Vol. 7, Issue 1 (2019)
Genetic variability and correlation analysis in soybean (Glycine max (L.) Merrill) genotypes
Author(s): Himani Guleria, Pankaj Kumar, Bhim Jyoti, Ajay Kumar, Ajay Paliwal and Arunima Paliwal
Abstract: The present investigation was carried out at V.C.S.G. Uttarakhand University of Horticulture and Forestry, College of Forestry, Ranichauri, Tehri Garhwal, Uttarakhand, India during Kharif 2015. The experiment consisted of 20 genotypes along with two checks namely PS-1347 and PS-1092 in Randomized Block Design. The analysis of variance showed highly significant differences for all the characters which indicate that bountiful variability present among the genotypes. The values of PCV were higher than of GCV, but the difference was closer between these two estimates for all the characters means less influenced due to environmental factors. High heritability was observed for yield and contributing characters. The high magnitudes of genetic advance observed for pod length, High heritability along with high genetic advance was observed for pod length, causes additive gene action. The seed yield per plant showed highly significant and positive correlation with plant height, number of cluster per plant, number of pods per plant, number of seeds per pod and 100 seed weight. The genotypes having high variability can be used in soybean breeding and high heritability along with high genetic advance favours for selection in crop improvement programme. Positive correlation of the characters with seed yield is so meaningful for improving yield.
Pages: 1928-1932 | 420 Views 97 Downloads
download (5778KB)
How to cite this article:
Himani Guleria, Pankaj Kumar, Bhim Jyoti, Ajay Kumar, Ajay Paliwal, Arunima Paliwal. Genetic variability and correlation analysis in soybean (Glycine max (L.) Merrill) genotypes. Int J Chem Stud 2019;7(1):1928-1932.
