17.58 ** -0.10 * -0.39 -0.57 -0.76 ** 1.11 -43.33<br />
Jaipur long x LA-97 14.01 ** 32.17 ** 4.16 ** 1.94 ** -2.15 * 0.24 399.45 ** 280.00 **<br />
Chitrada beera x LA-12 22.67 ** 11.92 -1.05 * -0.22 0.14 -0.24 -170.56 ** 90.00 *<br />
Chitrada beera x LA-17 -32.45 ** 12.92 * 2.30 ** -0.06 0.60 -0.53 241.11 ** -66.67<br />
Chitrada beera x LA-97 9.77 ** -24.83 ** -1.25 * 0.28 -0.74 0.77 ** -70.56 * -23.33<br />
Pusa Nasadar x LA-12 -5.23 -1.58 1.49 ** 2.44 ** -0.86 1.19 ** 146.11 ** 106.67 *<br />
Pusa Nasadar x LA-17 17.96 ** 43.92 ** 1.51 ** -0.39 0.35 -0.39 167.78 50.00<br />
Pusa Nasadar x LA-97 -12.73 ** -33.33 ** -2.10 ** -2.06 ** 0.51 -0.79 ** -313.89 ** -156.67 **<br />
Errabalam local x LA-12 13.97 ** 30.42 ** 1.89 -1.89 ** -0.86 -0.41 272.78 ** 60.00<br />
Errabalam local x LA-17 -8.24 * -45.08 ** -1.82 ** 2.28 ** 0.35 0.81 ** -295.56 ** 73.33<br />
Errabalam local x LA-97 -5.73 14.67 * -0.07 -0.39 0.51 -0.39 22.78 -133.33 **<br />
LA-9 x LA-12 -11.36 ** -13.08 * 0.72 0.44 -0.86 -2.41 ** 12.78 -33.33<br />
LA-9 x LA-17 13.12 ** -0.58 0.04 -0.39 0.35 1.31 ** 34.44 20.00<br />
LA-9 x LA-97 -1.76 13.67 * -0.76 -0.06 0.51 1.11 ** -47.22 13.33<br />
SE (Sii) 3.49 5.95 0.45 0.67 0.98 0.26 31.05 39.45<br />
30
COMBINING ABILITY AND HETEROSIS<br />
Table 4. Per cent heterosis, heterobeltiosis and standard heterosis for yield in ridge gourd<br />
(Mean of two years)<br />
S.No.<br />
Crosses<br />
FruitYield<br />
t/ha<br />
Heterosis Heterobeltiosis<br />
Standard Heterosis<br />
(over Surekha)<br />
1 Jagtial Long x LA-12 14.35 100.00 97.92 -0.04<br />
2 Jagtial Long x LA-17 12.23 63.863 55.80 -14.80<br />
3 Jagtial Long x LA-97 12.56 27.56 125 -12.55<br />
4 Jaipur long x LA-12 3.72 -56.52 -58.33 -74.09<br />
5 Jaipur long x LA-17 7.85 8.33 0.00 -45.30<br />
6 Jaipur long x LA-97 11.93 30.00 -2.50 -16.87<br />
7 Chitrada beera x LA-12 10.65 97.22 47.92 -25.81<br />
8 Chitrada beera x LA-17 13.16 112.34 65.38 -8.34<br />
9 Chitrada beera x LA-97 9.39 15.60 -21.25 -34.61<br />
10 Pusa Nasadar x LA-12 17.73 101.72 72.06 23.47<br />
11 Pusa Nasadar x LA-17 17.81 96.67 73.55 24.04<br />
12 Pusa Nasadar x LA-97 11.25 0.00 -7.50 -21.65<br />
13 Errabalam local x LA-12 13.89 84.00 76.92 -3.25<br />
14 Errabalam local x LA-17 10.18 28.85 28.85 -29.08<br />
15 Errabalam local x LA-97 9.64 4.55 -21.25 -32.89<br />
16 LA-9 x LA-12 8.11 20.00 12.50 -43.54<br />
17 LA-9 x LA-17 9.21 22.00 17.31 -35.81<br />
18 LA-9 x LA-97 7.03 -24.59 -42.50 -51.00<br />
31
NEERAJA<br />
REFERENCES<br />
Abusaleha and Dutta O.P. 1994. Manifestation of heterosis in ridge gourd. Indian Journal of<br />
Horticulture. 51(4) : 389-392.<br />
Abusaleha and Dutta O.P. 1995. Studies on heterosis in Sponge gourd. Indian Journal of<br />
Horticulture. 52(3) 222-225<br />
Gill, H.S., Singh, J.P. and Singh, R. 1971. Studies on heterosis in summer squash Progressive<br />
Horticulture. 32: 105-106<br />
Hayes, H.K. and Jones, D.F. 1916a. First generation crosses in cucumber. Report of<br />
Conon Agricultural Experimental Station. 5: 319-20.<br />
Kempthorne, C. (1957). An introduction to genetical statistics. John Wiley and Sons Inc.,<br />
New York.<br />
32
J.Res. ANGRAU 36(4)33-40, 2008<br />
AWARENESS AND ADOPTION OF COTTON (Gossypium hirsutum L.)<br />
INTEGRATED PEST MANAGEMENT PRACTICES BY THE FARMERS<br />
OF WARANGAL DISTRICT IN ANDHRA PRADESH<br />
G. SIVANARAYANA, M. RAMADEVI and P. VENKATA RAMAIAH<br />
District Agricultural Advisory and Transfer of Technology Center, Warangal<br />
Acharya N.G. Ranga Agricultural University, Rajendranagar, Hyderabad - 500 030<br />
Cotton (Gossypium hirsutum L) is one of the main cash crops in India. In Andhra<br />
Pradesh it is cultivated in 10 lakh hectares out of which 1.6 lakh hectares was in Warangal<br />
district during 2006 - 2007. It occupies only 5% of the cultivated area in India but 55% of the<br />
total pesticides are applied to this crop alone(Agricultural statistics at a glance, 1997). In<br />
spite of dramatic advances in pest control through chemical pesticides over the last half<br />
century, pests have become an increasingly serious constraint in the agricultural production.<br />
Simultaneously, the problems of pest resistance and resurgence vis-à-vis minor pests<br />
becoming major have increased dramatically.. The only amicable solution is Integrated<br />
Pest Management. This is a system approach involving the use of cultural practices, crop<br />
husbandry, resistant varieties, biological and chemical control strategies. The purpose of<br />
this investigation was to study the level of awareness and adoption of Integrated Pest Management<br />
practices by the farmers in cotton.<br />
MATERIALS AND METHODS<br />
ABSTRACT<br />
The results of the study revealed that majority of the respondents were of young age, literate,<br />
belonged to forward caste, had a medium level of experience and took up farming as a sole occupation on 1-<br />
2 hectares of land, belonged to nucleus family with size upto 5 members, annual income of upto Rs.50,000/-<br />
and had medium level of extension contact. An overview of the findings indicated that 91.66 per cent and 93.33<br />
per cent of the respondents had medium to low levels of awareness and adoption respectively. Therefore, it<br />
stresses the need that the extension agency should gear up its various programmes to improve the adoption<br />
level of the cotton IPM practices. Social participation and extension contact were the positive and significant<br />
relationship with adoption of cotton IPM practices. Major reasons i.e., the lack of co-operation among the<br />
farmers to adopt IPM on a community basis, availability of treated seed in the market, non-availability of NPV,<br />
Bt., trichogramma cards, risk of the practice, availability of effective pesticides, time taking process to prepare<br />
5% Neem Seed Kernel Extract, difficulty of intercultivation with intercropping, lack of interest were quoted by<br />
70 to 93.33 per cent of farmers for non-adoption of IPM practices in cotton.<br />
The study was conducted by using Ex-post-facto research design duly following the<br />
random sampling procedure in Geesugonda and Sangem mandals of Warangal district in<br />
Andhra Pradesh with a total of 60 respondents chosen from six selected villages viz., Ookal,<br />
e mail : genikala_siva @yahoo.co.in<br />
33
NARAYANA et.al.<br />
Geesugonda, Elukurthy, Chitalapalli, Katrapally and Gandhinagar. Data were collected with<br />
the help of pre-tested interview schedule. The scores were given to each practice like 1 and<br />
2 for non-adoption and adoption category respectively. Based on the total awareness and<br />
adoption scores obtained the respondents were grouped into three categories using arithmetic<br />
mean and standard deviation as low, medium and high.<br />
Eleven independent variables – age, education, caste, occupation, experience in<br />
farming, family type, family size, size of land holding, annual income, social participation<br />
and extension contact were selected for the study and their relationship with adoption were<br />
tested by using correlation coefficient analysis. The respondents were grouped into three<br />
categories based on the arithmetic mean and standard deviation as low, medium and high.<br />
RESULTS AND DISCUSSION<br />
The data presented in table 1, revealed that 85 per cent of the farmers cultivating<br />
cotton were young with age
AWARENESS AND ADOPTION OF COTTON<br />
destruction of grown up larvae. It was observed that less than 12% of the respondents<br />
adopted used Nucleo Polyhedrosis Virus (NPV) solution, followed acid delinting, used Bt.<br />
(Bacillus thuringiensis var kurstaki) formulation and trichogramma cards. The possible reason<br />
for adoption of all the practices could be observability, relative advantage, compatibility,<br />
divisibility and complexity..<br />
An analysis of the relationship between the profile of farmers and the adoption of<br />
Integrated Pest Management practices through correlation coefficients is presented in table<br />
4. The results showed that only 2 parameters- social participation and extension contacts<br />
had positive and significant correlations. This implies that awareness and adoption practices<br />
of integrated Pest Management in cotton can be motivated by encouraging the farmers in<br />
social participation and extension contact more frequently.<br />
The constraint analysis exhibited two major reasons i.e., the lack of co-operation<br />
among the farmers to adopt Integrated Pest Management on a community basis and availability<br />
of treated seed in the market (Table 5). The second order constraints expressed by 70<br />
to 86% of the farmers were non-availability of NPV, Bt., trichogramma cards, risk of the<br />
practice, availability of effective pesticides, time taking process to prepare 5% Neem seed<br />
kernel extract difficulty of intercultural operations with intercropping and lack of interest.<br />
In addition to the above, 36.67 to 63% of the farmers expressed the following reasons<br />
in the non-adoption of cotton Integrated Pest Management practices, viz., may not<br />
give quick result, not effective, high cost of the practice, require more labour, pest may<br />
increase and negligence/carelessness, lack of knowledge about benefit of the practice, less<br />
useful than pesticides, lack of confidence about the practices, yield reduction with intercropping,<br />
laborious process and lack of awareness. This result was similar to the findings reported<br />
by Anand Singh (1995) and Dharmindra Singh and Ravinder Kaur (2004). The constraints<br />
expressed for non-adoption of recommended cotton Integrated Pest Management<br />
practices should be taken care by the researchers and extension personnel to reorient their<br />
activities for higher adoption of recommended cotton Integrated Pest Management practices<br />
for maximum production.<br />
35
NARAYANA et.al.<br />
Table 1. Distribution of respondents according to their profile.<br />
(n = 60)<br />
Sl.No. Variable Category Frequency Percentage<br />
1. Age 55 years 2 3.33<br />
2. Illiterate 4 6.67<br />
Primary 19 31.67<br />
Education<br />
High school 23 38.33<br />
Intermediate 13 21.67<br />
Graduate 1 1.66<br />
3. Caste SC/ST 2 3.33<br />
BC 19 31.67<br />
FC 39 65.00<br />
4. Farming 53 88.33<br />
Occupation<br />
Farming + Agrl. Labour - -<br />
Farming + Caste occupation 1 1.67<br />
Farming + Business 4 6.67<br />
Farming + Service 2 3.33<br />
5. Experience in Low 12 20.00<br />
farming Medium 35 58.33<br />
High 13 21.67<br />
6. Family type Nuclear 43 71.67<br />
Joint 17 28.33<br />
7. Family size Upto 5 42 70.00<br />
>5 18 30.00<br />
8. Size of land holding < 1 ha. 15 25.00<br />
1 – 2 ha. 45 75.00<br />
> 2 ha. - -<br />
9. Annual income Upto 50,000/- 43 71.67<br />
50001 – 1,00,000/- 17 28.33<br />
> 1,00,000/- - -<br />
36
AWARENESS AND ADOPTION OF COTTON<br />
1 2 3 4 5<br />
10. Social participation No membership 46 76.67<br />
Membership in > one 14 23.33<br />
organization<br />
11. Extension contact Low - -<br />
Medium 51 85.00<br />
High 9 15.00<br />
Table 2. Distribution of respondents based on their awareness and adoption scores<br />
on cotton IPM Practices<br />
(n = 60)<br />
S.No.<br />
Category<br />
Awareness<br />
Adoption<br />
Frequency Percentage Frequency Percentage<br />
1. Low 8 13.33 5 8.33<br />
2. Medium 47 78.33 51 85.00<br />
3. High 5 8.33 4 6.67<br />
Table 3. Extent of adoption of recommended IPM practices on cotton<br />
S.No.<br />
Practice<br />
Respondents (n=60)<br />
Adopted<br />
Not adopted<br />
Frequency Percentage Frequency Percentage<br />
1. Removal and burning of 52 86.67 8 13.33<br />
previous crop stubbles<br />
2. Summer ploughing 54 9.00 6 10.00<br />
3. Crop rotation 44 73.33 16 26.67<br />
4. Application of organic manures 50 83.33 10 16.67<br />
5. Acid delinting 3 5.00 57 95.00<br />
6. Seed treatment 14 23.33 46 76.67<br />
7. Growing of guard crops 16 26.67 44 73.33<br />
8. Growing of inter crops 18 30.00 42 70.00<br />
9. Growing of trap crops 45 75.00 15 25.00<br />
10. Stem application of Mono- 15 25.00 45 75.00<br />
crotophos<br />
37
NARAYANA et.al.<br />
1 2 3 4 5 6<br />
11. Using pheromone traps 16 26.67 44 73.33<br />
12. Using yellow traps 12 20.00 48 80.00<br />
13. Using light traps 32 53.33 28 46.67<br />
14. Topping 47 78.33 13 21.67<br />
15. Using bird perches 21 35.00 39 65.00<br />
16. Using 5% Neem Seed Kernel 19 31.67 41 68.33<br />
Extract<br />
17. Using NPV solution 7 11.67 53 88.33<br />
18. Using Bt. Bacillus thuringiensis 4 6.67 56 93.33<br />
var kurstaki<br />
19. Using trichogramma cards 4 6.67 56 93.33<br />
20. Collection and destruction of 26 43.33 34 56.67<br />
grown up larvae<br />
21. Poison baiting for Spodoptera 37 61.67 23 38.33<br />
22. Need based plant protection 18 30.00 42 70.00<br />
measures<br />
Table 4. Relationship between adoption and profile of the respondents<br />
Sl.No. Independent Variable 'r' value<br />
1. Age - 0.200<br />
2. Education 0.240<br />
3. Caste - 0.090<br />
4. Occupation 0.176<br />
5. Experience in farming 0.178<br />
6. Family type 0.144<br />
7. Family size 0.163<br />
8. Size of land holding 0.090<br />
9. Annual income - 0.070<br />
10. Social participation 0.307 *<br />
11. Extension contact 0.357**<br />
38
AWARENESS AND ADOPTION OF COTTON<br />
Table 5. Reasons for non-adoption of recommended cotton IPM practices<br />
Sl.No. Constraint Frequency Percentage<br />
1. Risk of the practice 47 78.33<br />
2. Lack of knowledge about benefit of the practice 28 46.67<br />
3. Non-availability of Nucleo Polyhedrosis Virus 52 86.67<br />
(NPV), Bacillus thuringiensis var kurstaki (Bt.),<br />
Trichogramma cards<br />
4. Not effective 38 63.33<br />
5. Difficulty of intercultural operations with 44 73.33<br />
intercropping<br />
6. Laborious process 23 38.33<br />
7. Lack of awareness 22 36.67<br />
8. IPM practices are less useful than pesticides 28 46.67<br />
9. High cost of the practice 34 56.67<br />
10. Lack of interest 43 71.67<br />
11. Negligence/carelessness 30 50.00<br />
12. Lack of confidence about the practices 26 43.33<br />
13. Pest may increase 32 53.33<br />
14. May not give quick result 38 63.33<br />
15. Availability of effective pesticides 47 78.33<br />
16. Needs community approach 56 93.33<br />
17. Require more labour 33 55.00<br />
18. Time taking process to prepare 5% Neem 45 75.00<br />
Seed Kernel Extract<br />
19. Availability of treated seed in the market 54 90.00<br />
20. Yield reduction with intercropping 26 43.33<br />
39
NARAYANA et.al.<br />
REFERENCES<br />
Anand Singh, K. 1995. Analysis of farmers constraints in cotton production. Maharashtra<br />
journal of Extension Education. XIV : 111 – 116.<br />
Agricultural statistics at a glance, 1997. Directorate of Economics and statistics, Ministry of<br />
Agriculture, Government of India. pp.148.<br />
Dharmindra Singh and Ravinder Kaur, 2004. Knowledge level of the cotton growers regarding<br />
IPM practices. Journal of Extension Education. 15 (2&3) : 3611 – 3618.<br />
40
J.Res. ANGRAU 36(4)41-48, 2008<br />
ZONATION OF RABI SORGHUM (Sorghum bicolor L. Moench) AREA<br />
OF MAHARASHTRA ON THE BASIS OF POTENTIAL YIELD<br />
V. Ravi Kumar, S. R. Kumar and M. Anji Reddy<br />
National Research Centre for Sorghum, Rajendranagar, Hyderabad - 500 030<br />
ABSTRACT<br />
Cluster analysis for rabi sorghum grain yield of similar pattern of years in 22 out of 34 districts of<br />
Maharashtra was carried out from the yield levels of 25 years from 1980 to 2004 by following Ward’s minimum<br />
variance method. Three clusters were identified. The most consistent production level was represented by<br />
cluster-2 for 14 out of 25 years. A total of three zones were identified through the cluster-2 representing mean<br />
yield levels of Zone 1 as low i.e., less than 550 kg ha -1 , Zone 2 as medium with yield ranging from 550 to 1000<br />
kg ha -1 and Zone 3 as high with yield more than 1000 kg ha -1 . A dendrogram was prepared and coherent yield<br />
zones were identified. The map depicts the districts Ahmednagar, Pune and Solapur in Zone 1A, and Bhandara,<br />
Chandrapur, Gadchiroli, Nagpur and Wardha in Zone 1B. Contiguous blocks of districts comprising of Dhule,<br />
Nashik, Aurangabad, Bid and Buldana are termed as Zone 2A, two districts Satara and Sangli as Zone 2B. The<br />
districts under Maratwada region, Jalna, Parbhani, Nanded, Latur and Osmanabad are demarcated as Zone<br />
2C. The most potential zone was 3A with yield >1000 kg ha -1 consisted of two districts Jalgaon and Kolhapur.<br />
In India, rabi sorghum is predominantly grown on residual soil moisture in the medium<br />
to deep vertisols in Deccan plateau regions of Maharashtra, Karnataka and Andhra Pradesh.<br />
There is a regional imbalance in the productivity of the crop owing to highly variable edaphic<br />
and climatic conditions vis-à-vis the cultivation practices adopted by the farmers. This provides<br />
an opportunity to cluster homogenous areas like districts within a state to identify the<br />
production constraints. The formations of coherent zones are also useful in regional yield<br />
forecasting. Several approaches have been adopted to classify regions of similar ecology,<br />
rainfall pattern, moisture regime and yield etc. The most prominent approaches are based on<br />
geographical and physiographic features (Anonymous, 1998) or climatic conditions<br />
(Thornthwaite, 1948) and were based on GIS, remote sensing and empirical approach.<br />
A scientifically appropriate statistical approach (Hierarchical clustering) was applied<br />
for the first time for classifying districts of Uttar Pradesh on the basis of variability in wheat<br />
yields by Nain et al. (2002). In the context of regional yield forecasting, the utility of this<br />
approach increases as within a zone the crop yields behave in similar manner. This approach<br />
forms basis for not only avoiding lengthy process of validation of simulation model, collection<br />
of weather data and other inputs for each district, but also save money and time.<br />
e-mail : vemularavi@gmail.com<br />
41
KUMAR et.al.<br />
MATERIALS AND METHODS<br />
The data on mean rabi sorghum yield from the most predominant 22 out of 34 districts<br />
in Maharashtra were gathered for the past 25 years from 1980 – 2004. Data were collected<br />
from the web-site http://agri.mah.nic.in/agri/stat for area, production and yield. Cluster analysis<br />
was carried out using Ward’s Minimum Variance Method by SYSTAT 9.0 statistical software.<br />
The spatial variations among the regions can be readily studied by applying the<br />
procedures of cluster analysis. Suppose there are ‘m’ regions to be classified. Corresponding<br />
to the i th region, let X i<br />
be the observational vector consisting of k variables (i=1,…m). These<br />
variables represent characters such as monthly rainfall, proportion of area under crops and<br />
the productivity of crops. The data on the m-regions provide estimate of the covariance<br />
matrix of the variables. From this matrix, regions can be clustered on the basis of either the<br />
principal component scores in the multi-dimensional plane or the inter-region squared<br />
standardized distances d 2 (ij) (i#j= 1,.., m).<br />
Among the various clustering methods, those based on Principal Component scores<br />
(Ordination Techniques) fail to identify the closer regions than the distant ones (Rohlf, 1970).<br />
The procedures developed under Hierarchical approach are less subjective and the clusters<br />
can be readily studied through the tree diagram, known as the dendogram. The clustering<br />
methods categorized under this approach such as the average linkage method or a more<br />
precise to it, the Ward’s Minimum Variance method can be applied.<br />
In Ward’s Minimum Variance and hierarchical methods, the regions are classified on<br />
the basis of a criterion assumed to measure the similarity between the regions. A comparison<br />
of such similarity coefficients among the pairs of regions finally leads to a tree diagram,<br />
known as the Dendrogram, which helps in identifying the clusters.<br />
RESULTS AND DISCUSSION<br />
The results showed that, cluster 2 represented a high consistency in yield for 14 out<br />
of 25 years. This was true for all the 22 districts studied. Cluster 1 had a low consistency,<br />
the mean yield represented only 1/3 of the total period of 25 years. Cluster 3 was highly<br />
inconsistent representing only 1/8 th of the total number of years (Table 1). Therefore, cluster<br />
2 was chosen for further analysis into zones of similar yield pattern. It was observed that<br />
there were 3 distinct zones (Fig. 2).<br />
A total of 8 districts viz., Ahmadnagar, Bhandara, Chandrapur, Gadchiroli, Nagpur,<br />
Pune, Solapur and Wardha were characterized in Zone 1. The yield level was less than 550<br />
kg ha -1 . But, a majority of 12 districts viz. Aurangabad, Buldhana, Bid, Dhule, Jalna, Latur,<br />
Nanded, Nasik, Osmanabad, Parbhani, Sangli and Satara in Zone 2 produced moderate<br />
42
ZONATION OF RABI SORGHUM<br />
yield of 550 – 1000 kg ha -1 . Nonetheless, two districts Jalgaon in extreme North and Kolhapur<br />
in South were the most potential and were characterized as Zone 3. The yield exceeded<br />
1000 kg ha -1 in this zone.<br />
Spatially contiguous districts in each zone obtained through the dendrogram in Fig.1<br />
are displayed in the map (Fig. 3). The dendrogram characterized Nagpur, Solapur and Pune<br />
as one group while Bhandra, Gadchiroli, Wardha, Chandrapur, and Ahmadnagar formed another<br />
group within Zone 1. But, considering the coherent level of production, Ahmadnagar, Pune<br />
and Solapur districts of Western Maharashtra region was a contiguous block termed as<br />
Zone-1A with a mean yield of 450 kg ha -1 while districts Bhandara, Chandrapur, Gadchiroli,<br />
Nagpur, and Wardha of Vidharbha region formed Zone-1B which had a relatively better average<br />
yield of 500 kg ha -1 .<br />
Zone-2A on the basis of geographical location with a mean yield of 550 kg ha -1 was<br />
in Dhule and Nashik districts of Western Maharashtra, Aurangabad and Bid of Marthwada<br />
and Buldana of vidharbha regions respectively. The districts of Satara and Sangli were<br />
designated as Zone-2B with a mean yield of 600 kg ha -1 . A still high yield of 650 kg ha -1 was<br />
represented by the contiguous block comprising of five districts Jalna, Parbhani, Nanded,<br />
Latur, and Osmanabad in the Marathwada region classified as Zone-2C.<br />
The most potent region with a mean yield of 1093 kg ha -1 identified was Zone-3A in<br />
the exterior parts of Maharashtra, i.e. Jalgaon in the North and Kolhapur in the South.<br />
Comparison of yield estimation zones with the regional boundaries and NARP zones<br />
is furnished in Table 2. The characterization of zones on the basis of grain production per<br />
unit area delineate, the agro-ecological blocks of similar yield levels to forecast the yield<br />
trends from different regions and also to identify the technological interventions to be prioritized.<br />
Table 1. Clusters on basis of years of similar yield pattern<br />
Name Cluster 1 Cluster 2 Cluster 3<br />
(8 Years) (14 Years) (3 Years)<br />
Ahmadnagar 307* 423* 317*<br />
Aurangabad 329* 645* 508*<br />
Bhandara 461* 387* 402*<br />
Buldhana 481* 623* 390*<br />
Bid 449* 635* 617*<br />
43
KUMAR et.al.<br />
1 2 3 4<br />
Chandrapur 430* 407* 334*<br />
Dhule 596* 812* 1255*<br />
Gadchiroli 403* 395* 340*<br />
Jalgaon 888* 1209* 1380*<br />
Jalna 516* 729* 579*<br />
Kolhapur 540* 1241* 1607*<br />
Latur 440* 690* 422*<br />
Nagpur 405* 462* 166*<br />
Nanded 544* 811* 808*<br />
Nashik 336* 583* 540*<br />
Osmanabad 420* 705* 289*<br />
Parbhani 504* 711* 452*<br />
Pune 411* 496* 412*<br />
Sangli 345* 556* 447*<br />
Satara 661* 745* 694*<br />
Solapur 301* 481* 235*<br />
Wardha 434* 407* 272*<br />
* Average yield of rabi sorghum for respective years<br />
Table 2. Comparison of identified coherent zones to region and ICAR N.A.R.P zones<br />
Sl.No. Name Average Zone Region N.A.R.P.<br />
grain<br />
yield(kg ha -1 )<br />
1 Ahmadnagar 373 1A W 6<br />
2 Pune 459 1A W 4-5-6<br />
3 Solapur 394 1A W 6<br />
4 Bhandara 412 1B V 9<br />
44
ZONATION OF RABI SORGHUM<br />
1 2 3 4 5 6<br />
5 Chandrapur 406 1B V 8-9<br />
6 Gadchiroli 391 1B V 9<br />
7 Nagpur 429 1B V 8<br />
8 Wardha 410 1B V 8<br />
9 Aurangabad 528 2A M 6-7<br />
10 Buldhana 553 2A V 7<br />
11 Bid 573 2A M 6-7<br />
12 Dhule 796 2A W 5-6<br />
13 Nashik 499 2A W 4-5-6<br />
14 Sangli 476 2B W 5-6<br />
15 Satara 712 2B W 5-6<br />
16 Jalna 648 2C M 7<br />
17 Latur 584 2C M 7<br />
18 Nanded 725 2C M 7-8<br />
19 Osmanabad 564 2C M 6-7<br />
20 Parbhani 614 2C M 7-8<br />
21 Jalgaon 1127 3A W 7<br />
22 Kolhapur 1060 3A W 4<br />
REGION: W – Western Maharashtra, V – Vidharbha, and M – Marthwada.<br />
AGRO – CLIMATIC ZONES AS PER N.A.R.P - 4: Transition Zone – I, 5: Transition<br />
Zone – II, 6: Scarcity Zone, 7: Assured Rainfall Zone, 8: Moderate to Moderately<br />
High Rainfall Zone, and 9: High Rainfall Zone with Soils formed from Rocks of<br />
mixed origin.<br />
45
KUMAR et.al.<br />
0 5 10 15 20 25<br />
Fig. 1. Dendrogram of inter-district distances of districts in Maharashtra<br />
46
ZONATION OF RABI SORGHUM<br />
Fig. 2. Rabi sorghum yield variability zones of Maharashtra<br />
Fig. 3. Coherent rabi sorghum yield variability zones of Maharashtra<br />
47
KUMAR et.al.<br />
REFERENCES<br />
Anonymous, 1998. Agro-climate Regional Planning – Recent developments. Working Paper<br />
No. 10, ARPU, Ahmedabad. pp. 220.<br />
Rohlf, F.J. 1970. Adaptive hierarchical clustering schemes. Systematic zoology 18:58-82.<br />
Nain, A.S., Dadhwal, V.K., Sehgal, V.K., Vyas, S.P. and Parihar, J.S. 2002. Wheat yield<br />
forecast in Uttar Pradesh using crop simulation models. Scientific Note. RSAM/SAC/<br />
FASAL-TD/SN/15/2002. Space Applications Centre, ISRO, Ahmedaabd. pp. 75.<br />
Thorthwaite, C.W. 1948. An approach toward a rational classification of climate. Georgr.<br />
Rev. 38:55-94.<br />
48
Research Note<br />
J.Res. ANGRAU 36(4)49-53, 2008<br />
TRANSIENT GUS GENE EXPRESSION IN SAFFLOWER (Carthamus<br />
tinctorius L.) USING PARTICLE BOMBARDMENT<br />
B. JYOTHI, N. A ANSARI and M. SUJATHA<br />
Department of Genetics and Plant Breeding, College of Agriculture,<br />
ANGRAU, Rajendranagar, Hyderabad - 500 030<br />
Genetic improvement of safflower is complicated. It involves simultaneous<br />
improvement of both seed yield and oil content. Recent advances in biotechnology made it<br />
possible to develop superior safflower genotypes through the application of classical breeding<br />
techniques together with tissue culture and modern biotechnology tools. Conventional breeding<br />
helped in developing several elite cultivars, while in-vitro technology served as an alternate<br />
means for further genetic improvement. The successful methods of plant transformation are<br />
Agrobacterium mediated gene transfer and Biolistics among others (Poulsen, 1996). The<br />
ability to deliver foreign DNA directly into regenerable cells, tissues or organs appear to<br />
provide the best method at present to achieve truly genotype independent transformation in<br />
many agronomic crops, bypassing Agrobacterium host specificity and tissue culture related<br />
regeneration difficulties. Microprojectile bombardment (Sanford, 1998) employs high velocity<br />
metal particles to deliver biologically active DNA into plant cells. Presence of foreign DNA in<br />
plant tissues is known by including a reporter gene expressing protein that can be conveniently<br />
assayed. The µid gene (Gus gene) of Escherchia coli coding for ß-glucuronidase (Jefferson<br />
et al., 1987) is the most widely used reporter gene in plants. Hence, this experiment was<br />
conducted to study the transient Gus gene expression in mature embryos, different seedling<br />
explants and calli derived from them of selected safflower genotypes using histochemical<br />
assay.<br />
The material for the present investigation was procured from Directorate of Oil Seeds<br />
Research, Rajendranagar, Hyderabad. Four week callus derived from mature embryos and<br />
four direct explants were placed on the osmoticum medium four hours before and after<br />
bombardment to increase the efficiency of transformation. (Vain et al., 1993). Gene Pro<br />
2000 He provides an inexpensive simple to operate and locally built device for particle<br />
bombardment of cells for the transfer of selected DNA into a variety of target tissues. Tungsten<br />
stock suspension was prepared after sterilizing tungsten particles in ethanol. 50 ml of tungsten,<br />
10 µl of CaCl 2<br />
and 20 µl of 100 ml spermidine were mixed and placed at 4 0 C. After 5 minutes,<br />
100 µl of supernatant was removed and discarded. For bombardment, micro centrifuge tube<br />
e-mail : jyothi_rishik@yahoo.com<br />
49
JYOTHI et.al.<br />
containing plasmid /DNA mixture was aliquoted onto the screen in the filter holder. Plant<br />
tissue in petri plates along with baffle was placed on the adjustable tray at distance of 15 cm<br />
from the screen. A vacuum of 550 mm Hg was applied and the particles were discharged<br />
when the He gas was released following activation of the solenoid by the timer relay button.<br />
Histochemical assay was done to detect the integration of the reporter gene (Gus gene) into<br />
the target tissue. Four hours after bombardment, the plant tissue was incubated in X-gluc<br />
solution at 37 0 C overnight and ß-glucuronidase activity was determined microscopically.<br />
Microphotographs of the results were taken.<br />
The Gus expression was highly variable among different explants and genotypes of<br />
safflower. The expression was 100% in mature embryos and cotyledonary leaves of two<br />
genotypes Bhima and A-1. The expression of this gene was 80.0 and 85.71 % in the hypocotyls<br />
of the corresponding genotypes. This transient expression was superior even to the mature<br />
embryos of the genotype JSI-7 which expressed 66.67% transformation. The expression of<br />
Gus was 88.89% in the mature embryos of Co-1. The cotyledonary leaf of this genotype also<br />
had a high expression of 80.0% compared to the mature embryo of JSI-7. The hypocotyls of<br />
Co-1 and roots of Bhima, A-1 and JSI-7 recorded less expression of Gus compared to other<br />
explants of the respective genotypes. The callus derived from mature embryos of Bhima<br />
and A-1 genotypes of safflower recorded high expression of Gus to the extent of 90.0 and<br />
93.54% than from the other explants.<br />
The callus derived from the cotyledonary leaves of Co-1 exhibited a high expression<br />
of 92.31% than others. This was higher than the direct explants of this genotype. The callus<br />
derived from the roots of JSI-7 had Gus expression of 66.67%. This was as high as the<br />
direct explant of mature embryo and higher than others. Rohini and Rao (2000), employed<br />
embryo axes of safflower cultivars A-1 and A-300 for Agrobacterium mediated transformation<br />
and obtained a transformation frequency of 5.3 % in A-1 and 1.3 % in A-300 following<br />
histochemical assay and screening using southern blotting. An ideal target for particle<br />
bombardment for production of transgenic plants should be capable of integrating introduced<br />
DNA and regenerating intact plants. Particle bombardment of zygotic embryo has been used<br />
as transformation system in cotton (Banerjee et al., 2002) and maize (Kennedy et al.,<br />
2001). Zygotic embryos were used in Agrobacterium mediated transformation of maize (Frame<br />
et al., 2002), Carica papaya (Azad and Rabbani, 2005) and cotton (Banerjee et al., 2002).<br />
The suitability of zygotic embryos for particle bombardment was earlier reported by Lappara<br />
et al., (1995). Aulinger et al., (2003) reported that in maize zygotic embryos were more<br />
efficient for transformation than gametic embryos though the latter can be more potentially<br />
transformed than the former.<br />
50
TRANSIENT GUS GENE EXPRESSION IN SAFFLOWER<br />
Ying et al., (1992) reported that direct shoot regeneration from leaf tissue of safflower may<br />
be a useful alternative to regeneration from callus. Directly regenerated transgenic shoots<br />
would retain the desirable agronomic traits of the starting material and thus eliminate the<br />
necessity of extensive backcrossing after introducing novel genes. The results in the present<br />
investigation suggest that mature embryos are more suited as target tissue for particle<br />
bombardment as they can be cultured in-vitro for direct morphogenesis without callus phase<br />
and somaclonal variation associated with callus cultures could be avoided.<br />
Table 1. Transient Gus expression (%) of different explants mature embryo, root, hypocotyl<br />
and cotyledonary leaf of the four safflower genotypes.<br />
Explant Bhima CO-1 A-1 JSI-7 Mean<br />
Mature embryo 100.00 88.89 100.00 66.67 88.89<br />
Root 77.78 62.50 57.14 28.57 56.49<br />
Hypocotyl 80.00 40.00 85.71 57.14 65.71<br />
Cotyledonary leaf 100.00 80.00 100.00 55.56 83.89<br />
Mean 89.45 67.85 85.71 51.99 73.75<br />
Table 2. Transient Gus expression (%) of callus derived from different explants mature<br />
embryo, root, hypocotyl and cotyledonary leaf of the four safflower genotypes.<br />
Explant Bhima CO-1 A-1 JSI-7 Mean<br />
Mature embryo 90.00 69.23 93.54 59.16 77.98<br />
Root 76.92 61.54 75.00 66.67 70.03<br />
Hypocotyl 80.00 50.85 76.92 61.53 67.33<br />
Cotyledonary leaf 84.62 92.31 84.62 44.44 76.49<br />
Mean 82.89 68.48 82.52 57.95 72.90<br />
51
JYOTHI et.al.<br />
Plate 1 Microphotograph of mature embryo explant of Bhima showing Gus expression<br />
Plate 2 Microphotograph of callus derived from mature embryo of Bhima<br />
52
TRANSIENT GUS GENE EXPRESSION IN SAFFLOWER<br />
REFERENCES<br />
Aulinger, I.E., Peter, S.O., Schmid, I.E and Stamp, P. 2003. Gametic embryos of maize as<br />
a target for biolistic transformation: comparison to immature zygotic embryos. Plant<br />
Cell Reports. 21(6): 585-591<br />
Azad, M.A.K. and Rabbani, M. A. 2005. Genetic transformation of Carica papaya by infecting<br />
mature zygotic embryos with Agrobacterium tumefaciens strains LBA-4404.<br />
Biotechnology. 4 (3): 235-237<br />
Banarjee, A. K., Agarwal, D. C., Nalawade, S. M and Krishnamurthy, K. V. 2002. Transient<br />
expression of beta-glucuronidase in embryo axes of cotton by Agrobacterium and<br />
particle bombardment methods. Biologia-Plantarum. 45 (3): 359-365<br />
Frame, B. R., Shou, H. X., Chikwamba, R. K., Zhang, Z.Y., Xiang, C. B., Fonger, T. M.,<br />
Pegg, S. E. K., Li, B. C., Nettleton, D. S., Pei, D. Q and Wang, K. 2002. Agrobacterium<br />
tumefaciens mediated transformation of maize embryos using a standard binary vector<br />
system. Plant Physiology. 129 (1): 13-22<br />
Jefferson, R. A., Kavanagh, T. A. and Bevan, M. V. 1987. Gus as sensitive and versatile<br />
fusion marker in higher plants. EMBO. 6: 3901-3907.<br />
Kennedy, O. M. M., Burger, J. T and Berger, D. K. 2001. Transformation of elite white maize<br />
using the particle inflow gun and detailed analysis of a low- copy integration event.<br />
Plant Cell Reports. 20 (8): 721-730<br />
Lappara, H., Burrus, M., Hunold, R., Damm, B., Bravo-Angel, A., Bronner, R and Hahne, G.<br />
1995. Expression pf foreign genes in sunflower (Helianthus annuus L.)- evaluation of<br />
three gene transfer methods. Euphytica. 85: 63-74<br />
Poulson, G.B. 1996. Genetic transformation of Brassica. Plant Breeding. 209-225. 115:<br />
Rohini, V.K and Rao, K.S. 2000. Embryo transformation, a practical approach for realizing<br />
transgenic plants of safflower (Carthamus tinctorius L.). Annals of Botany. 86 (5):<br />
1043-1049.<br />
Sanford, J.C. 1998. The biolistic process. Trends Biotechnolgy. 6: 299-302.<br />
Vain, P., Finer, J.J. and MC Mullen, M.D 1993. Osmotic treatment enhances particle<br />
bombardment –mediated transient and stable transformation of maize. Plant Cell<br />
Reports. 12: 84-88.<br />
Ying, M., Dyer, W.E and Bergman, J.W. 1992. Agrobacterium tumefaciens – mediated<br />
transformation of safflower (Carthamus tinctorius L.) cv. ‘Centennial’. Plant Cell<br />
Reports. 11: 581-585.<br />
53
Research Note<br />
J.Res. ANGRAU 36(4)54-56, 2008<br />
MEMBRANE THERMOSTABILITY TEST AS AN INDICATION OF HEAT<br />
TOLERANCE IN WHEAT (Triticum aestivum L. Em.Thell.)<br />
S. R. REDDY, A. K. CHHABRA, R. K. BEHL and N. P. E. REDDY<br />
Department of Plant Breeding<br />
CCS Haryana Agricultural University, Hisar – 125 004<br />
Wheat (Triticum aestivum) is one of the most important cereal crops of the world. In<br />
India, it is the second most important cereal after rice and grown under diverse agro-climatic<br />
conditions. Sometimes the crop is subjected to heat stress at maturity phase because of<br />
delayed sowing due to various reasons. To screen for the heat stress tolerant genotype,<br />
membrane thermo stability test was used. By using this method we can accurately decide<br />
which of the genotypes can tolerate heat stress based on the percentage of electrolyte<br />
leakage, which is an indication of tolerance or susceptibility index of genotype.<br />
The seed material of 5 wheat genotypes viz., PBW 452, RAJ 3765, LOK 45, PBW<br />
343, CBW 12 and their F 1<br />
s, F 2<br />
s, BC 1<br />
s as well as BC s were provided by the Department of<br />
2<br />
Plant Breeding. These generations were grown in the field under two dates of sowing on 25 th<br />
November to provide optimum environment and on 25 th December for heat stress environment<br />
during the winter season 2002.<br />
Flag leaf of parents and F 1<br />
progenies of five crosses viz., PBW 452 x RAJ 3765,<br />
PBW 452 × LOK 45, PBW 452× PBW 343, CBW12 × RAJ 3765 and CBW 12× LOK 45 were<br />
used for membrane thermostability test. Three flag leaf samples of each parent as well as<br />
their F 1<br />
s were taken at the time of anthesis to conduct the test. Ten cm part of each flag leaf<br />
was taken and its midrib was removed and leaf was cut into two equal halves length wise.<br />
Each half was further cut in to two pieces, one piece for use as control and the other for<br />
giving the treatment. The leaf pieces were washed with distilled water and put into thoroughly<br />
washed glass test tubes. The mouth of test tubes were covered with sarren wrap and incubated<br />
in the water bath at 52 0 C for 15 minutes. It was ensured that the test tubes were completely<br />
dipped in to the water. After the treatment was over, 10 ml of distilled water was added to<br />
each test tube including controlled one. Then all the test tubes were held at 10 0 C over night<br />
to allow diffusion of electrolytes from plant material to water. The electrical conductivity (EC)<br />
of control and treated test tubes was recorded. The test tubes were then autoclaved at 15<br />
e mail : ramanareddysiddu@gmail.com<br />
54
MEMBRANE THERMOSTABILITY TEST<br />
PSI pressure for 2 minutes to allow complete electrolyte leakage. Test tubes were cooled at<br />
room temperature and final EC was recorded. The membrane thermostability expressed as<br />
relative injury was calculated using the formula given by Blum (1998).<br />
Relative Injury (%) = 1-[{1-(T 1<br />
/T 2<br />
)}/ {1-(C 1<br />
/C 2<br />
)}] x 100<br />
Where, T and C refer to conductance values for treated and control test tubes, respectively<br />
and the subscripts 1 and 2 refer to initial and final conductance readings, T 1<br />
represents the<br />
leachate due to treatment which is the cellular response to the stress treatment and T 2<br />
represents total leachates in cells whose membranes are challenged. Proportion of T 1<br />
and T 2<br />
provide an index of membrane thermostability.<br />
The results showed that the relative injury of five female parents ranged from 32.13<br />
to 33.10%. The male parents were more susceptible to the heat stress. The parent PBW 343<br />
was most susceptible (Table 1). The relative injury was 50%. The hybrid obtained by crossing<br />
this parent with PBW 452 was most vulnerable with 40.5% relative injury. High temperature<br />
disrupts cell membranes (Ibrahim and Quick, 2001) and leads to temperature induced leakage<br />
of ions as indicated by the electrical conductivity measurements. It has previously been<br />
observed that heat tolerance correlates well with the tolerance for stress and other plant<br />
physiological functions (Blum, 1988; Premchandra et al., 1989 and Deshmukh et al., 1991).<br />
Heat stress leads to increased leakage due to transition in membrane lipid phase. Heat<br />
treatment of 49ºC in winter wheat exhibited greater relative injury as compared to heat shock<br />
treatment at 48ºC (Saadalla et al., 1990). Electrolyte leakage has also been reported to be a<br />
good index of heat stress tolerance character in pear (Wu and Stephen, 1983). Among the<br />
five crosses PBW 452 X LOK 45 was the most heat tolerant with relative injury of 26.26%<br />
which was less severe than either of the parents (Table1). The two parents involved in this<br />
cross were also tolerant to heat stress as they had lower injury levels compared to other<br />
parents. This phenomenon is generally controlled by genes. The crosses involving parents<br />
PBW 452, LOK 45 and RAJ 3765 performed relatively better under drought stress due to<br />
greater plasticity. It would therefore be logical to select transgressive segregants combining<br />
thermotolerance and per se performance in these crosses in early generations of F 2<br />
and F 3<br />
.<br />
These can be ultimately established into purelines, thermotolerant high yielding cultivars for<br />
terminal heat stress during grain formation stage.<br />
55
REDDY et.al.<br />
Table 1. Relative injury per plant as determined by the membrane thermostability<br />
in five wheat crosses<br />
Crosses P 1<br />
P 2<br />
F 1<br />
PBW 452 x RAJ 3765 32.13±0.01 37.34±0.21 31.93±0.29<br />
PBW452xLOK 45 32.13±0.01 37.94±0.13 26.26±0.14<br />
PBW452xPBW343 32.13±0.01 50.00±0.17 40.50±0.18<br />
CBW12xRAJ 3765 33.10±0.20 37.34±0.19 32.50±0.06<br />
CBW12xLOK 45 33.10±0.20 37.94±0.10 35.96±0.20<br />
P 1<br />
=Female parent, P 2<br />
=Male parent, F 1<br />
=Hybrid between P 1<br />
and P 2<br />
REFERENCES<br />
Blum, A. 1988. Plant breeding for stress environments (4 th ed.), CRS Press, Florida.pp.352<br />
Deshmukh, P.S., Sairam, R.K. and Sukha, D.S. 1991. Measurement of ion leakage as a<br />
screening technique for drought resistant in wheat genotypes. Indian Journal of Plant<br />
Physiology. 34 (1): 89-91.<br />
Ibrahim, A. M. H. and Quick, J. S. 2001. Genetic control of high temperature tolerance in<br />
wheat as measured by membrane thermostability. Crop Science. 41 (4): 1405-1407.<br />
Premchandra, G. S., Sameoka, H. and Ogata, S. 1989. Nutrio- physiological evaluation of<br />
the polyethylene glycol test of cell membrane stability in maize. Crop Science. 29 (5):<br />
1287-1292.<br />
Saadalla, M. M., Shanahan, J. F. and Quick, J.S.1990. Heat tolerance in winter wheat:<br />
I.Hardening and genetic effects on membrane thermostability. Crop Science. 30:1243-<br />
1247.<br />
Wu, M.T. and Stephen, J.W. 1983. Heat stress responses in cultured plant cells. Heat<br />
tolerance induced by shock vs elevated growing temperature. Plant Physiology. 72:<br />
817-820.<br />
56
Research Note<br />
J.Res. ANGRAU 36(4)57-60, 2008<br />
UTILIZATION OF HEALTH SERVICES AND IMMUNIZATIONAL<br />
STATUS OF GRAMASIRI FAMILIES<br />
V. SANTHI SRI KOTAMAMBA and P.YASHODA DEVI<br />
Department of Food and Nutrition,<br />
Post Graduate and Research Centre, ANGRAU,<br />
Rajendranagar, Hyderabad - 500 030<br />
Gramasiri is a voluntary organization working for the development of rural population<br />
in 36 villages of Bapatla and Karlapalem mandals. It is providing health benefits through<br />
organization of health camps, maternal and child health services. Utilization of health services<br />
is one of the important indicators to assess the impact of development programme. Hence<br />
this study was taken up.<br />
An impact analysis of Gramasiri adopted villages was made from 4 out of the 8<br />
villages in Bapatla. They were Nandirajuthota, Vengalvihar, Prabhavathi Nagar and Sivaram<br />
Nagar. This was compared with the maternal and child health programme in 4 villages-<br />
K.B.Palem, Gulam Hussain thota, Kotha palem and Mulapalem not adopted by Gramasiri.<br />
Assessment was made for the relative health service utilization and immunization status<br />
between the two groups through a structured and pretested schedule. Thirty families were<br />
selected at random from each village. One preschool child was selected from each of these<br />
families. Thus there were a total of 120 children from each group. The data collected was<br />
tabulated and statistically analyzed using Chi-square test.<br />
The outcome of health utilization services by the farmers of Gramasiri adopted and<br />
non-adopted villages is furnished in table 1. All the mothers sampled in Gramasiri villages<br />
received prenatal care unlike only 69.2% in the non-adopted villages. Prenatal care of mothers<br />
is essential for the development of child. This calls for awareness in the villages not adopted<br />
by this organization. The type of prenatal care received by mothers was wholistic. All the<br />
mothers took tablets of iron and folic acid, received T.T. injections and attended the periodical<br />
medical check ups. But the percentages of mothers receiving these prenatal care types<br />
were 68.3, 69.2 and 39.2 respectively in the non-adopted villages. The only source of these<br />
medical services was through the Gramasiri hospital health staff. The Government paramedical<br />
staff was the major source for 30 % of the mothers, private doctors for 23.3% and Government<br />
hospital for 15.83% of those in non-adopted villages. The village Dais were the prominent<br />
source for delivery of 55.8% mothers while 32.5% deliveries were done through private doctors.<br />
But 70.8% of mothers in Gramasiri villages approached the trained multipurpose health workers<br />
only 10.8% approached the village Dais. The source of medical service for child health care<br />
e-mail: santhi2020@rediffmail.com<br />
57
KOTAMAMBA and DEVI<br />
was in Gramasiri group largely through the Gramasiri hospital and trained multipurpose health<br />
workers (74.2%). But the medical service for child health care in non Grama siri group was<br />
by the Government hospital staff (53.3%) and by private doctors.(43.3%)<br />
The study indicated that the health seeking behaviour was better in Gramasiri<br />
families as evidenced by the prenatal care received by all the mothers. This improvement<br />
was due to the awareness and motivation created by the multi purpose health workers who<br />
stay in each village.<br />
Table 1. Utilization of health services for mother and child<br />
Treatments Gramasiri Non-Gramasiri<br />
No. % No. %<br />
1. Pre-natal care<br />
No. of mothers received 120 100 83 69.2<br />
No. of mothers not received 0 0 37 30.8<br />
2. Type of Pre-natal care received.<br />
Iron + folic acid tablets 120 100 82 68.3<br />
T.T. Injection 120 100 83 69.2<br />
Periodical medical check-ups 120 100 47 39.2<br />
3. Source of Medical service for pre-natal care<br />
Govt. Para Medical staff 0 0 36 30.0<br />
Gramasiri hospital health staff 120 100 0 0<br />
Private doctors 0 0 28 23.3<br />
Government hospital 0 0 19 15.8<br />
4. Agent at delivery<br />
Village Dai 13 10.8 67 55.8<br />
Nurse 0 0 14 11.7<br />
Trained Multipurpose health worker(M.H.W) 85 70.8 0 0<br />
Doctor 22 18.3 39 32.5<br />
5. Source of Medical service for child care<br />
Govt. hospital staff 0 0 64 53.3<br />
Private doctor 4 3.3 52 43.3<br />
Gramasiri hospital +M.H.W 89 74.2 0 0<br />
Govt.+ Private doctor 1 0.8 4 3.3<br />
Govt. doctor+ M.H.W. 7 5.8 0 0<br />
Private doctor+ M.H.W. 15 12.5 0 0<br />
GGov Govt. doctor + Primary Doctor + M.H.W 4 3.3 0 0<br />
58
UTILIZATION OF HEALTH SERVICES<br />
The age old saying, “Prevention is better than cure”- applies so very aptly to the<br />
immunization services. Immunization is another important service under Gramasiri<br />
programme, to safeguard the health of beneficiaries against vaccine preventable diseases<br />
Table 2. Extent of vaccines administered in preschool children<br />
Type of Gramasiri Non-Gramasiri Chi square<br />
Vaccine<br />
test value<br />
B.C.G 120 100 81 67.5<br />
D.P.T 120 100 96 80.0<br />
Polio 120 100 96 80.0<br />
Measles 98 81.7 39 32.5<br />
10.96*<br />
* Significant at 5 % level.<br />
The data on immunizational coverage of preschool children with vaccines is presented<br />
in table-2. All the children in Gramasiri villages were administered with BCG, DPT and Polio<br />
vaccines while 81.7% of them were administered with measles vaccine. This was mainly<br />
due to the door-to-door service by the staff. The extent of coverage was 67.5, 80.0 and 80.0<br />
% for with BCG, DPT and Polio while only 32.5 % children received the vaccines for measles<br />
in the non-adopted village. The irregular visits of Government paramedical staff in the villages<br />
to immunize the children on one hand and nonawareness of its benefits by the mothers were<br />
the main reasons for low coverage in non-Gramasiri villages. Better immunizational status of<br />
Gramasiri village children led to low infection rates and better nutritional status. The importance<br />
of lowering the rate of infection for better nutritional status has been emphasized by several<br />
research workers. (W.H.O, 1984; Mata, 1986; Koster et al, 1987; Nabarro, 1988; King &<br />
Bratt, 1988; Melville, et al. 1988 and Gracey, 1991.)<br />
REFERENCES<br />
Gracey, M .1991. Diarrhoea and Malnutrition. In. International Child Health. A Digest of<br />
Current information. An International Paediatric Association Publication in<br />
collaboration with UNICEF and W.H.O. pp 61-68.<br />
King, J and Bratt, D. 1988. Socio economic dietary and cultural factors associated with<br />
diarrhoeal diseases in Trinidad and Jabago. Journal of Tropical Paediatrics 34: pp<br />
104- 107.<br />
59
KOTAMAMBA and DEVI<br />
Koster, F. J., Palmer, D. L., Chakrabarthy, J., Jackson, and J. Curlin, G. C. 1987. Cellular<br />
Immuno Competence and Diarrhoeal morbidity in malnourished Bangladeshi children;<br />
A Prospective field study. American Journal of Clinical Nutrition. 46 (1) : pp 115-120.<br />
Mata, L. 1986. How harmful is diarrhoea? World Health Organization, Geneva.<br />
Melville, B., Williams, M., Prancis, U., Lawrence, D. and Lee Collins. 1988. Determinants<br />
of Childhood malnutrition in Jamaica. Food and Nutrition Bulletin 10: pp 43-47.<br />
Nabarro, D 1988. malnutrition and Infection. A deadly synergy. Courier, Belgium, No- 108. pp<br />
66-68.<br />
World Health Organization. 1984. Recent advances and researches on feeding during and<br />
after acute diarrhoea. Report of the scientific working group on drug development and<br />
management of acute diarrhoea.(CDD/D.D.M/85.2), Geneva.<br />
60
Research Note<br />
J.Res. ANGRAU 36(4)61-67, 2008<br />
HETEROSIS AND INBREEDING DEPRESSION IN RABI SORGHUM<br />
(Sorghum bicolor L. Moench)<br />
K. JHANSI RANI, S. S. RAO and M. GANESH<br />
Department of Genetics and Plant Breeding, College of Agriculture,<br />
ANGRAU, Rajendranagar, Hyderabad-500 030<br />
Sorghum is an important cereal crop cultivated for food and fodder .It is extensively<br />
grown in south Indian states of Karnataka, Maharashtra, Andhra Pradesh and Tamilnadu.<br />
Though rabi sorghum area has consistently remained same over the years , the productivity<br />
is much lower (640 kg/ha) than in kharif (1040 kg/ha). Lack of suitable hybrids to rabi<br />
situation is the major cause of low productivity. Though a couple of productive rabi hybrids<br />
have been released recently, there is need to improve the grain quality to gain the farmers<br />
acceptability. Drought tolerance under receding moisture and stability of yield should be<br />
enhanced to achieve high yield in rabi (Madhusudhana et al., 2003). The present investigation<br />
was aimed at assessing the level of heterosis for different characters accompanied by<br />
the reduction in vigour in F 2.<br />
. Ten F 1<br />
hybrids comprising five experimental hybrids viz., 104<br />
B x SPV 86, 104 B x swati, R 98-82 x SPV 86, R98-82 x R98-264 and R98-264 x SPV 86 and<br />
five commercial hybrids CSH 15R, CSH 19R, CSH 17, SPH 1026 and SPH 992 were evaluated,<br />
along with corresponding F 2<br />
progenies during rabi season of 2001-2002 at National<br />
Research Center for Sorghum, Rajendranagar, Hyderabad. The experiment was laid out in a<br />
randomized block design with three replications.<br />
Recommended package of practices were followed. Observations on morpho physiological<br />
characters and protein content were recorded on 5 and 40 randomly selected plants<br />
in F 1<br />
and F 2<br />
generations respectively. Leaf area index (LAI) was calculated as per the<br />
method of Stickler and Pauli (1961) and relative water content (RWC) was estimated by<br />
following Smart (1974). Protein content was estimated by multiplying nitrogen content of<br />
seed with 6.25 (AOAC, 1980). Heterobeltiosis and inbreeding depression were calculated<br />
following standard procedures. The results showed that the experimental and commercial<br />
hybrids recorded significant values for heterobeltiosis and inbreeding depression for grain<br />
yield per plant. The trends were also similar for fodder yield except that the inbreeding<br />
depression was not significant for only two hybrids viz.,104 B x SPV 86 and 104 B x Swati<br />
. Patel et al. (1983) and Reddy and Joshi (1993) also observed high heterobeltiosis and<br />
inbreeding depression for yield. Kulkarni et al. (1977) and Goyal and Joshi (1984) reported<br />
high variations in the magnitude of inbreeding depression for grain yield in sorghum in F 1<br />
, F 2<br />
e-mail: jhansisagar@yahoo.com<br />
61
RANI et.al.<br />
and F 3<br />
generations. The heterobeltiosis ranged from 47.3 to 78.2 % for grain yield and from<br />
11.7 to 38.9 % for fodder yield in experimental hybrids(Table1).It ranged from 19.2 to 81.6%<br />
for grain yield and from 24.6 to 66.1% for fodder yield in commercial hybrids( Table 2)<br />
.Hence there was scope to improve the production of both grain and fodder yield in rabi<br />
sorghum through heterosis breeding. Kaul and Rana (1997) also recorded high heterosis for<br />
grain yield up to 81% due to the breeding of rabi based CMS and restorer lines.<br />
Improvement in heterobeltiosis for grain yield is the cumulative effect of positive<br />
influence through different components of the crop. This effect was most prominent through<br />
plant height,days to 50% flowering ,number of primary branches per panicle and number of<br />
grains per panicle in the experimental hybrids. The heterobeltiosis was significant for all the<br />
characters except for plant height in 104 B x Swati ,days to 50% flowering and number of<br />
grains per primary branch in 104 B x SPV 86 and number of primary branches per panicle<br />
in R98-82 x SPV 86.The inbreeding depression was also significant in F 2<br />
for most of these<br />
hybrids. The heterobeltiosis for plant height and number of primary branches per panicle<br />
were significant in all the commercial hybrids. The heterobeltiosis and inbreeding depression<br />
were significant but negative for number of leaves per plant in all except CSH 19 R sorghum<br />
hybrid. Similarly, heterobeltiosis and inbreeding depression turned negative and significant<br />
for relative water content in four hybrids except SPH 1026.<br />
The per cent green leaves at maturity and relative water content in the leaves besides<br />
leaf area index and harvest index are the important physiological traits to impart drought<br />
tolerance in crops.(Rao et.al.,1998). Among the experimental hybrids positive and significant<br />
heterobeltiosis was recorded for all these parameters only in R98-82 x SPV 86.The<br />
heterobeltiosis was positive and significant for percent green leaves at maturity and harvest<br />
index in R 98-82 x R 98-264.Hence, the parental lines R 98-82 , R 98-264 and SPV 86 can<br />
be utilized to develop commercial hybrids to endure drought. On the other hand heterobeltiosis<br />
for most of these parameters was negative and significant in commercial hybrids. It may be<br />
attributed to the occurrence of transgressive segregants in the F 2<br />
population which leads to<br />
increased expression of the trait. Selection for desirable plants in the F 2<br />
may bring improvement<br />
in these traits. As grain yield and its important components are found to be governed<br />
by genes with both additive and non additive effects in these crosses, heterosis breeding<br />
can be successfully employed to achieve considerable improvement over existing hybrids.<br />
62
HETEROSIS AND INBREEDING DEPRESSION IN RABI SORGHUM<br />
Table1. Heterobeltiosis and inbreeding depression for grain yield and other characters of<br />
experimental hybrids of sorghum<br />
Character<br />
104 B x SPV 86 104 B x Swati R98-82 x SPV 86 R 98-82 x R 98-264 R 98-264 x SPV 86<br />
Heterobelt<br />
iosis<br />
Inbreeding<br />
depression<br />
Heterob<br />
eltiosis<br />
Inbreeding<br />
depression<br />
Heterob<br />
eltiosis<br />
Inbreeding<br />
depression<br />
Heterob<br />
eltiosis<br />
Inbreeding<br />
depression<br />
Heterob<br />
eltiosis<br />
Inbreeding<br />
depression<br />
Plant<br />
height(cm)<br />
10.5** 8.7* 2.9 13.6** 4.5** 23.3** 20.9** -1.4** 9.6** 4.6**<br />
Number of<br />
leaves per plant<br />
-4.6 -4.4 -8.1 16.1** -4.6 -1.6 -11.5** -10.4** 4.9 -3.2<br />
Leaf area index -8.9 -14.4** -4.1 6.3** 14.8* 1.7 29.0 -3.8 26.1** 28.2**<br />
Days to 50%<br />
flowering<br />
0.5 0.9* 6.1** -2.7** 4.5** 3.9** 20.9** 10.0** 1.8* -7.5**<br />
Per cent green<br />
leaves at<br />
maturity<br />
10.9 -8.2** 21.2* -32.2** 60.4** 21.1* 36.0** -24.0 15.3 34.1**<br />
Dry weight of<br />
stem at<br />
flowering(g)<br />
14.2** 8.0** 0.4 17.4** 46.9** 19.7** 3.2 -5.4** 17.5** 6.9**<br />
Relative water<br />
content(%)<br />
-22.6 -9.4** -6.6 32.2 14.2** -30.6** -4.0 -3.9 -5.9 -20.7**<br />
Panicle<br />
length(cm)<br />
11.8** 18.2** 1.3 2.4 -2.6 4.9** 3.2 -2.6 3.3 9.3**<br />
Panicle<br />
width(cm)<br />
15.4** -1.9 22.94* 6.1** -25.4** -13.9** 2.1 5.6** 8.3* 11.5**<br />
Number of<br />
primary<br />
branches /<br />
panicle<br />
12.5** 8.7** 21.7** 15.3** 4.0 14.3** 15.3** 13.2** 58.5* 33.0<br />
Number of<br />
grains/primary<br />
branch<br />
6.6 4.1* 16.6* 13.4** 25.9* 27.7** 11.3** 30.5** 33.6* 39.4**<br />
63
RANI et.al.<br />
1 2 3 4 5 6 7 8 9 10 11<br />
100 grain<br />
weight(g)<br />
-1.3 4.6** -1.2 1.7 -1.7 9.2** 13.7** 3.8** 2.2 6.4**<br />
Grain yield /<br />
plant(g)<br />
48.8** 32.3** 78.2** 31.4** 47.3* 34.8** 49.2** 29.7** 47.5** 21.4**<br />
Fodder yield /<br />
plant(g)<br />
11.7** 19.3** 14.0** 14.2* 38.9** 20.2** 34.5** 8.7** 38.2** 19.3**<br />
Harvest<br />
index(%)<br />
1.3 6.7** 0.3 4.6** 3.2** 3.4** 5.3** 13.6** 2.7 1.0<br />
Protein (%) -7.3** 5.8** 1.9 1.2 2.1 -1.4 6.7** 8.5** -2.5 4.1**<br />
64
HETEROSIS AND INBREEDING DEPRESSION IN RABI SORGHUM<br />
Table 2. Heterobeltiosis and inbreeding depression for grain yield and other characters of commercial hybrids of<br />
sorghum<br />
Character<br />
SPH 992 SPH 1026 CSH 15 R CSH 17 CSH 19 R<br />
Heterobe<br />
ltiosis<br />
Inbreedin<br />
depression<br />
Heterob<br />
eltiosis<br />
Inbreeding<br />
depression<br />
Heterob<br />
eltiosis<br />
Inbreeding<br />
depression<br />
Heterobel<br />
tiosis<br />
nbreeding<br />
depression<br />
Heterob<br />
eltiosis<br />
Inbreeding<br />
depression<br />
Plant height(cm) 21.3** 18.0* 33.9** 26.3 34.3** 13.6* 41.9* 9.9 31.3* 15.1**<br />
Number of<br />
leaves per plant<br />
-30.0** -27.6** -30.0** -27.6** -17.9** -21.7** -14.0** -34.0** 8.3 0.91<br />
Leaf area index -30.0** -25.7 -30.0** -25.7 6.1 11.9 29.0 -42.5 -14.6 2.1<br />
Days to 50%<br />
flowering<br />
0.47 -24.2 11.0** 3.7** 1.43 7.51** 21.3** 8.6**<br />
-2.7 -13.0*<br />
Per cent green<br />
leaves at<br />
maturity<br />
-27.7** -25.7** -13.6* 10.8* -44.6* -12.3** -6.3 31.3** -3.2 25.0**<br />
Dry weight of<br />
stem at<br />
flowering(g)<br />
83.3** 36.1** 56.9** 41.8** 16.4** 36.4** 11.0 44.0** 1.4 31.6**<br />
Relative water<br />
content(%)<br />
-29.9** -19.4** 6.4 6.3 -13.7** -0.5 -11.6**<br />
22.9** -30.6** -30.4**<br />
Panicle<br />
length(cm)<br />
-6.1 -1.5 26.9** 11.9** 16.8** 9.9** 17.6** 22.6** 7.3 12.9**<br />
65
RANI et.al.<br />
1 2 3 4 5 6 7 8 9 10 11<br />
Panicle<br />
width(cm)<br />
16.0** -3.3 12.4* -20.6* 1.92 37.2** -9.6 -13.7 29.9 -14.4<br />
Number of<br />
primary<br />
branches /<br />
panicle<br />
28.1** 34.4** 14.6** 38.3 59.7** 20.3 14.2** 30.5** 13.6* -6.2*<br />
Number<br />
grains/primary<br />
branch<br />
42.8** 31.4** 23.1** 25.1** -5.5 5.1* 4.11 24.6** -14.4** 21.1**<br />
100 grain<br />
weight(g)<br />
-17.3 1.1 25.5** 17.9* -3.4 17.9 -14.9** 7.7 -1.6 23.3**<br />
Grain yield /<br />
plant(g)<br />
81.6** 3.4** 19.2** 23.9** 50.6* 28.9** 37.0** 15.5** 60.3** 34.3**<br />
Fodder yield /<br />
plant(g)<br />
66.1** 0.98 24.6** 12.8** 40.9** 30.2** 29.2** 0.8 42.7** 21.9**<br />
Harvest<br />
index(%)<br />
11.7** 3.5* -6.5** 0.8 1.8 -.9.2 1.6 6.7** 4.3 9.1<br />
Protein (%) 5.8 3.4 -10.7 6.0 8.3 12.6 -14.5 10.0 8.5** 15.0<br />
66
HETEROSIS AND INBREEDING DEPRESSION IN RABI SORGHUM<br />
REFERENCES<br />
AOAC.1980. Official methods of analysis. Association of official analytical chemists.12 th<br />
Ed. Washington DC.pp.206.<br />
Goyal,S.N. and Joshi,P.1984 .Genetics of yield and panicle components in grain sorghum<br />
hybrids. Indian Journal of Genetics and Plant Breeding. 44: 96-101.<br />
Kaul Swarnalata and Rana, B. S. 1997. Heterosis in post rainy season sorghum hybrids.Proc.<br />
The international symposium on “ Genetics and exploitation of heterosis in crops’’<br />
CIMMYT, Mexico, pp 228-229.<br />
Kulkarni, N., Murty, K .N. and Sahib, K. H. 1977. Inbreeding depression for grain yield in<br />
sorghum hybrids. Sorghum Newsletter 20: 15-16.<br />
Madhusudhana, R., Umakanth, A. V, Kaul, S. L. and Rana, B. S. 2003.Stability analysis for<br />
grain yield in rabi sorghum. Indian Journal of Genetics and Plant Breeding 63(3) 255-<br />
256.<br />
Patel, R.H., Desai, K. B., Tikka,S.B. S. and Raja, K .R .V .1983. Heterosis and inbreeding<br />
depression in sorghum. Gujarat Agricultural University Research Journal. 8 (2):<br />
121-124.<br />
Rao,S .S, Rao, M. H., Krishna, T.K. and Rana, B.S. 1998. Characterization of sorghum<br />
hybrids and varieties for growth parameters, biomass accumulation and yield potential<br />
in rainy season. Indian Journal of Plant Physiology 3 (4): 269-275.<br />
Reddy, J.N. and Joshi, P. 1993. Heterosis, inbreeding depression and combining ability in<br />
sorghum. Indian Journal of Genetics and Plant Breeding, 53 (2): 138-146.<br />
Smart, R. E. 1974. Rapid estimation of relative water content .Plant Physiology 53:<br />
258-260.<br />
Stickler, F. C. and Pauli, A .W.1961. Leaf removal in grain sorghum I. Effects of certain<br />
defoliation treatments in yield and components of yield. Agronomy Journal 53:99-<br />
102.<br />
67
Research Note<br />
J.Res. ANGRAU 36(4)68-72, 2008<br />
INHERITANCE OF GRAIN YIELD IN WHEAT (Triticum aestivum<br />
L. Em.Thell.) UNDER TERMINAL HEAT STRESS<br />
S. R. REDDY, A. K. CHHABRA, R. K. BEHL and A. R. KRISHNA<br />
Department of Plant Breeding<br />
CCS Haryana Agricultural University, Hisar-125 004<br />
Achieving high grain yield per plant has been the aim of any plant breeding programme.<br />
Grain yield is a quantitative character and understanding the gene effects and mode of<br />
inheritance of this character is of utmost importance in deciding a suitable breeding technique.<br />
Diallele analysis does not provide the estimates of different non-allelic gene action operating<br />
in inheritance, which could be obtained by generation mean analysis. The non-allelic interaction<br />
could inflate the measure of additive and dominant components. It is therefore, important to<br />
identify and estimate additive and dominant epistatic components, so that these could be<br />
exploited by using suitable breeding techniques. Hence, the present study was planned to<br />
investigate genetics of grain yield per plant for six generations employing five crosses under<br />
normal (E 1<br />
) and late sown (E 2<br />
) conditions.<br />
The experimental material comprised five crosses namely, PBW 452×<br />
RAJ3765, PBW 452 × LOK 45, PBW 452× PBW 343, CBW12 × RAJ 3765 and CBW 12×<br />
LOK 45, generated from five diverse parents. The seed material of the six generations<br />
namely Parent 1 (P 1<br />
), Parent 2 (P 2<br />
) F 1<br />
, F 2<br />
, BC 1<br />
(cross between F 1<br />
×P 1<br />
) and BC 2<br />
(cross between<br />
F 1<br />
×P 2<br />
) was obtained from the Department of Plant Breeding, CCS HAU, Hisar<br />
All these populations were raised together in randomized block design with three<br />
replications on two dates of sowing i.e. 25 November for optimum environment and on 25<br />
December 2002 when heat stress during grain filling stage was felt. Two meter long rows,<br />
spaced 30 cm apart with 10 cm distance between the plants was allocated to parents and F 1<br />
while ten row and two row plots were used for segregating generations i.e. F 2<br />
and back cross<br />
populations.<br />
The gene effects were estimated in all the five crosses for six generations by employing<br />
generation mean analysis of Mather (1949), Hayman and Mather (1955) and Jinks and Jones<br />
(1958).<br />
e-mail : ramanareddysiddu@gmail.com.<br />
68
INHERITANCE OF GRAIN YIELD IN WHEAT<br />
Results of joint scaling test indicated that the inheritance of grain yield could be<br />
explained on the basis of six parameter model in all the cases except in the cross PBW 452<br />
× PBW 343 grown in normal sown condition, where 3 parameter model was adequate (Table<br />
1). Thus genetic variation which could not be ascribed to additive dominance effects rather<br />
revealed the presence of epitasis. Mather (1949) explained that until experimentally proved,<br />
the absence of epitasis can not be assumed when dealing with quantitative traits.<br />
Additive gene effects were found to be significant in the crosses PBW<br />
452×RAJ 3765 (E 1<br />
) and PBW 452 × PBW 343 (E 1<br />
). Significant additive effects were also<br />
reported earlier for this trait by Uppal et al. (1998) and Yadav and Behl (2002). Dominance<br />
effect was found to be significant in the crosses PBW 452 × RAJ 3765 and PBW 452 × PBW<br />
343 (E 1<br />
and E 2<br />
), CBW 12× RAJ 3765 (E 2<br />
) and CBW 12 × LOK 45 (E 1<br />
). These results are in<br />
conformity with those reported earlier for grain yield per plant by Vitkare and Atale (1996) and<br />
Khalifa et al.(1997). Gamble (1962) suggested that when the inheritance of quantitative traits<br />
become complex, the contribution of pooled additive gene effects (d) to their inheritance<br />
becomes more. Also the sign of dominant gene effects (h) has an enhancing effect on<br />
expression in that particular direction. The di-genic epistatic interaction was significant in<br />
majority of the cases. In some of the crosses (PBW 452 X RAJ 3765 and CBW 12 X LOK<br />
45) predominance of duplicate type of gene effects were found. In certain cases, the additive<br />
dominance model was inadequate, but when they were subjected to six parameter model,<br />
they failed to show any of the significant gene effects. This may be due to the presence of<br />
higher order interaction or Gene X Environment (G X E) interaction or linkage. This situation<br />
was observed in PBW 452 × LOK 45 (E 2<br />
) and CBW 12 × RAJ 3765 (E 1<br />
). Such trends were<br />
reported by Tripathi et al. (1983) in Barley and Jindal (1990) in wheat.<br />
In the present study, parents having different responses to photoperiod and<br />
temperature with varying potential for various morpho-physiological characters were involved.<br />
This offers a great promise to select genotypes combining high temperature tolerance and<br />
good yield attributes. Considerably large additive gene effects somehow would facilitate<br />
selection of desirable segregates from E 2<br />
even if the E 2<br />
mean is lower provided the range is<br />
considerably large. Therefore, simple selection should be practised in PBW 452×RAJ 3765<br />
(E 1<br />
) and PBW 452×PBW343 (E 1<br />
). Since the dominant gene effects are ephemeral, tangible<br />
improvement therefore, can be made by exploiting additive× additive type of epistasis also.<br />
In such cases the improvement could either be realized by straight simple selection or by<br />
inter-mating the parents to accumulate more favorable alleles in individual genotypes. As<br />
the objective is to combine photo- thermal responses along with grain yield components, a<br />
serious thought should also be given to the gene effects for morpho-physiological characters<br />
like days to anthesis and plant height for effective selection.<br />
69
REDDY et.al.<br />
However, there were large numbers of cases where dominance and non<br />
fixable di-genic interaction were also important. Selection in the early generations of these<br />
crosses would not be effective for want of fixable components of variation. Such gene effects,<br />
can, however be exploited by intermating the selected plants in advanced generations. The<br />
other possibilities could be diallele selective mating (Jenson, 1970) or recurrent selection<br />
procedures (Singh and Pawar, 1990) for the exploitation of non additive genetic variability.<br />
70
INHERITANCE OF GRAIN YIELD IN WHEAT<br />
Table 1. Estimates of components of generation mean (3 and 6 parameter model) in five crosses for grain yield of<br />
wheat under normal (E1) and late sown (E2) environments<br />
Grain yield<br />
per plant<br />
(g)<br />
m d h i j l 2 Epistasis<br />
PBW 452 x<br />
RAJ 3765<br />
E1 10.59<br />
±0.714<br />
3.56**<br />
±1.34<br />
16.701**<br />
±4.1<br />
15.28**<br />
±3.91<br />
-29.72**<br />
±6.45<br />
-28.72**<br />
±5.47<br />
24.6** D<br />
E2 7.34<br />
±0.56<br />
1.45<br />
±0.72<br />
-4.29*<br />
±1.93<br />
-4.34**<br />
±1.47<br />
13.74**<br />
±3.85<br />
14.84**<br />
±3.82<br />
13.03** D<br />
PBW 452 x<br />
LOK 45<br />
E1 12.83<br />
±1.33<br />
-2.10<br />
±1.88<br />
14.53<br />
±3.01<br />
15.77*<br />
±4.86<br />
-27.7*<br />
±5.09<br />
-28.7*<br />
±11.09<br />
9.33* -<br />
E2 7.49<br />
±1.13<br />
-2.20<br />
±0.51<br />
3.18<br />
±1.75<br />
1.69<br />
±0.64<br />
-9.05<br />
±2.38<br />
-10.05<br />
±2.38<br />
10.96* -<br />
PBW 452 x<br />
PBW 343<br />
E1 14.51<br />
±0.63<br />
-1.50*<br />
±0.66<br />
-3.37**<br />
±0.88<br />
–– –– –– 1.08 Nil<br />
E2 11.34<br />
±0.54<br />
2.80<br />
±1.47<br />
-12.46**<br />
±3.82<br />
-11.98**<br />
±3.66<br />
3.59<br />
±0.65<br />
4.60<br />
±0.59<br />
60.6** -<br />
CBW 12 x<br />
RAJ 3765<br />
E1 11.86<br />
±1.42<br />
-1.17<br />
±0.69<br />
4.28<br />
±2.78<br />
3.96<br />
±1.61<br />
-14.62<br />
±3.31<br />
-14.66<br />
±4.33<br />
15.3** -<br />
E2 9.29<br />
±.058<br />
-2.80<br />
±1.43<br />
-8.97**<br />
±3.26<br />
-8.20**<br />
±2.87<br />
10.18<br />
±2.51<br />
12.28<br />
±3.51<br />
45.45** -<br />
CBW 12 x<br />
LOK 45<br />
E1 10.10<br />
±0.70<br />
1.53<br />
±0.81<br />
10.03**<br />
±3.43<br />
12.23**<br />
±3.27<br />
-26.12**<br />
±4.79<br />
-26.72**<br />
±4.79<br />
34.17** D<br />
E2 7.78<br />
±0.49<br />
-1.48<br />
±1.21<br />
6.26<br />
±1.22<br />
5.94<br />
±1.13<br />
-18.6**<br />
±4.42<br />
-19.6**<br />
±5.46<br />
21.9** -<br />
m=mean effect, d=Pooled additive gene effect , h= Pooled dominance gene effect E1=Normal sown environment, E2= Late sown<br />
environment i = Pooled additive x additive epistatic effect , j= Pooled additive x dominance epistatic effect, l= Pooled dominance x dominance<br />
epistatic effect<br />
71
REDDY et.al.<br />
REFERENCES<br />
Cavalli, L.L. 1952. An analysis of linkage of quantitative inheritance (E.C.R. Reeve and C.H.<br />
Weddington eds.), HMSC, London pp: 135-144.<br />
Gamble, E.E. 1962. Gene effects in corn (Zea mays L.) separation and relative importance<br />
of gene effects for yield. Canadian Journal of Plant Science 42: 339-348.<br />
Hayman, B.I and Mather, K. 1955. The description of genic interaction in continuous variation.<br />
Biometrics 11: 69-82.<br />
Jenson, N.F. 1970. A diallel selective mating system for cereal breeding. Crop Science<br />
10 (1): 629-635.<br />
Jindal, Y.K. 1990. Genetic analysis of wheat (Triticum aestivum L. em Thell) cross involving<br />
photo-thermo responsive parents. M.Sc. Thesis submitted to Haryana. Agricultural university,<br />
Hisar.<br />
Jinks, J.L. and Jones, R.M. 1958. Estimation of components of heterosis. Genetics 43 (3):<br />
223-234.<br />
Khalifa, M.A., Shalaby, E.M., Ali, A.A. and Towfelis, M.B. 1997. Inheritance of some<br />
physiological traits, yield and its components in durum wheat. II. Grain yield and its<br />
components. Australian Journal of Agricultural Sciences 28 (4): 163-180.<br />
Mather, K. 1949. Biometrical Genetics 1 st Ed., Methuen, London. pp 192-197<br />
Singh, S. and Pawar, I.S. 1990. An appraisal of selection methods in self fertilized crops.<br />
Trends in crop improvement 44 (1): 17-26.<br />
Tripathi, I.D., Chandra, S and Singh, M. 1983. Inheritance of metric traits in three barley<br />
populations in normal and saline-alkali soils. Theoretical and Applied Genetics 66 (2): 15-21.<br />
Uppal, S., Chawla, V., Singh, V.P. and Sehrawat, A.R. 1998. Genetic architecture of some<br />
quantitative traits in bread wheat. Annals of Agricultural Bio Research 3 (1): 55-60.<br />
Vitkare, D.G and Atale, S.B. 1996. Gene effects of some yield components in bread wheat<br />
(Triticum aestivum L.). PKV Research Journal 20 (2): 122-125.<br />
Yadav, R and Behl, R.K. 2002. Genetics of morpho-physiological characters and grain yield<br />
in wheat. National Journal of Plant Improvement 4 (2): 26-29.
ABSTRACTS<br />
Abstracts of Theses Accepted for the Award of Post-Graduate and<br />
Doctorate Degrees in the Acharya N.G. Ranga Agricultural University,<br />
Rajendranagar, Hyderabad - 500 030<br />
Physiological and Biochemical Characterization of Staygreen and Rabi Adapted<br />
Genotypes for Terminal Drought Tolerance in Sorghum<br />
(Sorghum Bicolor (L.) Moench)<br />
Student: K. A. kiran kumar Major Advisor: Dr. S. S. Rao<br />
Department of Plant Physiology<br />
Field experiments were conducted with an objective of characterizing the physiological and biochemical<br />
differences of staygreen and rabi adapted genotypes for terminal drought tolerance in sorghum<br />
during rabi season, 2003/04 and summer season, 2004 at National Research Centre for Sorghum Farm,<br />
Rajendranagar, Hyderabad. The experiments were laid out in a split-plot design with three replications having<br />
two main treatments (stress and nonstress) and sixteen sub-treatments (staygreen and rabi adapted genotypes).<br />
For stress treatments, water stress was imposed after flowering in both seasons. The results of the<br />
investigation revealed that plant height reduced by 4% and 7% due to stress over nonstress in rabi and<br />
summer seasons, respectively.<br />
At maturity, (E 36-1 x R 16)-8-1 in rabi season and (ICSP 2B x E 36-1) progeny in summer season<br />
had higher leaf dry weights coupled with higher grain yield besides possessing slow rate of leaf senescence.<br />
Panicle dry weights reduced by 20% and 14% in stress during rabi and summer seasons, respectively. It has<br />
shown positive relationship with leaf area, biomass and components of grain yield. Total dry matter (TDM)<br />
production was reduced by 16% and 12% under stress compared to nonstress conditions in rabi and summer<br />
seasons, respectively.<br />
The rate of leaf senescence was less in SG by 17% and 24% in rabi and summer seasons,<br />
respectively compared to RA genotypes. Further, the rate of senescence was significantly less in SG genotypes<br />
such as E 36-1, QL 10, and B 35 in rabi season and (ICSP 2B x E 36-1) progeny followed by QL 10 and<br />
B 35 in summer season than the checks. SG entries such as B35, QL 10, (ICSP 2B x E 36-1) progeny has<br />
-2<br />
consistently recorded higher photosynthetic rate (15.0-19.3 µ moles CO 2<br />
m sec -1 ) over RA ones (11.8-15.7<br />
-2<br />
µ moles CO 2<br />
m sec -1 ) at hard dought stage in both seasons under severe water stress.<br />
Terminal drought stress resulted in accumulation of 99 and 103% higher proline in the leaves of<br />
stressed plants over non-stresses in rabi and summer, respectively. Higher proline content was accumulated<br />
by B35, and CRS 1 during rabi and none was found superior to checks in summer. CRS 1 and RSP 1 had<br />
accumulated high total soluble sugars under stress.<br />
E 36-1 rabi and (ICSP 2B x E 36 -1) progeny in summer season had recorded relatively low “ 13 C<br />
values (4.86 and 4.92%) under stress situations which also produced relatively higher yield. Significantly<br />
higher grain number was recorded by (E 36-1 x R 16)-8-1 and CRS 4 under stress in rabi and (IS 23399 X NR<br />
1349)-2-2-4-1, (ICSP 2B x E 36-1) progeny, Maulee and CRS 4 in summer.<br />
From the above results, it can be concluded that the physiological and biochemical traits associated<br />
with staygreen such as SCMR, RWC, SLN, total chlorophyll, delayed rate of leaf senescence and high<br />
sources-sink ratio could be as a criterion for evaluating drought tolerance. Potential sources identified for<br />
drought tolerance from this study include (IS 23399 x NR 1349)-2-2-4-1-1, (ICSP 2 B x E 36-1) progeny, (E<br />
36-1 x R 16)-8-1, B35, QL 10 and BJ 111. These sources can be utilized immediately as parents for<br />
developing mapping population in MAS for drought tolerance.
ABSTRACTS<br />
Taxonomic Studies on Certain Genera of Typhlocybinae (Cicadellidae: Hemiptera) of<br />
Andhra Pradesh<br />
Student: P. Seetha ramu Major advisor: Dr. V. Rama subba rao<br />
Department of Entomology<br />
The taxonomic studies on certain genera of the subfamily Typhlocybinae from different districts of<br />
Andhra Pradesh were undertaken in the Department of Entomology, Agricultural College, Bapatla during 2003-<br />
2006. Among the leafhoppers collected from different crop ecosystems as well as from weeds, grasses and<br />
light domes, 26 species of leafhoppers belonging to 13 genera under three tribes were identified. The species<br />
viz., Tautoneura ficaria Dworakaowska, Tautoneura prima Dworakaowska, Thaia (Nlunga) drutoidea<br />
Dworakowska and Thaia (Nlunga) lankaensis Dworakaowska from India and nine species viz., Uzeldikra<br />
citrina (Melichar), Alebroides clavatus Sohi and Dworakowska, Empoasca (Sabourasca) albizziae Mahmood,<br />
Ahmed and Aslam, Empoasca (Empoasca) lillae Dworakowska, Ficiana pruthii Ghauri, Jacobiasca boninenis<br />
(Matsumura), Cubnara pattambiensis Mathew and Ramakrishnan, Thaia (Nlunga) indica Ramakrishna and<br />
Menon, Zyginopsis verticalis Ahmed from Andhra Pradesh are reported for the first time. A checklist for<br />
genera and species of Typhlocybinae of Indian subcontinent was prepared. Among all the leafhoppers,<br />
Amrasca biguttula bigguttula (Ishida), Empoasca (Empoasca) motti Pruthi and E. (E.) kerri Pruthi were distributed<br />
in majority of the districts of Andhra Pradesh causing accountable losses on some of the economically<br />
important crops. Empoasca (Sabourasca) albizziae Sohi and Dworakaowska, Ficiana pruthii Ghauri and<br />
Cubnara pattambiensis Mathew and Ramakrishnan are affecting the avenue trees like Albizzea lebbeck,<br />
Delonix regia, Pongamia sp., Cassia sp. And Samania saman causing some economic losses. Earlier the<br />
species like Empoascanara maculifrons (Motschulsky) and Seriana jaina (Distant) were reported on rice and<br />
grasses but in the present investigation these were reported on wide range of crops in more than 50 per cent<br />
of the districts. It indicates the rapid distribution of the leafhoppers on different crop ecosystems. Hence, there<br />
is every need to regular monitoring of the leafhoppers on different crop ecosystems as they may attain pest<br />
status in due course of time.<br />
Determination of Efficacy of Different Helicoverpa Armigera Nucleopolyhedrovirus<br />
(HaNPV) Strains And Standardization of Production Procedures<br />
Student: K. Sireesha Major advisor: Dr. P. Arjuna Rao<br />
Department of Entomology<br />
Investigations were carried out on the “Determination of efficacy of different Helicoverpa armigera<br />
nucleopolyhedrovirus (HaNPV) strains and standardization of production procedures” during 2003-2005 at<br />
ICRISAT, Patancheru centre.<br />
Quality and efficacy of HaNPV multiplied on field collected larvae as well as laboratory reared larvae<br />
were assessed by conducting bioassay studies and by estimating bacterial population. For mass multiplication<br />
of HaNPV, fourth instar larvae were inoculated with 10 8 POBs/ml and reared in the laboratory. There was<br />
75.6% mortality with field collected larvae where as laboratory reared ones recorded 72.6% mortality.<br />
Bioassays conducted to test the efficacy of Ha NPV multiplied on field collected larvae and laboratory<br />
reared larvae showed the LC 50<br />
values of 1.78X10 3 POBs/ml and 2.15x10 3 POBs/ml, respectively.<br />
Bioassays were conducted with second and third instar larvae of H. armigera to study the virulence<br />
of six HaNPV isolates from different places of India. Among the six isolates ICRISAT-HaNPV was found<br />
superior which was followed by GAU-HaNPV, PAU-HaNPV, TN-HaNPV, AK-HaNPV, UASD-HaNPV.The LT 50<br />
values also revealed the same.<br />
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ABSTRACTS<br />
Under TEM observation, the extract of the diseased larvae showed the presence of large polyhedral<br />
particles of diameter ca. 78 nm. After the dissolution with alkali, empty polyhedral sacs of 2.31 µm length and<br />
2.05 µm width were observed.<br />
Harvesting of NPV infected larvae before 9 th day after inoculation was better to get the maximum<br />
virus yield as well as to reduce the development of bacterial contamination. Early harvesting of NPV infected<br />
larvae on 5 th and 6 th days was also not feasible. Harvesting of all the infected larvae after 7 th and 8 th day and<br />
immediate processing helped to decrease the bacterial contamination level instead of waiting for the complete<br />
death of all the larvae.<br />
Chemical used, as preservatives for NPV were effective in minimizing the bad odour problem in<br />
storage and reduced the bacterial contamination level. NPV samples treated with acetone, ethyl alcohol and<br />
phenyl gave 73.33%, 70.00% and 63.33% mortality, respectively at the end of one year storage and phenyl<br />
was found effective in suppressing the bacterial growth, which was followed by ethyl acetate. All the chemicals<br />
used were cost effective with an extra cost involvement of Rs. 3-12.5 ha -1 only.<br />
Heterosis and Stability Studies on Petiolaris and Argophyllus Cytoplasm Based<br />
Hybrids In Sunflower (Helianthus Annus L.)<br />
Student : S. Sobhan Babu<br />
Major Advisor : Dr. K. Raja Reddy<br />
Department of Genetics & Plant Breeding<br />
The commercial production of hybrid sunflower has been based on a single source of cytoplasmic<br />
male sterility, PET 1 (Helianthus Petiolaris) for the past three decades. Diversification of CMS source is<br />
inevitable in heterosis breeding programme to avoid potential risk of vulnerability to any new strain of pathogen.<br />
The investigation was aimed at identifying restorers to PET (Petiolaris) and ARG (Argophyllus) cytoplasmic<br />
male sterile source, to study the extent of heterosis, inbreeding depression, stability, cytoplasmic effects of<br />
male-sterile cytoplasm on the nuclear background of male inbreds and the reaction of the hybrids to Alternaria<br />
blight and sunflower necrosis diseases. The experiment was conducted at Directorate of Oilseeds Research,<br />
Rajendranagar, Hyderabad during 2002-2003 using six CMS lines, three each from PET and ARG sources,<br />
their maintainer lines and 40 inbred lines. All the inbred lines which restored fertility in CMS PET 1 also restored<br />
fertility in CMS ARG except DSI-70 which behaved as a maintainer for CMS ARG. The hybrids exhibited<br />
significant heterosis over better parent and standard check in desirable direction for all the characters studied.<br />
Pooled analysis of variance indicated significant differences between genotypes and environments. Highly<br />
significant genotypes x environment interaction and its linear component revealed differential response of<br />
genotypes in varying environments for all the characters. The variance due to environment (linear) was highly<br />
significant for all the characters except head diameter suggesting the presence of variation among the<br />
environments. The variance due to pooled deviations was significant for all the characters revealing fluctuating<br />
performances of genotypes from linearity of response to varying environments. Differences in mean<br />
performance of F 1<br />
s produced by crossing CMS line (A) and the respective maintainer line (B) to the same male<br />
parent (R) for any character under study indicates the influence of respective parent. In the present study, B<br />
x R hybrids outperformed the A x R hybrids for all the characters except oil content indicating the influence of<br />
male sterile cytoplasm on the nuclear back ground of male parents. In the disease screening studies, the<br />
hybrids CMS 234A x RHA 265, DCMS 42 x RHA 273 and DCMS-43 x DSI-218 displayed resistant reaction for<br />
Alternaria blight and sunflower necrosis disease while CMS 378A and CMS 234A exhibited resistance reaction<br />
for sunflower necrosis disease.<br />
As indicated by the results, the restorer genes were same for the PET 1 and ARG cytoplasms<br />
hence, the new source i.e., ARG cytoplasm can be useful in widening the genetic base of the hybrids and<br />
reducing the vulnerability in new races of pathogens and insect-pests. The hybrids which produced stable and<br />
better performance with minimum reduction in vigour are to be advanced for further testing. Studies are to be<br />
conducted to overcome the effects of male sterile cytoplasm on the nuclear background of male parents.<br />
75
ABSTRACTS<br />
Studies on F 2<br />
Screen for Resistance Alleles Against Cry Toxin And Insecticides to<br />
Diamondback Moth Plutella Xylostella (Linn.)<br />
Student : V. Ramesh babu Major Advisor : Prof. T.V.K. Singh<br />
Department of Entomology<br />
Field population of Diamondback moth (DBM) infesting cabbage and cauliflower in and around<br />
Hyderabad was used in the F 2<br />
screen for detecting the presence of resistance alleles confirming resistance<br />
to Cry 1 Ac, cartap hydrochloride and novaluron. Eleven F 2<br />
larvae belonging to five isofemale lines survived in<br />
the F2 generation after bioassay and were re-evaluated for confirming the presence of resistance alleles and<br />
were proved as false positives. None of the F2 survivors confirmed the presence of resistance alleles in their<br />
single pairs suggesting the absence of resistance alleles or confirming the presence of SS genotypes. The<br />
estimated frequency of resistance alleles in the present study using Bayesian inference was 8.6 x 10 -3 and<br />
associated variance was 6.93 x 10 -5 . The 95% Credibility Intervals for this isofemales was 2.1 x 10 -4 to 3.3 x<br />
10 -2 (these are the lower and upper limit for the expected frequency of resistance alleles) with an experimentwise<br />
detection probability of 52 per cent. No resistance allele confirming resistance to the toxin and chemicals<br />
tested was detected in the present study. A further sampling of few more isofemales lines would suggest the<br />
implication of refugia concept for successful implementation of Bt cabbage and Bt cauliflower cultivation in<br />
coming years.<br />
Varietal Screening and Insecticidal Evaluation Against<br />
Maruca Vitrata (Geyer) in Pigeonpea<br />
Student : V. Sunitha<br />
Major Advisor : Dr. K. Vijaya Lakshmi<br />
Department of Entomology<br />
The present study was under taken on the “V arietal screening and insecticidal evaluation against<br />
Maruca vitrata (Geyer) in pigeonpea” at International Crops Research Institute for the Semi-Arid Tropics<br />
(ICRISAT), Patancheru, Andhra Pradesh during 2004-2005 crop season. Six selected short duration pigeonpea<br />
genotypes viz., ICPL 98001, ICPL 98002, ICPL 98003, ICPL 98008, ICPL 98012 AND ICPL 88034 were tested<br />
against M. vitrata in the field, greenhouse and laboratory conditions. The relative efficacy of six insecticides<br />
was evaluated against 3 rd instar larvae of M. vitrata under laboratory conditions.Greenhouse and laboratory<br />
studies showed less consumption of food and reduced larval and pupal weights of M. vitrata when reared on<br />
highly resistant genotypes (ICPL 98003 and 98008), while the larvae reared on the susceptible genotype ICPL<br />
88034 consumed more food, showed more larval and pupal weights and recorded highest growth rate as<br />
compared to the highly resistant genotypes. The laboratory studies conducted with newer and ecofriendly<br />
insecticides against M. vitrata revealed that the indoxacarb and spinosad were highly effective at recommended<br />
doses. The biopesticides, Bacillus thuringiensis and Metarhizium anisopliae showed moderate efficacy and<br />
the botanical insecticide neem fruit extract was least effective to M.vitratea.<br />
Soil Test Crop Response Correlation Studies in<br />
Indian Mustard (Brassica Juncea L.)<br />
Student : Binoy Chhetri<br />
Major Advisor : Dr. Shaik Mohammad<br />
Department of Agronomy<br />
A field experiment was conducted on soil test crop response correlation studies in Indian mustard in<br />
sequence to the fertility gradient trial at the students’ farm, College of Agriculture, Rajendranagar, Hyderabad.<br />
The fertility gradient experiment was conducted by growing fodder sorghum variety SSG 59-3 on 30.06.05<br />
76
ABSTRACTS<br />
during Kharif 2005. The results showed a wide variability in the soil nutrient available status between the strips<br />
after the harvest of the crop. In the subsequent rabi season mustard variety Pusa Jaikisan was sown on<br />
25.11.05 for soil test crop response correlation studies. A total number of 24 treatments involving 21 combination<br />
levels of NPK through fertilizers and three controls were executed in each of the three fertility gradients. The<br />
oil content increased by the application of 40 kg N/ha and decreased with futher increase up to 120 kg N/ha.<br />
Application of 20 kg P 2<br />
O 5<br />
/ha also increased the oil per cent. Oil yield increased by the application of fertilizers<br />
up to 80 kg N, 60 kg P 2<br />
O 5<br />
and 40 kg K 2<br />
O/ha. Mustard produced 5.4 q/ha seed yield by the application of 120<br />
kg N/ ha in the 0 X fertility gradient but 80 kg N / ha was sufficient to harvest 6.3 and 5.4 q / ha seed yield in the<br />
1X and 2 X fertility gradients. Stover yield increased to maximum by the application 120 kg N / ha. The crop<br />
produce maximum seed yield of 4.5 q/ha by the application of 60 kg P 2<br />
O 5<br />
/ ha in the 0 X fertility gradient. It<br />
required only 20 kg P 2<br />
O 5<br />
/ ha and yet produced more seed yield of 5.7 q/ha in the 1 X and 2 X fertility gradients.<br />
Maximum stover yield was obtained by the application of 60 kg P 2<br />
O 5<br />
/ha. The crop required 60 kg K 2<br />
O /ha to<br />
produce 5.4 q seed yield in the 0 X fertility gradient. But, it produced 6.5 and 5.2 q/ ha seed yield by the<br />
application of only 20 kg K 2<br />
O / ha in the 1 X and 2X fertility gradient. Maximum stover yield was obtained by the<br />
application of 60 kg K 2<br />
O / ha. The nutrient budgeting recorded higher balance of nitrogen in 0 X and 1 X fertility<br />
gradient than the initial value. Phosphorus was build up to more than the initial soil test value in the three<br />
gradients. The actual balance of potassium was also more than the initial soil test value in the 0 X and 1 X<br />
gradients while it was low in the 2 X fertility gradient.<br />
Carbon Sequestration Studies under Major Crops in Nalgonda District Using<br />
Remote Sensing and GIS<br />
Student: D. Gopal Reddy Major Advisor: Dr.(Mrs.) G. Jayasree<br />
Department of Soil Science & Agril. Chemistry<br />
A Study was conducted to delineate the major crops grown in Nalgonda District, Andhra Pradesh to<br />
estimate the soil organic carbon density and to find out the relationship between soil organic carbon and<br />
spectral reflectance from the soil. A total of 31 sites were chose basen in the soil resource map produced by<br />
NBSS & LUP and samples were collected from the profiles dug up to 1 m depth both before sowing and after<br />
harvest of the Kharif crops. The overall classification accuracy for all the classes was 85.71 percent and the<br />
overall kappa statistics obtained was 0.8379. The change in soil organic carbon density was found to be more<br />
in the sparsely vegetated forest lands than in cultivated crop lands. Among the cultivated crop lands the<br />
change in the soil organic carbon density was found to be more in castor-redgram cropping system. The<br />
spectral reflectance from the soil revealed that finely sieved sample showed higher reflectance that the<br />
unsieved coarse sample. A significant negative correlation was observed between spectral reflectance and<br />
organic carbon content for both sieved and unsieved samples. The wavelength bands ranging from 1335 –<br />
1350 and 1450 – 1800 nm were found to be sensitive for detection of organic carbon.<br />
Urban Household Consumption Behaviour And Products of<br />
Multinational Companies<br />
Student: Jyoti Panday Major Advisor: Dr. Vijaya Nambiar<br />
Department of Resource Management & Consumer Sciences<br />
Consumers are the pillars of economic development in any country as the entire economy revolves<br />
around them. India has always been known for centuries for its trade, exotic market and bazaars. Consumers<br />
in developing countries can get affected due to a large participation of MNCs in their market, also because of<br />
the uncertainty that might arise in the domestic availability and prices of goods as the MNCs tend to replace<br />
the domestic products with their own brands. International trade has brought about changes within societies<br />
as individuals and families modify their consumption pattern and initiate new and greater demands for consumer<br />
products acquired through external sources such as trade rather than indigenous sources.<br />
77
ABSTRACTS<br />
The present study was exploratory in nature. The sample comprised 300 respondents, 100 each<br />
belonging to three income categories. The sample was drawn randomly from the four zones of the twin cities<br />
of Hyderabad and Secunderabad in Andhra Pradesh. To study the urban household consumption behaviors<br />
with effect of MNCPs, five scales were developed name by – The Consumer Ethnocentrism Scale, Goal<br />
Congruency Scale, Consumer Product Susceptibility and Innovativeness Scale, Product Influence on Attitude<br />
Scale, Enculturation – Acculturation scale. The findings of the study revealed that majority of the respondents<br />
were having medium level of MNCP use segmentation. Nearly cent percent of the respondents stated that<br />
MNCP had medium level of goal congruency.<br />
With regards to personality, with increase in MNCP information package, products goal congruency,<br />
expenditure pattern, MNCP use segmentation, there was increase in level of susceptibility – Innovativeness.<br />
Regarding perception level, it was found that majority of the respondents perceived that MNCP attributed level<br />
was high in comparison with Indian product. The financial risk was the most pronounced risk faced by<br />
consumers of MNCPs. The findings indicate that when age, income and respondent’s spouse educational<br />
status increased, then the level of enculturation – acculturation also increased. The foremost reason for<br />
consumers’ shift in consumption from Indian to MNCPs was ‘quality of MNCP’. With the increase in educational<br />
and occupational status, the MNCP influence on consumer attitude also started increasing. The present<br />
findings can have important implications for theories of consumption behavior, for policy makers for formulation<br />
of consumer welfare programmes for consumer psychologist to screen the consumers according to their<br />
ethnocentrism level, enculturations – acculturation level, susceptibility – innovativeness level. Overall the<br />
findings of the study have direct implications on consumers, manufacturers, producers, marketers, policy<br />
makers, consumer activists / bodies, government and nongovernment organizations.<br />
Influence of Organic Manuring on The Incidence of Insect Pests of Rice<br />
Student: R. Jothimani Major Advisor: Dr. K. Vijaya Lakshmi<br />
Department of Entomology<br />
A field experiment entitled “ Influence of organic manuring on the incidence of insect pests of rice”<br />
was carried out at College Farm, College of Agriculture, Rajendranagar, Hyderabad and Directorate of Rice<br />
Research (DRR), Rajendranagar, Hyderabad under unprotected and protected conditions during Kharif 2005<br />
and efficacy of neem formulation Fortune Aza (300 ppm) (3%) against rice pests in the protected block.<br />
Laboratory studies were conducted at All India Coordinated research project (AICRP) on biocontrol to study<br />
the effect of neem formulations on the adult emergence of egg parasitoid Trichogramma japonicum Ashmead.<br />
Neem formulation Fortune Aza (300 ppm) (3%) sprayed on organic manure treatments at College Farm,<br />
recorded less incidence of rice pests in neem cake and vermicompost plots which were on par with 100 per<br />
cent recommended. Significantly higher grain yield was recorded in plots treated with 100 per cent recommended<br />
dose of fertilizers and 50 per cent green manure + 50 per cent recommended dose of fertilizers. Among the<br />
organic treatments neem cake treatment recorded more yield. Laboratory studies conducted with different<br />
neem formulations on T. japonicum showed that vijayneem recorded significantly higher adults emergence of<br />
T. japonicum at recommended concentrated (3%).<br />
Quality Hybrid Seed Production By Regulation of Sex Expression In Castor<br />
(Ricinus Communis L.)<br />
Student : P. Sujatha<br />
Major Advisor : Dr. R. Ankaiah<br />
Department of Seed Science & Technology<br />
In the present investigation, the parental lines of DCH-177 hybrid i.e., DPC-9 (female line) and DCS-<br />
9(male line) were sown at 3:1 ratio in three different dates. The seed parents, DPC-9 was studied in order to<br />
78
ABSTRACTS<br />
know the influence of environment (September, October, November sowings) and growth regulators on sex<br />
expression and hybrid seed quality. The experiment was taken up during rabi, 2005 at National Seed Project,<br />
Acharya N. G. Ranga Agricultural University, Rajendranagar, Hyderabad.<br />
The environment (dated of sowing) showed significant effect on sex expression. September 16 th<br />
sowing recorded more number of pistillate plants with less number if interspersed staminate flowers followed<br />
by October 16 th sowing, whereas sowings done in November had very little influence on sex expression with<br />
less number of pistillate plants/plot.<br />
Seed quality parameters like germination per cent, seedling vigour index and field emergence index<br />
were recorded high in the seed obtained from September and October sowings as compared to November<br />
sowing. Hybrid seed obtained from September to October sown crops recorded high genetic purity and it was<br />
above certification standard (>85%) while seed obtained from November sown crop had very low genetic<br />
purity and it was below certification standard.<br />
Ethrel treatment enhanced the quality of the seed quality parameters as compared to GA 3<br />
treatment,<br />
water spray and control. Manual removal of ISF in seed parent during seed production resulted in higher<br />
genetic purity (95.9%) and it was on par with Ethrel treatment (94.0-96.2%). Ethrel treatment resulted in high<br />
genetic purity of hybrid seed due to suppression of ISF and maintenance of stable pistillate plants, while seed<br />
obtained from GA 3<br />
sprayed plots recorded very low genetic purity (70.1-78.8%) as a result of more number of<br />
ISF in seed parent. It was concluded that September and October sowings were congenial for quality hybrid<br />
seed production. Ethral @ 0.1% was found very effective for obtaining better quality seed by suppression of<br />
ISF in seed parent.<br />
A Study of Temporal Variations in Area, Production and Productivity of Certain<br />
Important Horticulture Crops in Andhra Pradesh<br />
Student: K. Srinivasa Rao Major Advisor: Sri. M.H.V. Bhave<br />
Department of Statistics & Mathematics<br />
The study entitled “A STUDY OF TEMPORAL VARIATIONS IN AREA, PRODUCTION AND<br />
PRODUCTIVITY OF CERTAIN IMPORTANT HORTICULTURE CROPS IN ANDHRA PRADESH” was<br />
undertaken to estimate the growth rates of the selected important horticulture crops viz: Tomato, Brinjal<br />
(Vegetable crops) Mango, Citrus, Banana Guava (Fruit crops) Coconut, Cashew nut (Plantation crops) and<br />
to fit the adequate trend equation for the future projections by 2010 AD.<br />
The reference period of study was from 1991-92 to 2002 -03 and the study was carried for Andhra<br />
Pradesh state as a whole. Linear and Compound growth rates were calculated to examine the trends in area,<br />
production and productivity of selected horticultural crops.<br />
The study revealed that the area and production of tomato marked a significant increasing trend whereas the<br />
productivity exhibited negative trend. Brinjal also showed significant increasing trend in area, production and<br />
insignificant positive trend in case of productivity. In case of mango, there was a substantial increase in area<br />
rather than in production and productivity. Banana, citrus and guava too exhibited a significant increasing<br />
trend in area, production and productivity and the same was observed in future projections by 2010 AD. It was<br />
revealed from increasing production of coconut that it was attributed by increasing area. In case of Cashew<br />
nut, a significant upward trend in area and non significant upward trend in production with negative trend in<br />
productivity was observed.<br />
79
ABSTRACTS<br />
Water Requirement and Nitrogen Dynamics in Soil Under SRI (System of Rice<br />
Intensification) and Flooded System of Rice Cultivation During Rabi Season<br />
Student: K. Nagaraju Major Advisor: Dr. M. Singa Rao<br />
Department of Soil Science & Agricultural Chemistry<br />
A field experiment was conducted on sandy clay loam soil at college farm, college of Agriculture,<br />
Rajendranagar, Hyderabad during rabi 2005-06 to study the “Water requirement and nitrogen dynamics in soil<br />
under SRI (System of Rice Intensification) and flooded system of rice cultivation during rabi season.” The<br />
experiment was laid out in spilt plot design consisting of two systems of cultivation viz., system of rice<br />
intensification and flooded system of cultivation which were allotted to the main plot treatments. The urea forms<br />
viz., control, uncoated urea, neem cake treated urea and neem oil treated urea were included as subplot<br />
treatments.<br />
The water use efficiency (i.e. kg of grain produced for the total water used during the entire crop<br />
growth period, i.e. nursery, main field, rain water and land preparation), under flooded system of rice cultivation<br />
was 2.51 kg grain ha -1 mm -1 where as under SRI it was 4.6 kg grain ha -1 mm -1 .<br />
The highest urease activity was recorded at 60 DAT in both the system of cultivation due to close<br />
relation between magnitude of NH 4<br />
-N and urease activity. The flooded system of cultivation recorded significantly<br />
higher N-uptake by the plant during 30 DAT, than that of SRI method.<br />
The bulk density decreased with increasing crop growth and at harvest it was lowest, irrespective<br />
of methods of cultivation. Flooded system of cultivation (15.28 kg -1 grain kg N) registered higher N- response<br />
when compare to SRI (14.10 kg -1 grain kg N) with respect to the urea forms, NOC (16.49 kg grain kg -1 N) was<br />
recorded highest N-response followed by NCU (15.04 kg -1 grain kg -1 N) and lowest N-<br />
recovery was observed in control (12.51 kg grain kg -1 N).<br />
Effect of Pollen Blend and Pollination Methods on Yield and Seed Quality in<br />
Sunflower (Helianthus Annuus L.) Genotypes<br />
Student: G. Ramulu Major Advisor: Dr.K. Radhika<br />
Department of Seed Science & Technology<br />
The present study entitled “Effect of pollens blend and pollination methods on yield and seed quality<br />
in sunflower (Helianthus annuus L.) genotypes” was conducted to asses the influence of various pollination<br />
methods on seed set, test weight, yield, oil content and quality of seed in sunflower. The seed material for the<br />
study comprising eight genotypes viz. two hybrids, two populations, four inbreds (two self compatible and two<br />
self incompatible lines) was obtained from the Directorate of Oil Seed Research, Rajendranagar, Hyderabad.<br />
The analysis of variance revealed that significant differences existed among the five pollination<br />
methods (Selfing, Supplimental hand pollination, Simple blend, Mixed blend and Open pollination), genotypes<br />
and there interactions.<br />
Among the pollination methods, pollination with a mixed blend of pollen enhanced seed set and also<br />
recorded higher oil content in the genotypes. The higher seed set reflected through mixed blend was attributed<br />
to effective transfer of viable pollen to the receptive stigma there by overcoming self incompatibility by intra<br />
allelic interaction.<br />
The test weight which is one of the important yield components was directly influenced by number of<br />
filled seeds per capitulum. Though less number of seeds was recorded in selfing, the test weight increased in<br />
bagging due to less competition among the sink and the availability of more nutrient supply per fertile achene.<br />
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ABSTRACTS<br />
The seed yield had significant positive association with total number of seeds, oil content, seed set,<br />
germination and other seed quality parameters. From the present study, it can be concluded that in future the<br />
breeders can concentrate on the development of synthetics, use of varietal mixtures and blends, which can<br />
yield on par with hybrids.<br />
Influence of Restorer Lines on Seed Setting, Quality Seed Production and<br />
Storability in Sunflower Hybrids<br />
Student: M. Sreelatha Major Advisor: Dr. K.V.S. Meena Kumari<br />
Department of Seed Science & Technology<br />
Among all the biotic and abiotic factors, seed setting is the major constraint for seed production.<br />
Being oilseed crop, the storage potential of sunflower seed is for a limited period. The experimental material<br />
comprised four male sterile lines and ten restorer lines. Forty hybrids were produced on crossing four CGMS<br />
lines with ten restorer lines and studied for quantitative characters viz., seed setting (%), seed yield/plant (g)<br />
test weight, oil content. Two hybrids, KBSH-1 and DRSH-1 were packed in four containers under ambient<br />
conditions of Seed Research and Technology Centre, Rajendranagar, Hyderabad and observations were<br />
recorded on seed quality parameters viz., germination percentage, vigour index, seed health, electrical<br />
conductivity, seed moisture percentage at biomonthly intervals for a 10 months.<br />
Among all the genotypes, DRS-1 recorded minimum days to 50 per cent flowering. Among the<br />
restorer lines, DRS-2 followed by DRS-1, DRS-6, DRS-7 produced highest quantity of pollen and when these<br />
were crossed with CGMS lines viz., 7-1A, 234A, 1-A, 4-A produced hybrids with higher seed set per cent,<br />
seed yield/plant. Irrespective of restorer lines, male sterile line, 7-1A pollinated with restorer lines produced F 1<br />
hybrids with higher seed set (%), seed yield/plant and test weight.<br />
Among different dormancy breaking treatments GA 3<br />
@ 300 ppm followed by ethrel @ 25 ppm and<br />
KNO 3<br />
@ 0.2% was found most effective for both hybrids viz., KBSH-1 and DRSH-1.<br />
The germination percentage and other seed quality attributes decreased gradually with increased<br />
period of seed storage. Seed packed in moisture impervious containers like aluminium foil pouch and tyvek<br />
bag were found effective for storagibility for improving the shelf-life of seed as against cloth bag for ten months<br />
of storage period.<br />
Growth and Supply Response of Groundnut In Rayalaseema Districts of<br />
Andhra Pradesh<br />
Student: S. Mailerinathan<br />
Major Advisor: Sri G. Krishnakanth<br />
Department of Statistics & Mathametics<br />
The growth and supply response of groundnut Rayalaseema districts of Andhra Pradesh, were<br />
studied by using the time series data from 1970-71 to 2002-03. The growth pattern was examined by fitting an<br />
exponential function (Y = AB 1 ) and the supply response was evaluated by applying Nerlovian Lagged Adjustment<br />
model separately for area, production and yield in the respective seasons.<br />
The overall growth pattern of groundnut in Kharif season indicated an upward trend in respect of<br />
area and production in all the Rayalaseema districts except Chittoor district with respect to production.<br />
The Kharif season area response function of groundnut revealed that the impact of previous year’s<br />
price of the groundnut sowing period rainfall and the lagged area on the current year’s area allocation were<br />
significantly positive in all the districts except the sowing period rainfall in Kurnool district and previous year’s<br />
price in Chittoor district where, those impacts were only positive.<br />
81
ABSTRACTS<br />
In rabi season area response, the impact of previous year’s price of groundnut and lagged area<br />
under groundnut were significantly positive in all the districts except Kurnool district where, lagged area under<br />
groundnut showed non significant positive impact.<br />
In case of Kharif season production response functions of groundnut, the influence of previous<br />
year’s price, production lagged by one year, sowing period rainfall and South West Monsoon were positive in<br />
all the districts except Ananthapur and Chittoor district, those exhibited a negative influence in lagged year<br />
production and a significantly negative influence in the previous year’s price respectively.<br />
The rabi season production response function of groundnut revealed that previous year’s price and<br />
production were the key factors in determining the production of groundnut in all the four districts with the<br />
significant influence of price in Chittoor and Kuddapah districts.<br />
The Kharif season yield response function of groundnut exhibited that the influence of South West<br />
Monsoon was significantly positive in all the districts except Kurnool district where, it was a non significant<br />
positive influence.<br />
In rabi season, the yield response of groundnut revealed that the previous year’s price had significantly<br />
positive impact on current year’s yield except Ananthapur district where, it was only positive impact.<br />
In respect of area, there were positive price elasticities of groundnut in both the seasons in all the<br />
districts except Chittoor district in Kharif season area, which indicates that farmers of all districts except<br />
Chittor district were more responsive to price changes in the long run.<br />
In Kharif season yield response of groundnut price elasticities revealed that Kurnool district farmers<br />
experienced good yield by adopting yield improving technologies besides responding to price changes.<br />
The coefficient of adjustment for groundnut, in kharif season was highest in Ananthapur and Kuddapah<br />
districts for area response.<br />
In case of rabi season, the coefficient of adjustment was highest in Kurnool district for area and<br />
production. But for yield response, it was highest in Ananthapur district followed by Chittoor district. This<br />
indicates that the above-mentioned districts farmers were keen on improving yield to get more profit.<br />
Studies on Planting Geometry and Intercropping in Sugarcane<br />
Student: M.B.G.S. Kumari Major Advisor: Dr. P. Maheshwara Reddy<br />
Department of Agronomy<br />
A field experiment entitled “Studies on Planting Geometry and Intercropping in Sugarcane” was<br />
conducted for two consecutive years during 2002-03 and 2003-04 at Regional Agricultural Research Station,<br />
Anakapalle to find out the suitable planting geometry of sugarcane to accommodate various intercrops for<br />
enhancing the productivity and profitability of sugarcane based intercropping system. The experiment was<br />
laid out in spilt plot design, replicated thrice.<br />
The treatments comprised three planting geometries (M 1<br />
: Normal planting of sugarcane with 80 cm<br />
between rows, M 2<br />
: Paired row planting of 40/120 cm and M 3<br />
: Wide row planting of 160 cm, by placing two<br />
budded setts horizontally) assigned to main plots and five intercrops (C 1<br />
: Maize, C 2<br />
: coriander for leafy<br />
vegetable, C 3<br />
: greengram, C 4<br />
: soybean, C 5<br />
: coriander for leafy vegetable followed by ginger) and Sole crop<br />
of sugarcane (C 6<br />
) allocated to sub plots. The intercrops were raised by adjusting inter and intra row spacing<br />
of respective crops to accommodate 100 per cent recommended plant population.<br />
Varied planting geometry of sugarcane as well as intercropping with different crops exerted variable<br />
influence on the growth, yield and quality of sugarcane, while the interaction effect was not statistically<br />
traceable with respect to any of the parameters studied.<br />
82
ABSTRACTS<br />
Either varied planting geometry or intercropping with different crops did not exert any significant<br />
influence on the germination per cent of sugarcane. The highest tiller population at 120 DAP as well as 270<br />
DAP and highest number of millable canes at harvest were noticed with paired row planting (M 2<br />
), which were<br />
comparable with normal row planting (M 1<br />
), while they were found to be the lowest with wide row planting (M 3<br />
).<br />
Sole crop of sugarcane (C 6<br />
) resulted in the highest tiller population at 120 DAP and at 270 DAP,<br />
highest number of lengthiest millable canes ha -1 , while all the above mentioned parameters were at their lowest<br />
with intercropping of maize with sugarcane (C 1<br />
). Either varied planting geometries of sugarcane or intercropping<br />
with different crops did not exert any significant influence on the number of internodes cane -1 , length of<br />
internode and single cane weight during both the years of study and girth of the cane during the first year of<br />
study.<br />
Cane yield was the highest under paired row planting (M 2<br />
), which was comparable with normal row<br />
planting (M 1<br />
). The lowest cane yield was produced with wide row normal row planting (M 3<br />
). Sole crop of<br />
sugarcane (C 6<br />
) produced the highest cane yield, which was on par with coriander (C 2<br />
) or greengram (C 3<br />
)<br />
intercropped with sugarcane. Intercropping of maize (C 1<br />
) resulted in the lowest cane yield.<br />
Sucrose content of cane at harvest, CCS and juice purity were not significantly influenced by either<br />
with planting geometry or intercropping. Different planting geometries did not exert any significant influence on<br />
post harvest soil available nutrient status. The highest cane equivalent yield of the cropping system was<br />
noticed with paired row planting (M 2<br />
), which was comparable with normal planting (M 1<br />
). Wide row planting (M 3<br />
)<br />
resulted in the lowest cane equivalent yield.<br />
Varied planting geometries of sugarcane did not exert any significant influence on the post harvest<br />
status of soil available nitrogen, phosphorus and potassium.<br />
The highest gross as well as net returns and B: C ratio was registered with paired row planting of<br />
sugarcane (M 2<br />
), which were comparable with normal row planting (M 1<br />
). Wide row planting (M 3<br />
) resulted in the<br />
lowest gross returns, net returns and B:C ratio.<br />
Intercropping of coriander followed by ginger (C 5<br />
) resulted in the highest gross as well as net<br />
returns. The lowest gross and net returns were registered with intercropping of coriander with sugarcane (C 2<br />
),<br />
which were comparable with the sole crop of sugarcane (C 6<br />
) and the net returns were not comparable<br />
between sole crop of sugarcane (C 6<br />
) and coriander intercropped with sugarcane (C 2<br />
) during the first year of<br />
study. Intercropping of greengram (C 3<br />
) resulted in the highest B:C ratio, whereas, coriander intercropped with<br />
sugarcane (C 2<br />
) resulted in the lowest B:C ratio.<br />
In conclusion, it could be inferred from the study that paired row system of planting of sugarcane<br />
could be preferred owing to its higher cane and sugar yield as well as higher net returns. Intercropping of<br />
ginger can be suggested for realizing higher net returns, while Intercropping of greengram can be suggested<br />
for sustained soil fertility, without any conspicuous discount in economic returns. The total productivity of<br />
sugarcane intercropping system can be enhanced by intercropping with greengram in the paired rows of<br />
sugarcane.<br />
Studies on Organic Farming in Maize – Sunflower – Greengram Cropping System<br />
Student: K. Tejeswara Rao<br />
Major Advisor: Dr. D. Srinivasulu Reddy<br />
Department of Agronomy<br />
Investigations entitiled “Studies on Organic Farming in Maize – Sunflower – Greengram Cropping<br />
System” were carried out for two consecutive years (2003-04 and 2004-05) at S.V. Agricultural College Farm<br />
(ANGRAU), Tirupati (Southern Agro-Climatic Zone of Andhra Pradesh). In these investigations, maize was<br />
grown during late Kharif season and sunflower during late rabi. Greengram was raised as residual crop during<br />
summer. The experiment was laid out in a randomized block design, replicated thrice and the same layout was<br />
83
ABSTRACTS<br />
followed during both the years of study. There were fourteen treatments comprising six different sources of<br />
nitrogen viz., farm yard manure, vermicompost, neem leaf, poultry manure, pig manure and fertilizer to supply<br />
recommended dose of nitrogen on equal nitrogen basis and one treatment of no manuring through any source.<br />
All the seven treatments were tried with or without the foliar application of panchagavya, thus making the total<br />
treatments to fourteen. The treatments were imposed to maize and sunflower crops, while their residual effect<br />
was studied on succeeding greengram crop without imposing any treatments. The test cultivars of maize,<br />
sunflower and greengram were DHM-103, MSFH-17 and LGG-460, respectively. Various parameters of the<br />
three crops in the cropping system and the system as a whole was influenced differently by varied manurial<br />
practices tried. The highest phosphorus uptake of maize was recorded with poultry manure, while the potassium<br />
uptake was the highest with vermicompost. The highest benefit-cost ratio was recorded with poultry<br />
manure in combination with panchagavya spray, which was however, comparable with poultry manure alone<br />
or farm yard manure along with panchagavya spray. All the growth and yield attributes, yield, nutrient uptake,<br />
harvest index, grain quality parameters and economic returns of maize were at their lowest with non-manuring<br />
through any source, which were statistically similar to those with foliar application of panchagavya alone.<br />
All the growth and yield attributes, yield (seed as well stalk) harvest index , nitrogen uptake and<br />
gross returns as well as net returns of sunflower were at their best with recommended dose of fertilizer either<br />
with or without panchagavya spray. The highest phosphorus uptake of sunflower was recorded with poultry<br />
manure wither with or without the spray of panchagavya, while the potassium uptake was the highest with<br />
vermicompost either with or without spray of panchagavya. All the growth and yield attributes, yield, nutrient<br />
uptake, harvest index, oil content of the seed and economic returns of sunflower were at their lowest with<br />
nonmanuring through any source, which were statistically similar to those with foliar application of panchagavya<br />
alone.<br />
All the growth and yield attributes, yield (seed as well as haulm), harvest index, gross returns, net<br />
returns and benefit-cost ratio of greengram were at their best with the residual effect of poultry manure either<br />
with or without the use of panchagavya. The highest phosphorus uptake of greengram was recorded with the<br />
residual effect of poultry manure either with or without the spray of panchagavya, while the potassium uptake<br />
was the highest with vermicompost either with or without the spray of panchagavya.<br />
All the growth and yield attributes, yield, nutrient uptake, harvest index, protein content of the seed<br />
and economic returns of greengram were at their lowest with the residual effect of non-manuring through any<br />
source to either maize or sunflower, which were statistically similar to those with foliar application of<br />
panchagavya alone to the preceding two crops.<br />
The highest biomass production and economic yield (maize grain equivalent yield) by the cropping<br />
system was produced with recommended dose of fertilizer in combination with spray panchagavya applied to<br />
maize and sunflower.<br />
The highest gross and net returns from the cropping system were realized with recommended dose<br />
of fertilizer in combination with panchagavya applied to maize and sunflower.<br />
Performance of the cropping system in terms of productivity and economic returns was obviously<br />
the poorest with non-manuring through any source to any of the crops in the cropping system, which was<br />
statistically similar to that with foliar application of panchagavya alone to maize and sunflower.<br />
Regarding the dynamics of various soil fertility parameters viz., soil organic carbon, available<br />
nitrogen, available phosphorus and available potassium, all of them were found built up to a considerable<br />
extent with the use of organic manures to maize and sunflower, while the application of fertilizer to maize and<br />
sunflower could just maintain the soil fertility status with neither considerable replenishment nor deterioration.<br />
In conclusion, it can be inferred from the investigation that maize crop can be sustained with the farm<br />
yard manure or pig manure or vermicompost along with foliar application of panchagavya. Sunflower crop can<br />
be sustained with the neem leaf manure or poultry manure along with foliar spray of panchagavya as pure<br />
organic additives, as they performed nearly equal with that of recommended dose of fertilizers. In case of<br />
residual effect of organic manures on greengram, poultry manure performed better over others. Considering<br />
the cropping system as a whole, maize- sunflower greengram cropping system can be sustained with organic<br />
84
ABSTRACTS<br />
manures along with combination of panchagavya not only in terms of productivity and economic returns, but<br />
also in terms of sustaining the soil fertility status at fairly high level. Supply of N through exclusive organic<br />
sources could nearly meet the crop demand for nutrient and performed equally with that of recommended<br />
dose of fertilizer. Foliar application of panchagavya seems to be promising in improving the productivity and<br />
quality of maize and sunflower crops.<br />
Studies on Contingent Cropping in Drylands<br />
Student: U. Obulamma<br />
Major Advisor: Dr. P. Maheswara Reddy<br />
Department of Agronomy<br />
Field experiments were conducted at S.V. Agricultural College Farm, Tirupati campus of Acharya<br />
N.G.Ranga Agricultural University for two consecutive kharif seasons of 2000 and 2001 under rainfed conditions<br />
to study the alternative and contingent crops for the late onset of monsoon in Rayalaseema region of<br />
Andhra Pradesh. The present investigation was laidout in a spilt-plot design with five replications. The treatments<br />
comprised four dates of sowing viz., July second fortnight (D 1<br />
), August first fortnight (D 2<br />
), August<br />
second fortnight (D 3<br />
) and September first fortnight (D 4<br />
) allocated to main plots and six crops viz., groundnut<br />
(C 1<br />
), greengram (C 2<br />
), redgram (C 3<br />
) castor (C 4<br />
), sunflower (C 5<br />
) and clusterbean (C 6<br />
) allotted to sub plots.<br />
The results indicated that the plant height, LAI and drymatter accumulation at all the stages of<br />
groundnut were highest with July second fortnight sowing which were on par with August first fortnight sowing<br />
during both the years.<br />
At all the crop growth stages of observation, plant height and LAI of greengram did not differ due to<br />
time of sowing during both the years. The highest drymatter was accumulated during July second fortnight<br />
sowing which was on par with August first fortnight sowing. The yield attributes of greengram viz., number of<br />
pods plant -1 , number of seeds pod -1 during first year were the highest with July second fortnight sowing which<br />
were on par with August first fortnight sowing.<br />
During first year, the highest seed and haulm yield of greengram were produced with July second<br />
fortnight sowing and they were at their lowest with September first fortnight sowing. However, while during<br />
second year, there was no significant difference in seed and haulm yield.<br />
The tallest plants, the highest LAI and drymatter production of redgram were recorded with July<br />
second fortnight sowing during both the years. All the yield attributes of redgram viz., number of pods plants -<br />
1<br />
, number of seeds pod -1 , hundred pod weight and hundred seed weight were significantly the highest with July<br />
second fortnight sowing during both the years.<br />
Castor crop recorded the tallest plants, largest LAI and highest drymatter accumulation during July<br />
second fortnight sowing which were on par with August first fortnight sowing during both the years,. The<br />
highest number of spikes plant -1 , capsules spike -1 of castor were observed with July second fortnight sowing<br />
and were on par with August first fortnight sowing.<br />
During first year, the tallest plants, largest LAI and highest drymatter of sunflower was produced with<br />
July second fortnight sowing which was on par with August first fortnight sowing. However, while during<br />
second year, the highest plant height, LAI and drymatter accumulation was attained with September first<br />
fortnight sowing which was on par with August second fortnight sowing.<br />
During first year, the highest plant height, largest LAI and highest drymatter production of clusterbean<br />
was attained with July second fortnight which were on par with August second fortnight sowing at all the growth<br />
stages. During second year, the highest plant height and LAI were with July second fortnight sowing and<br />
lowest were with September first fortnight sowing.<br />
85
ABSTRACTS<br />
The highest drymatter productions of all crops were highest with July second fortnight sowing during<br />
both the years. Among all the crops tried,redgram registered the highest drymatter production. As regards the<br />
interaction, the highest drymatter production was attained when redgram was sown during july second<br />
fortnight the highest groundnut pod equivalent yields of all crops was sowing altained with july second fortnight<br />
sowing during both the year. During both the years, highest gross and net returns were obtained during July<br />
second fortnight sowing. Among the various crops tried, redgram recorded the highest gross and net returns<br />
during both the years.<br />
The higher Benefit – cost ratio was recorded when all the crops were sown during July second<br />
fortnight.<br />
During both the years, the highest N, P and K uptake was recorded when all the crops were sown<br />
during July second fortnight. During both the years, the highest post harvest organic carbon and available<br />
nitrogen were recorded with July second fortnight sowing. Post harvest soil available P 2<br />
0 5<br />
was highest during<br />
July second fortnight sowing during second year.<br />
As regards the interaction effect, there was no significant difference in post harvest organic carbon<br />
available N, P 2<br />
O 5<br />
and K 2<br />
O during both the years.<br />
In conclusion, the present study has revealed that redgram performed better that groundnut even<br />
under normal and delayed onset of monsoons. In areas where labour availability is cheaper, and high marketable<br />
price as vegetable, clusterbean also performs better even under delayed sowings. So redgram, clusterbean<br />
can be introduced as a contingent crop to groundnut when the onset of monsoon is later for the Rayalaseema<br />
region of Andhra Pradesh. For small and marginal farmer with meagre resources, castor can be suggested as<br />
an alternative crop to groundnut under normal and delayed sowings provided plant protection is carried out<br />
effectively.
CONTENTS<br />
PART I : PLANT SCIENCE<br />
Page No.<br />
Studies on growth performance of jatropha (jatropha curcas L.) 1<br />
under pruning and sources of nutrients<br />
K. MURALI KRISHNA, G.NEERAJA PRABHAKAR, M.V.R. SUBRAHMANYAM<br />
and A. SIVA SANKAR<br />
Red stripe disease in rice (Oryza sativa L.) - an overview 5<br />
S. KRISHNAM RAJU, K. VIJAY KRISHNA KUMAR, M. R. B. RAJU and HARI SUDINI<br />
Effect of irradiation on shelf life and microbiological quality of mangoes 14<br />
(mangifera indica L.)<br />
P. PRABHU PRASADINI, MD. AJAZ ALI KHAN and P. GOPAL REDDY<br />
Combining ability and heterosis for fruit yield and yield components in 24<br />
ridge gourd (luffa acutangula L.)<br />
B.NEERAJA PRABHAKAR<br />
PART II : SOCIAL SCIENCE<br />
Awareness and adoption of cotton (gossypium hirsutum L.) integrated 33<br />
pest management practices by the farmers of warangal district in Andhra Pradesh<br />
G. SIVANARAYANA, M. RAMADEVI and P. VENKATA RAMAIAH<br />
Zonation of rabi sorghum (sorghum bicolor L. Moench) area of Maharashtra 41<br />
on the basis of potential yield<br />
V. RAVI KUMAR, S.R. KUMAR and M. ANJI REDDY<br />
PART III : RESEARCH NOTES<br />
Transient gus gene expression in safflower (carthamus tinctorius L.) 49<br />
using particle bombardment<br />
B. JYOTHI, N. A ANSARI and M. SUJATHA<br />
Membrane thermostability test as an indication of heat tolerance in 54<br />
wheat (triticum aestivum L.em.thell.)<br />
S.R. REDDY, A.K. CHHABRA, R.K. BEHL and N.P.E. REDDY<br />
Utilization of health services and immunizational status of gramasiri families 57<br />
V. SANTHI SRI KOTAMAMBA and P.YASHODA DEVI<br />
Heterosis and inbreeding depression in rabi sorghum 61<br />
(sorghum bicolor L.Moench)<br />
K. JHANSI RANI, S.S. RAO and M. GANESH<br />
Inheritance of grain yield in wheat (triticum aestivum L.em.thell.) under 68<br />
terminal heat stress<br />
S.R. REDDY, A.K. CHHABRA, R.K. BEHL and A.R. KRISHNA<br />
Abstracts
The Journal of Research ANGRAU<br />
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Acharya N.G. Ranga Agricultural University, Rajendranagar, Hyderabad - 500 030<br />
as individual annual/individual life/Institutional annual Membership for Journal of<br />
Research ANGRAU for the calendar year (January - December) ..................<br />
S.No. Name of the Address for Name of the article Signature<br />
authors Correspondence contributed<br />
1.<br />
2.<br />
3.<br />
4.<br />
Note : The receipt of payment will be sent only if a self addressed and stamped envelope<br />
is enclosed along with your DD.
GUIDELINES FOR THE PREPARATION OF MANUSCRIPT<br />
1. Title of the article should be short, specific, phrased to identify the content and indicate<br />
the nature of study.<br />
2. Names should be in capitals prefixed with initials and separated by commas. For more<br />
than two authors the names should be followed by ‘and’ in small letters before the end<br />
of last name. Full address of the place of research in small letters should be typed<br />
below the names. Present address and E-mail ID of the author may be given as foot<br />
note.<br />
3. The full length paper should have the titles ABSTRACT, MATERIALS AND METHODS,<br />
RESULTS AND DISCUSSION, REFERENCES-all typed in capitals and bold font - 12.<br />
The research note will have only one title REFERENCES.<br />
4. ABSTRACT: The content should include the year, purpose, methodology and salient<br />
findings of the experiment in brief not exceeding 200 words. It should be so framed<br />
that the reader need not refer to the article except for details.<br />
5. INTRODUCTION : Should be without title and indicate the reasons which prompted the<br />
research, objectives and the likely implication. The review of recent literature should<br />
be pertinent to the problem. The content must be brief and precise.<br />
6. MATERIALS AND METHODS : Should include very clearly the experimental techniques<br />
and the statistical methods adopted. Citation of standard work is sufficient for the well<br />
known methods.<br />
7. RESULTS AND DISCUSSION : Great care should be taken to highlight the important<br />
findings with support of the data well distinguished by statistical measures like CD, r,<br />
Z test etc. Too descriptive explanation for the whole data is not desirable. The treatments<br />
should be briefly expressed instead of abbreviations like T 1<br />
, T 2<br />
etc. The discussion<br />
should be crisp and relate to the limitations or advantages of the findings in comparison<br />
with the work of others.<br />
8. REFERENCES : Literature cited should be latest. References dating back to more<br />
than 10 years are not desirable. Names of authors, their spelling and year of<br />
publication should coincide both in the text and references. The following examples<br />
should be followed while listing the references from different sources.<br />
Journals and Bulletins<br />
Abdul Salam, M and Mazrooe, S.A. 2007. Water requirement of maize (Zea mays L.) as<br />
influenced by planting dates in Kuwait. Journal of Agrometeorology. 9 (1) : 34-41
Hu, J., Yue, B and Vick, B.A. 2007. Integration of trap makers onto a sunflower SSR<br />
marker linkage map constructed from 92 recombinant inbred lines. Helia.<br />
30 (46) :25-36.<br />
Books<br />
AOAC. 1990. Official methods of analysis. Association of official analytical chemists.<br />
15 th Ed. Washington DC. USA. pp. 256<br />
Federer, W.T. 1993. Statistical design and analysis for intercropping experiments. Volume<br />
I: two crops. Springer – Verlag, Cornell University, Ithaca, New York, USA.<br />
pp. 298-305<br />
Thesis<br />
Ibrahim, F. 2007. Genetic variability for resistance to sorghum aphid (Melanaphis sacchari,<br />
Zentner) in sorghum. Ph.D. Thesis submitted to Acharya N.G. Ranga Agricultural<br />
University, Hyderabad.<br />
Seminars / Symposia / Workshops<br />
Naveen Kumar, P.G. and Shaik Mohammad 2007. Farming Systems approach – A way<br />
towards organic farming. Paper presented at the National symposium on integrated<br />
farming systems and its role towards livelihood improvement. Jaipur, 26 – 28<br />
October 2007. pp.43-46<br />
Proceedings of Seminars / Symposia<br />
Bind, M and Howden, M. 2004. Challenges and opportunities for cropping systems in a<br />
changing climate. Proceedings of International crop science congress. Brisbane –<br />
Australia. 26 September – 1 October 2004. pp. 52-54<br />
(www.cropscience 2004.com 03-11-2004)<br />
Tables and Graphs : The data in tables should not be duplicated in graphs and vice versa.<br />
Mean data for main treatment effects should be presented with appropriate SE± and<br />
CD values wherever necessary. The 2 or 3 way tables should be furnished only if<br />
the results are consistent over years and are distinguished to have consideration of<br />
significant practical value. SE± and CD values however, should be furnished in the<br />
tables for all interactions and should be explained in the results and discussion. The<br />
treatments should be mentioned atleast in short forms if they are lengthy, but not<br />
abbreviated as T 1<br />
, T 2<br />
and T 3<br />
etc. The weights and measures should be given in the<br />
metric system following the latest units eg. kg ha -1 , kg ha –1 cm, mg g -1 , ds m -1 , g m -<br />
3<br />
, C mol kg -1 etc.
Typing : The article should be typed in 12 pt font on A 4<br />
size paper leaving a margin of 5 cm<br />
on all sides. There should be a single line space between the rows in abstract and<br />
double line in rest. Check up the manuscript thoroughly for errors before submitting<br />
it for publication.<br />
Note : Latest issue of the Journal may be consulted. Further details can be obtained from<br />
the book “Editors style Manual, edn 4. American Institute of Biological Sciences,<br />
Washington DC”.<br />
Website : www.angrau.net<br />
ESSENTIAL REQUIREMENTS FOR CONSIDERATION OF PUBLICATION OF ARTICLES<br />
1. Research of not less than 2 years and of high standard will be considered as full<br />
length paper. If necessary, it will be considered for short communication.<br />
2. Research of one year should be submitted in the style and format of short<br />
communication.<br />
3. The total number of pages should not exceed 10 for full paper and 5 pages for short<br />
communication including tables and figures. The figures should be legible.<br />
4. Old research which terminated 5 years before the date of submission will not be<br />
considered.<br />
5. All the authors should subscribe for the Journal<br />
6. The manuscript should be submitted in triplicate as per the guidelines of the Journal<br />
to The Editor, The Journal of Research ANGRAU, Room No. 307, E – Block, College<br />
of Agriculture, Rajendranagar, Hyderabad – 500 030.<br />
7. The manuscript should accompany the declaration certificate and subscription<br />
enrolment form.<br />
8. The authors should accept the editorial / referees comments until the quality of<br />
the paper is improved.<br />
9. The revised manuscript should be submitted in duplicate along with a compact disk.<br />
REVIEW PROCESS<br />
The article will be initially screened by the editors. It will be sent to an expert for<br />
peer review only if it contains adequate original information and is prepared as per the<br />
guidelines. The author, then, may also be asked to revise it if the expert so desires.<br />
After getting the article suitably revised and edited, it will be placed before the editor for<br />
a final decision. The accepted article will be finally checked for language and grammar<br />
by the English editor before being sent to the press. The decision however to publish<br />
the paper lies with the editor even if the article is approved by the expert. Any article<br />
which is not able to meet the expected standard or is not prepared in conformity with<br />
guidelines will be rejected without assigning any reason.