The Journal of Research ANGRAU

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Research Notes J.Res. ANGRAU 41(1) 105-108, 2013 CORRELATION AND PATH COEFFICIENT ANALYSIS FOR YIELD AND PHYSIOLOGICAL ATTRIBUTES IN RICE (Oryza sativa L.) HYBRIDS UNDER SALINE SOIL CONDITIONS M.SUDHARANI, P.RAGHAVA REDDY, G.HARIPRASAD REDDY and CH.SURENDRA RAJU Seed Research and Technology Centre, Rajendranagar, Hyderabad-500030 Date of Receipt : 21.09.2012 Date of Acceptance : 09.11.2012 Correlation studies and path coefficient analysis were undertaken to know the inter relationship of yield components and physiological parameters related to salt tolerance and their usefulness in selection programmes under salt stress. In the present investigation 28 rice hybrids derived by crossing eight genotypes (RPBio-226, Swarna , CSR-27, CSR-30, CST-7-1, CSRC(S)7-1- 4, SR26-B and CSRC(S)5-2-2-5 in half diallel manner were utilized based on their reaction to salinity tolerance and were evaluated during kharif, 2010 under salt affected soils of Agricultural Research Station, Machilipatnam. Seedlings of 30 days old were transplanted in the main field having electrical conductivity of 7.9 dS/m and pH of 7.7 following randomized block design with three replications. The recommended agronomic, cultural and plant protection measures were followed in conducting the experiment. Genotypic and phenotypic correlation coefficients were calculated among eight parents using the formulae suggested by Al-Jibouri et al. (1958) and their significance was tested by using the ‘r’ table values (Fisher and Yates, 1963) at n-2 degrees of freedom, where ‘n’ denotes the number of treatments used in the calculation. To estimate the direct and indirect effects of the yield components on the yield, the statistical tool employed was path coefficient analysis as suggested by Wright (1921) and illustrated by Dewey and Lu (1959). The path coefficients were obtained by solving the ‘p’ normal equations following the matrix method given by Singh and Chowdhary (1985). In the present investigation, the genotypic and phenotypic correlations amongst the traits followed almost similar trend of association, the former being a little higher in most of the cases, indicating the existence of a strong inherent association between the characters. Further, dissecting these associations as direct and indirect effects through path analysis showed direct contribution of each component trait on yield and indirect effect it has through association on other component traits. The yield component viz., plant height (0.5847), number of tillers plant -1 (0.7789), number of productive tillers plant -1 (0.5753), panicle length (0.8353), panicle weight (0.5500), number of filled grains panicle -1 (0.7809), spikelet fertility per cent (0.7190), 1000-grain weight (0.5399), root/shoot ratio (0.4694) and harvest index (0.8128) were significantly and positively correlated with grain yield (Table 1) in rice hybrids tested under saline conditions. On the other hand Na + /K + ratio and SPAD chlorophyll meter readings exhibited significant negative association with grain yield, while the effect of days to 50 per cent flowering was non-significant. The findings of earlier researchers viz., Bala (2001) for plant height; Zeng and Shannon (2000), Natarajan et al. (2005) for number of tillers plant -1 ; Ravindra Babu (1996), Natarajan et al. (2005) for number of productive tillers plant -1 ; Bala (2001) for panicle length; Buu and Tuan (1991), Ravindra Babu (1996), Natarajan et al. (2005) for number of filled grains panicle -1 ; Natarajan et al. (2005) for 1000-grain weight ; Sajjad (1990) and Balan et al. (1999) for harvest index were in line with the present readings. However, Asch et al. (2000) reported strong negative association of Na + /K + ratio with grain yield which is in agreement with the present findings. Under saline soil conditions plant height, number of tillers plant -1 , productive tillers plant -1 , panicle length, panicle weight, number of filled grains panicle -1 , spikelet fertility per cent, SPAD values and test weight showed strong positive association with grain yield plant -1 under stressed environment. email: madugula.sudharani@yahoo.com 110
SUDHARANI et al Table 1. Genotypic (r g ) and phenotypic (r p ) correlation coefficients among grain yield, its components and physiological traits in F 1 hybrids of rice under saline soils * Significant at p=0.05; ** Significant at p=0.01; PH (cm): Plant height; DFF: Days to 50% flowering; TT: Number of tillers plant -1 ; PT: Number of productive tillers plant -1 ; PL (cm): Panicle length; PW(g): Panicle weight; NFGP -1 : Number of filled grains panicle -1 ; SF (%): Spikelet fertility per cent; TW (g): 1000-grain weight; GY (g): Grain yield (g plant -1 ); SES: SES for visual salt injury; RSR: Root /shoot ratio; HI (%): Harvest index per cent; Na + /K + R: Sodium Potassium ratio; SPAD: SPAD chlorophyll meter reading. 111
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CONTENTS PART I : PLANT SCIENCE Eff
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J.Res. ANGRAU 41(1) 1-4, 2013 EFFEC
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EFFECT OF FOLIAR APPLICATION OF NPK
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J.Res. ANGRAU 41(1) 5-13, 2013 NUTR
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NUTRIENT UPTAKE BY RICE CROP UNDER
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LAKSHMI et al Fig 1. Changes in C/N
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LAKSHMI et al Changes in C/N ratio
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LAKSHMI et al Table 3. Changes in h
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J.Res. ANGRAU 41(1) 20-29, 2013 INF
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PRASAD and PRASADINI of bulk densit
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PRASAD and PRASADINI to as high as
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PRASAD and PRASADINI Table 4 . Infl
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PRASAD and PRASADINI Table 8. Influ
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J.Res. ANGRAU 41(1) 30-38, 2013 GEN
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VEMANNA et al The range in mean val
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VEMANNA et al grain yield per plant
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VEMANNA et al 41
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VEMANNA et al Singh, S. P and Khan,
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RAMANA et al RESULTS AND DISCUSSION
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J.Res. ANGRAU 41(1) 42-46, 2013 A S
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RAJANNA et. al. Table 2. Reasons fo
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RAJANNA et al the present findings
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NARASIMHA et al Table 1. Proximate
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NARASIMHA et al Maynard, L., Lossli
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RAMANA et al with small follicles m
Page 59 and 60: RAMANA et al Characteristics of fol
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Page 63 and 64: KIRTHY et al Akhtar et al., 2008; S
Page 65 and 66: KIRTHY et al El Gharras H. 2009. Po
Page 67 and 68: SANDYARANI et al Weed parameters li
Page 69 and 70: SANDYARANI et al Table 2. Influence
Page 73 and 74: KUMAR et al Table 2. Effect of seed
Page 77 and 78: DEEPAK et al Table 2 Price spread a
Page 81 and 82: YAMINI et al Table 3. Estimates of
Page 83 and 84: YAMINI et al coupled with high per
Page 85 and 86: LOKESH et al Table 1. Clustering pa
Page 87 and 88: LOKESH et al Table 4. Mean values o
Page 89 and 90: ABIRAMI et al Socio-economic Impact
Page 91 and 92: ABIRAMI et al socio-economic impact
Page 95 and 96: VEMANNA et al Table 1. Discriminant
Page 97 and 98: VEMANNA et al total biomass, fresh
Page 99 and 100: RAO et al Table 1. Plant height, nu
Page 103 and 104: DEVI et al S.No Category Frequency
Page 105 and 106: DEVI et al extension contact and ma
Page 107 and 108: NIRMALA and VASANTHA earliness in a
Page 109: NIRMALA and VASANTHA adopted this t
Page 113 and 114: SUDHARANI et al At genotypic level,
Page 115 and 116: NIRMALA et al weight of pods per pl
Page 117 and 118: NIRMALA et al Table 3. Cluster mean
Page 123 and 124: PUNYAVATHI and VIJAYALAKSHMI 6.5 6.
Page 125 and 126: PUNYAVATHI and VIJAYALAKSHMI REFERE
Page 127 and 128: KATTEL et al Table 1. Item Analysis
Page 131 and 132: RADHIKA et al Thus, the results of
Page 133 and 134: RAJU et al estimated daily dietary
Page 135 and 136: RAJU et al Table 3. Physico-chemica
Page 139 and 140: MINNIE et al Table 2. Estimates of
Page 141 and 142: Statement about ownership and other
Page 143 and 144: GUIDELINES FOR THE PREPARATION OF M
Page 145: ESSENTIAL REQUIREMENTS FOR CONSIDER
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