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
CORRELATION AND PATH COEFFICIENT ANALYSIS FOR YIELD Table 2. Genotypic (G) and phenotypic(P) direct and indirect effects among grain yield, its components and physiological traits in F 1 hybrids of rice under saline soils Residual effect =0.08005 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. 112
SUDHARANI et al At genotypic level, number of total tillers plant -1 (1.0876) exhibited highest positive effect on yield (Table 2), while substantial magnitude of positive direct effect was also exerted by spikelet fertility (0.4417). On the other hand, moderate direct effects were shown by SES for visual salt injury (0.2692) and root shoot ratio (0.2927). The direct effects of productive tillers plant -1 (-0.5877), panicle length (-0.3681) and panicle weight (-0.3495) were high, but negative, while moderate influence in the same direction was exhibited by SPAD chlorophyll meter readings (-0.2290). The direct positive effects on yield were reported for number of grains panicle -1 (Sajjad, 1990), harvest index (Tripathi et al., 2011) and productive tillers plant -1 (Natarajan et al., 2005 and Tripathi et al., 2011). Therefore, more emphasis may be given to spikelet fertility per cent and number of tillers plant -1 while executing selections under saline soil conditions. The results of present investigation indicate selection under saline condition would be effective for number of total tillers per plant, spikelet fertility per cent as they showed significant positive association as well as direct effect on yield. Similarly, selecting the plants with low Na + /K + ratio would help for yield improvement along with salt tolerance as this trait showed significant negative association as well as negative direct effect on grain yield under stressed conditions Hence, these traits may be prioritized for developing ideotype(s) for saline environment. REFERENCES Al-Jibouri, H.A., Miller, P.A and Robinson, H.F. 1958. Genotypic and environmental variances and co-variances in an upland cotton cross of interspecific origin. Agronomy Journal. 50: 633- 636. Asch, F., Dingkunn, M., Dorffling, K and Miezank. 2000. Leaf K/N ratio predicts salinity induced yield loss in irrigated rice. Euphytica. 113: 109- 118. Balan, A., Muthiah, A.R and Boopathi, S.N.M.R. 1999. Genetic variability, character association and path coefficient analysis in rainfed rice, under alkaline condition. Madras Agricultural Journal. 86 (1/3): 122-124. Bala, A. 2001. Genetic variability, association of characters and path coefficient analysis of saline and alkaline rice genotypes under rainfed condition. Madras Agricultural Journal. 88(4- 6): 356-357. Buu, C.B and Tuan, T.M. 1991. Genetic study in the F 2 crosses for high grain quality. International Rice Research Newletter. 16: 11. Dewey, D.R and Lu, K.N. 1959. Correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal. 51: 515-518. Fisher. R.A and Yates, F. 1963. Statistical Tables for Biological, Agricultural and Medical Research (6 th Edition), Hafner Publishing Company, New York, Natarajan, S.K., Saravanan, S., Krishnakumar, S and Dhanalakshmi, R. 2005b. Interpretations on association of certain quantitative traits on yield of rice (Oryza sativa L.) under saline environment. Research Journal of Agriculture and Biological Sciences. 1(1): 101-103. Ravindra Babu, V. 1996. Study of genetic parameters, correlations and path coefficient analysis of rice (Oryza sativa L.) under saline conditions. Annals of Agricultural Research. 17(4): 370- 374. Sajjad, M.S. 1990. Correlations and path coefficient analysis of rice under controlled saline environment. Pakistan Journal of Agricultural Research. 11(3): 164-168. Singh, P. K and Chaudhary, B. D.1985. Biometrical Methods in Quantitative Genetic Analysis (1 st Edition), Kalyani Publishers, New Delhi, India. Tripathi, S., Verma, O.P., Dwived, D.K., Yadavendra Kumar., Singh, P.K and Verma, G.P. 2011. Association studies in Rice (Oryza Sativa L.) hybrids under saline alkaline environment. Environment and Ecology. 29(3) 1557-1560. Wright, S. 1921. Correlation and causation. Journal of Agricultural Research. 20: 557-585 Zeng, L and Shannon, M.C. 2000. Salinity effects on seedling growth and yield components of rice. Crop Science. 40: 996-1003. 113
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SUDHARANI et al<br />
At genotypic level, number <strong>of</strong> total tillers plant -1<br />
(1.0876) exhibited highest positive effect on yield<br />
(Table 2), while substantial magnitude <strong>of</strong> positive<br />
direct effect was also exerted by spikelet fertility<br />
(0.4417). On the other hand, moderate direct effects<br />
were shown by SES for visual salt injury (0.2692)<br />
and root shoot ratio (0.2927). <strong>The</strong> direct effects <strong>of</strong><br />
productive tillers plant -1 (-0.5877), panicle length<br />
(-0.3681) and panicle weight (-0.3495) were high, but<br />
negative, while moderate influence in the same<br />
direction was exhibited by SPAD chlorophyll meter<br />
readings (-0.2290). <strong>The</strong> direct positive effects on yield<br />
were reported for number <strong>of</strong> grains panicle -1 (Sajjad,<br />
1990), harvest index (Tripathi et al., 2011) and<br />
productive tillers plant -1 (Natarajan et al., 2005 and<br />
Tripathi et al., 2011). <strong>The</strong>refore, more emphasis may<br />
be given to spikelet fertility per cent and number <strong>of</strong><br />
tillers plant -1 while executing selections under saline<br />
soil conditions.<br />
<strong>The</strong> results <strong>of</strong> present investigation indicate<br />
selection under saline condition would be effective<br />
for number <strong>of</strong> total tillers per plant, spikelet fertility<br />
per cent as they showed significant positive<br />
association as well as direct effect on yield. Similarly,<br />
selecting the plants with low Na + /K + ratio would help<br />
for yield improvement along with salt tolerance as<br />
this trait showed significant negative association as<br />
well as negative direct effect on grain yield under<br />
stressed conditions Hence, these traits may be<br />
prioritized for developing ideotype(s) for saline<br />
environment.<br />
REFERENCES<br />
Al-Jibouri, H.A., Miller, P.A and Robinson, H.F. 1958.<br />
Genotypic and environmental variances and<br />
co-variances in an upland cotton cross <strong>of</strong><br />
interspecific origin. Agronomy <strong>Journal</strong>. 50: 633-<br />
636.<br />
Asch, F., Dingkunn, M., Dorffling, K and Miezank.<br />
2000. Leaf K/N ratio predicts salinity induced<br />
yield loss in irrigated rice. Euphytica. 113: 109-<br />
118.<br />
Balan, A., Muthiah, A.R and Boopathi, S.N.M.R.<br />
1999. Genetic variability, character association<br />
and path coefficient analysis in rainfed rice,<br />
under alkaline condition. Madras Agricultural<br />
<strong>Journal</strong>. 86 (1/3): 122-124.<br />
Bala, A. 2001. Genetic variability, association <strong>of</strong><br />
characters and path coefficient analysis <strong>of</strong><br />
saline and alkaline rice genotypes under rainfed<br />
condition. Madras Agricultural <strong>Journal</strong>. 88(4-<br />
6): 356-357.<br />
Buu, C.B and Tuan, T.M. 1991. Genetic study in the<br />
F 2<br />
crosses for high grain quality. International<br />
Rice <strong>Research</strong> Newletter. 16: 11.<br />
Dewey, D.R and Lu, K.N. 1959. Correlation and path<br />
coefficient analysis <strong>of</strong> components <strong>of</strong> crested<br />
wheat grass seed production. Agronomy<br />
<strong>Journal</strong>. 51: 515-518.<br />
Fisher. R.A and Yates, F. 1963. Statistical Tables<br />
for Biological, Agricultural and Medical<br />
<strong>Research</strong> (6 th Edition), Hafner Publishing<br />
Company, New York,<br />
Natarajan, S.K., Saravanan, S., Krishnakumar, S and<br />
Dhanalakshmi, R. 2005b. Interpretations on<br />
association <strong>of</strong> certain quantitative traits on<br />
yield <strong>of</strong> rice (Oryza sativa L.) under saline<br />
environment. <strong>Research</strong> <strong>Journal</strong> <strong>of</strong> Agriculture<br />
and Biological Sciences. 1(1): 101-103.<br />
Ravindra Babu, V. 1996. Study <strong>of</strong> genetic parameters,<br />
correlations and path coefficient analysis <strong>of</strong><br />
rice (Oryza sativa L.) under saline conditions.<br />
Annals <strong>of</strong> Agricultural <strong>Research</strong>. 17(4): 370-<br />
374.<br />
Sajjad, M.S. 1990. Correlations and path coefficient<br />
analysis <strong>of</strong> rice under controlled saline<br />
environment. Pakistan <strong>Journal</strong> <strong>of</strong> Agricultural<br />
<strong>Research</strong>. 11(3): 164-168.<br />
Singh, P. K and Chaudhary, B. D.1985. Biometrical<br />
Methods in Quantitative Genetic Analysis (1 st<br />
Edition), Kalyani Publishers, New Delhi, India.<br />
Tripathi, S., Verma, O.P., Dwived, D.K., Yadavendra<br />
Kumar., Singh, P.K and Verma, G.P. 2011.<br />
Association studies in Rice (Oryza Sativa L.)<br />
hybrids under saline alkaline environment.<br />
Environment and Ecology. 29(3) 1557-1560.<br />
Wright, S. 1921. Correlation and causation. <strong>Journal</strong><br />
<strong>of</strong> Agricultural <strong>Research</strong>. 20: 557-585<br />
Zeng, L and Shannon, M.C. 2000. Salinity effects on<br />
seedling growth and yield components <strong>of</strong> rice.<br />
Crop Science. 40: 996-1003.<br />
113