The Journal of Research ANGRAU
Contents of 41(1) 2013 - acharya ng ranga agricultural university Contents of 41(1) 2013 - acharya ng ranga agricultural university
RELATIONSHIP BETWEEN PROFILE OF BENEFICIARY FARMERS & IMPACT Chandrasekhar, V., Gangadharappa, N.R and Suresha, S.V. 2005. Knowledge level farmers about selected technological interventions in TAR-IVLP. Mysore Journal of Agricultural Sciences. 39 (3): 410-414. Damodaran, C. 2007. Irrigation management and socio-economic changes among Cauvery old delta farmers. M.Sc. (Ag.) Thesis submitted to Acharya N G Ranga Agricultural University, Hyderabad, India. Manoj, A. 2008. Impact of Krishi Vigyan Kendra on farmers Srikakulam district of Andhra Pradesh. M. Sc. (Ag.) Thesis submitted to Acharya N G Ranga Agricultural University, Hyderabad, India. Ca Mohammad Ajaz-ul-Islam, Masoodi, N.A., Masoodi, T.H and Gangoo, S.A. 2009. Awareness and participation of beneficiaries in social forestry programme in Baramulla district of Kasmir valley. Indian Journal of Social Research. 50(4): 353-364. Rameshbabu, C. 2002. Effectiveness of Indo-Dutch Operational Research project on drainage and water management for salinity control in Prakasam district of A.P. M. Sc. (Ag.) Thesis submitted to Acharya N G Ranga Agricultural University, Hyderabad, India. Reddy, P.T.S., Prabhakar, K and Gidda Reddy, P. 2007. Analysis of influence of selected independent variables on knowledge of rice farmers on Eco-friendly technologies. Journal of Research ANGRAU. 35 (2): 31-37. Suresh, T.V and Ramesh Babu, C.H. 2008. Extent of participation of farmers in Sujala Kalinganahalli Halla Watershed Project, Andhra Agricultural journal. 55(3): 405-407. Thyagarajan, S. 2004. Rice production technology – adoption and constraints. Indian Journal of Extension Education. 40 (3&4): 44-47. 92
Research Notes J.Res. ANGRAU 41(1) 88-92, 2013 CONSTRUCTION OF SELECTION INDICES FOR F 2 POPULATION DERIVED FROM CROSSES BETWEEN GRAIN SORGHUM × SWEET SORGHUM [Sorghum bicolor (L.) Moench] VEMANNA IRADDI, T. DAYAKAR REDDY, A. V. UMAKANTH, CH. RANI, D. VISHNU VARDHAN REDDY and M. H. V. BHAVE Department of Genetics and Plant Breeding Acharya N.G. Ranga Agricultural University, Hyderabad – 500 030 Date of Receipt : 06.11.2012 Date of Acceptance : 12.12.2012 The selection indices by discriminant function analysis were constructed based on the data of a population of 800 F 2 plants developed by crossing three grain sorghum genotypes viz., 27 B, ICSB 38 and 296 B as a female parent and four sweet sorghum genotypes viz., SSV 84, SSV 74, URJA and NSSV 13 as a male parent. Majority of selection indices were found to be more efficient than straight selection based on sugar yield alone. The selection index consisting of six character combination viz., sugar yield, total biomass, fresh stalk yield, brix per cent, juice yield and total soluble sugars was more effective with higher relative efficiency. While, selection based on five characters combinations viz., sugar yield, total biomass, fresh stalk yield, brix per cent and juice yield as well as four character combination viz., total biomass, fresh stalk yield, brix per cent and juice yield were also equally effective in selection of plants for maximum sugar yield. However, selection index comprising six and five character combinations are of little importance in selection process as it includes derived parameters such as sugar yield and total soluble sugars. In this regard it is suggested to go for four character combination which also manifested maximum relative efficiency coupled with higher genetic advance. The practical or economic value of a plant is affected by several traits. Since, majority of the economic traits are polygenically inherited and their expression is subjected to varying degrees of fluctuations due to environmental factors, eventually direct selection may not be useful for such characters. Efficiency of selection under such circumstances can sometimes be improved by taking into consideration simultaneously the phenotypic values of a number of plant attributes which are correlated with the genotypic values (high heritability) of the characters under consideration. The material for the present study comprised of 800 F 2 population of sweet sorghum crosses derived from parents having low and high sugar content developed at Directorate of Sorghum Research, Rajendranagar, Hyderabad. These populations were developed by crossing the contrasting parents (27 B with SSV 84, ICSB 38 with SSV 74, 296 B with URJA and 27 B with NSSV 13) through hand emasculation and pollination during kharif 2010 and the F 1 plants of the two crosses were grown during rabi 2010 - 11 and selfed to produce the F 2 seeds, which were evaluated during summer 2012. The technique of discriminant function developed by Fisher (1936) was adopted to know the true genotypic worth of yield and its components and to have computational formulae for construction of selection indices which when applied to select plants can bring about effective improvement in yield compared to straight selection for yield. Smith (1936) has illustrated the use of discriminant function in plant selection. Formulation of selection indices through discriminant function analysis Selection indices were formulated in F 2 populations of sweet sorghum considering sugar yield and its five component characters which had high correlation with sugar yield. Among six characters, sugar yield (X 1 ) was considered as dependent character, while other characters viz., total biomass (X 2 ), fresh stalk yield (X 3 ), brix per cent (X 4 ), juice yield (X 5 ) and total soluble sugars (X 6 ) were considered as independent variables. In order to select plants with high sugar yield, discriminant functions were computed with email: vemanraddi@gmail.com 93
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- Page 45 and 46: RAMANA et al RESULTS AND DISCUSSION
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<strong>Research</strong> Notes<br />
J.Res. <strong>ANGRAU</strong> 41(1) 88-92, 2013<br />
CONSTRUCTION OF SELECTION INDICES FOR F 2<br />
POPULATION<br />
DERIVED FROM CROSSES BETWEEN<br />
GRAIN SORGHUM × SWEET SORGHUM [Sorghum bicolor (L.) Moench]<br />
VEMANNA IRADDI, T. DAYAKAR REDDY, A. V. UMAKANTH, CH. RANI,<br />
D. VISHNU VARDHAN REDDY and M. H. V. BHAVE<br />
Department <strong>of</strong> Genetics and Plant Breeding<br />
Acharya N.G. Ranga Agricultural University, Hyderabad – 500 030<br />
Date <strong>of</strong> Receipt : 06.11.2012 Date <strong>of</strong> Acceptance : 12.12.2012<br />
<strong>The</strong> selection indices by discriminant<br />
function analysis were constructed based on the data<br />
<strong>of</strong> a population <strong>of</strong> 800 F 2<br />
plants developed by<br />
crossing three grain sorghum genotypes viz., 27 B,<br />
ICSB 38 and 296 B as a female parent and four sweet<br />
sorghum genotypes viz., SSV 84, SSV 74, URJA<br />
and NSSV 13 as a male parent. Majority <strong>of</strong> selection<br />
indices were found to be more efficient than straight<br />
selection based on sugar yield alone. <strong>The</strong> selection<br />
index consisting <strong>of</strong> six character combination viz.,<br />
sugar yield, total biomass, fresh stalk yield, brix per<br />
cent, juice yield and total soluble sugars was more<br />
effective with higher relative efficiency. While,<br />
selection based on five characters combinations viz.,<br />
sugar yield, total biomass, fresh stalk yield, brix per<br />
cent and juice yield as well as four character<br />
combination viz., total biomass, fresh stalk yield, brix<br />
per cent and juice yield were also equally effective<br />
in selection <strong>of</strong> plants for maximum sugar yield.<br />
However, selection index comprising six and five<br />
character combinations are <strong>of</strong> little importance in<br />
selection process as it includes derived parameters<br />
such as sugar yield and total soluble sugars. In this<br />
regard it is suggested to go for four character<br />
combination which also manifested maximum relative<br />
efficiency coupled with higher genetic advance.<br />
<strong>The</strong> practical or economic value <strong>of</strong> a plant is<br />
affected by several traits. Since, majority <strong>of</strong> the<br />
economic traits are polygenically inherited and their<br />
expression is subjected to varying degrees <strong>of</strong><br />
fluctuations due to environmental factors, eventually<br />
direct selection may not be useful for such characters.<br />
Efficiency <strong>of</strong> selection under such circumstances can<br />
sometimes be improved by taking into consideration<br />
simultaneously the phenotypic values <strong>of</strong> a number<br />
<strong>of</strong> plant attributes which are correlated with the<br />
genotypic values (high heritability) <strong>of</strong> the characters<br />
under consideration.<br />
<strong>The</strong> material for the present study comprised<br />
<strong>of</strong> 800 F 2<br />
population <strong>of</strong> sweet sorghum crosses<br />
derived from parents having low and high sugar<br />
content developed at Directorate <strong>of</strong> Sorghum<br />
<strong>Research</strong>, Rajendranagar, Hyderabad. <strong>The</strong>se<br />
populations were developed by crossing the<br />
contrasting parents (27 B with SSV 84, ICSB 38 with<br />
SSV 74, 296 B with URJA and 27 B with NSSV 13)<br />
through hand emasculation and pollination during<br />
kharif 2010 and the F 1<br />
plants <strong>of</strong> the two crosses were<br />
grown during rabi 2010 - 11 and selfed to produce the<br />
F 2<br />
seeds, which were evaluated during summer 2012.<br />
<strong>The</strong> technique <strong>of</strong> discriminant function<br />
developed by Fisher (1936) was adopted to know the<br />
true genotypic worth <strong>of</strong> yield and its components and<br />
to have computational formulae for construction <strong>of</strong><br />
selection indices which when applied to select plants<br />
can bring about effective improvement in yield<br />
compared to straight selection for yield. Smith (1936)<br />
has illustrated the use <strong>of</strong> discriminant function in plant<br />
selection.<br />
Formulation <strong>of</strong> selection indices through<br />
discriminant function analysis Selection indices<br />
were formulated in F 2<br />
populations <strong>of</strong> sweet sorghum<br />
considering sugar yield and its five component<br />
characters which had high correlation with sugar yield.<br />
Among six characters, sugar yield (X 1<br />
) was<br />
considered as dependent character, while other<br />
characters viz., total biomass (X 2<br />
), fresh stalk yield<br />
(X 3<br />
), brix per cent (X 4<br />
), juice yield (X 5<br />
) and total soluble<br />
sugars (X 6<br />
) were considered as independent<br />
variables. In order to select plants with high sugar<br />
yield, discriminant functions were computed with<br />
email: vemanraddi@gmail.com<br />
93