Assessment of Correlation and Path Analysis for Seed Yield and its Component Characters in Greengram [Vigna radiata (L.) Wilczek]
Mitali Srivastava *
Department of Genetics & Plant Breeding, SVPUA&T, Meerut, India.
Manojkumar H. G.
Department of Genetics & Plant Breeding, UAS, Dharwad, India.
Atar Singh
Department of Genetics & Plant Breeding, SVPUA&T, Meerut, India.
*Author to whom correspondence should be addressed.
Abstract
The present study was carried out during Kharif season 2021 at Crop Research Center (C.R.C), Sardar Vallabhbhai Patel University, Meerut. In the present study, twelve yield and yield related parameters have been studied in 25 diverse genotypes of greengram. The mean sum of squares for genotypes were highly significant for all the traits. In this experiment for majority of cases the genotypic correlation coefficient values was higher than the phenotypic values indicating that the phenotypic expression of correlation was influenced by environment. Seed yield/plant had a highly significant and positive correlation both at genotypic and phenotypic level with number of pods/plant, number of seeds/pod, biological yield and harvest index. Days to 50% flowering, days to maturity, plant height, number of branches/plant, number of pods/cluster and 1000 seed weight exhibited a non-significant correlation with seed yield. In this investigation seed yield per plant was dependent variable and rest of the characters were independent variables. Genotypic and phenotypic path coefficient analysis of seed yield/plant and its component attributes showed that highest positive direct effect towards seed yield/plant was observed by biological yield, harvest index, number of seeds/pod, number of pods/plant, days to 50% flowering, pod length, days to maturity and plant height. Seed yield/ plant could be improved by selection based on these traits.
Keywords: Greengram, correlation, path analysis