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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
The present investigation “Study of Correlation coefficient and path analysis in Different Soybean Genotypes Based on Yield and Yield Contributing Traits” was undertaken to study the interrelation between variables means correlation and path analysis among thirty genotypes of soybean. These genotypes were evaluated during Kharif, 2018 in a randomized block design with three replications. Observations were recorded on days to 50 percent flowering, days to maturity, plant height (cm), number of primary branches per plant, number of pods per plant, number of seeds per pod, 100 seed weight (g), seed yield per plant (g), SPAD value, protein content (%), oil content (%). The genotypic correlation coefficients were high in magnitude than their corresponding phenotypic correlation coefficients for all the characters. The seed yield per plant showed a highly significant positive association with number of pods per plant, number of seeds per pod, 100 seed weight, SPAD value, plant height, days to 50 percent flowering, oil content, number of primary branches per plant and 50 percent flowering at genotypic level. Path coefficient analysis based on genotypic correlation indicate that number of pod per plant (0.5291) registered the maximum positive direct effect on seed yield per plant followed by 100 seed weight (0.4061), number of seeds per pod (0.2882), plant height (0.2111) and days to 50 percent flowering recorded the highest negative direct effect of -0.3126 followed by SPAD value -0.0827, days to maturity -0.0155. The number of primary branches per plant recorded the direct effect but low magnitude (0.0080).