ADAPTABILITY PERFORMANCE OF FEED BARLEY GENOTYPES EVALUATED UNDER NWPZ OF THE COUNTRY

Journal of Bio Innovation Pub Date : 2021-06-30 DOI:10.46344/jbino.2021.v10i03.12

A. Verma, R. Verma, J. Singh, L. Kumar, Gp Singh

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Abstract

Highly significant effects of the environment (E), genotypes (G), and GxE interaction had been observed by AMMI analysis. Environment explained 63.4% whereas GxE interaction accounted for 23.4% of treatment variations in yield during first year. Harmonic Mean of Genotypic Values (HMGV) expressed higher values for PL906, KB1707, UPB1080 genotypes. Ranking of genotype as per IPCA-1 were NDB1723, NDB1709, HUB266. While IPCA-2, selected BH1023, BH1024, NDB1723 genotypes. Values of Measures ASV1 selected NDB1723, NDB1709, HUB266 and ASV identified NDB1723, NDB1709, BH1023 barley genotypes. Adaptability measures Harmonic Mean of Relative Performance of Genotypic Values (HMPRVG) pointed towards PL906, KB1707, UPB1080 and Relative Performance of Genotypic Values (RPGV) identified KB1707, PL906, RD2994 as the genotypes of performance among the locations. Biplot graphical analysis observed clustering of adaptability measures PRVG, HMPRVG, along with GM, HM in a group. During 2019-20 cropping season Environment effects accounted 61.4% whereas GxE interaction contributed for 26.9% of treatment variations in yield. HMGV expressed higher values for DWRB137, PL906. IPCA-1 scores, desired ranking of genotypes was UPB1080, PL906. While IPCA-2 pointed towards PL906, RD2994, as genotypes of choice. Analytic measures ASV and ASV1 selected PL906, UPB1080 barley genotypes. HMRPGV selected DWRB137, PL906 whereas PRVG settled for DWRB137, KB1707. Biplot analysis seen cluster of ASV, ASV1 IPC1, Mean, GM, HM along with adaptability measures PRVG, HMPRVG observed in adjacent quadrant.

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在国家NWPZ下评价饲料大麦基因型的适应性

AMMI分析发现，环境(E)、基因型(G)和GxE相互作用的影响非常显著。环境对处理第一年产量变化的解释为63.4%，而GxE互作对处理第一年产量变化的解释为23.4%。基因型值调和平均值(HMGV)在PL906、KB1707、UPB1080基因型中表达较高。IPCA-1基因型排序为NDB1723、NDB1709、HUB266。IPCA-2选择BH1023、BH1024、NDB1723基因型。ASV1选择NDB1723、NDB1709、HUB266, ASV鉴定NDB1723、NDB1709、BH1023大麦基因型。基因型值相对表现调和均值(HMPRVG)和基因型值相对表现调和均值(RPGV)的适应性测定结果表明，各位点间的表现基因型为KB1707、PL906、RD2994。双图分析结果显示，PRVG、HMPRVG以及GM、HM在同一组中均呈聚类。在2019- 2020种植季，环境效应对产量变化的贡献率为61.4%，而GxE互作对产量变化的贡献率为26.9%。HMGV在DWRB137、PL906中表达较高。IPCA-1评分，期望基因型排名为UPB1080, PL906。而IPCA-2则指向PL906、RD2994作为基因型的选择。分析测定ASV和ASV1选择的大麦PL906、UPB1080基因型。HMRPGV选择DWRB137、PL906, PRVG选择DWRB137、KB1707。双图分析在相邻象限观察到ASV、ASV1、IPC1、Mean、GM、HM以及适应性测量PRVG、HMPRVG的聚类。

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Journal of Bio Innovation

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