Stability analysis of soybean [Glycine max (L.) Merrill] genotypes under multi-environments rainfed condition of North Western Himalayan hills

Published on Sep 11, 2018 11:24 AM

In the present study, performance of five promising soybean
genotypes over 4 locations during kharif 2013, 2014 and
2015 were investigated using GGE biplot analysis. Location
attributed the highest proportion of the variation for all the
traits except 100 seed weight ranging from 26.97-86.81%
whereas, genotype contributed only 3.01-60.51% and
genotype x location interaction contributed 6.01-31.42% of
total variation. For 100 seed weight genotype has
contributed major proportion of variation (66.26%) than
location (31.08%) and genotype x location interaction
(2.65%). Superior genotypes for key traits viz., grain yield
(VLS 86) and 100 seed weight (Himso 1685) were effectively
identified using GGE biplot graphical approach. It may be
stated from present study that, VLS 86 was the closest to
ideal genotype with stability for high grain yield as well as
earliness. ‘Which-won-where’ study partitioned the testing
locations into two mega-environments: first with three
locations with VLS 86 as the winning genotype; second
mega environment encompassed only one location with
Himso 1685 as the winning genotype. Existence mega
environments was found correlated with the rainfall pattern
and clearly suggested that different entries need to be
selected and deployed for realising maximum grain yield in
hill zone.
 

Keywords: Genotype × Environment Interaction (GEI), GGE biplot, soybean, stability

Info

Year: 2018
Volume: 78
Issue: 3
Article DOI: 10.31742/IJGPB.78.3.6
Print ISSN: 0019-5200
Online ISSN: 0975-6906

Authors

Anuradha Bhartiya, J. P. Aditya, Vedna Kumari, Naval Kishore, J. P. Purwar, Anjuli Agrawal, L. Kant and A. Pattanayak info_circle

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