2020
DOI: 10.31742/ijgpb.80.3.15
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Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

Abstract: Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qh… Show more

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Cited by 6 publications
(7 citation statements)
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“…So, the primary tritipyrum lines can be considered as a new plant with a higher potential of stability than wheat and triticale in the expression of general adaptation. In this order, Yadav et al [ 87 ] mentioned that AMMI approach is an effective method to delineate GEI and stability of barley ( Hordeum vulgare L.) genotypes under northern Indian Shivalik hill conditions.…”
Section: Resultsmentioning
confidence: 99%
“…So, the primary tritipyrum lines can be considered as a new plant with a higher potential of stability than wheat and triticale in the expression of general adaptation. In this order, Yadav et al [ 87 ] mentioned that AMMI approach is an effective method to delineate GEI and stability of barley ( Hordeum vulgare L.) genotypes under northern Indian Shivalik hill conditions.…”
Section: Resultsmentioning
confidence: 99%
“…Among the above traits, day to 50% flowering and harvest index were having high significant pooled deviation which indicated that some portion of G × E was unpredictable. Significant deviations from regression have been reported earlier also by Yadav et al [8] and Kamdi et al [9].…”
Section: Resultsmentioning
confidence: 56%
“…Hence, we can predict the performance of genotypes over wide range of environments for these traits. Significant G × E (linear) for different traits has been reported by Chaudhary et al [7] and yadav et al [8]. Among the above traits, day to 50% flowering and harvest index were having high significant pooled deviation which indicated that some portion of G × E was unpredictable.…”
Section: Resultsmentioning
confidence: 84%
“…Yan et al 11 proposed the GGE biplot, which takes into account both genotype main effects and GEI effects when conducting analysis. Utilising them to assess the genotypes of groundnut 21,22 , pigeon pea [23][24][25][26] , chickpea 27 , maize 28 , barley 29,30 , rapeseed 31 , rice 32 , wheat [33][34][35] , and ashwagandha 36 .…”
Section: Discussionmentioning
confidence: 99%