Abstract

  Field experiments were carried out using 20 genotypes for 3 consecutive years (2017-2019) under two randomly completed conditions (Zanaskar Kargil or irrigation rainfall) to identify high-grain infarct-able wheat genotypes obtained by a single parameter. RBD with three copies in each environment. Combination testing of variation showed significant differences for the GE (genotype-environment) cardinal. The results of AMMI (additive main effect and multiplicative interaction) show that the first two AMMI (AMMI 1 - AMMI 2) are symbolic (P < 0.01). It became clear that the division of whole squares was a major source of environmental impact variability, followed by interplay and genetic type effect. The GE cardinal genotype is three times greater than the effect, indicating the presence of different environmental groups. The AMMI Invisibility Value (ASV) lost the G12, G18, G13, G14 and G11 genotypes, respectively. Differentiation to SE is not a physical selection criterion because most incomplete genotypes do not provide the best yield performance and, therefore, grain yield and ASV can be considered simultaneously in a single parameter-free index. Depending on the rainfall and irrigation conditions, the G1 and G18 genes and the High Grain Genome Type Selection Index (GSI) were matched to the results of the biplot observation.

Keywords: Wheat; AMMI; SAV; Dry Cold Zone; Conflict; Observation; Genetics; Cargill; Reform

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Citation

Citation: Mushtaq Ahmad., et al. “Stability and Scrutiny Using (Ammi): Model of Bread Wheat Over the Years in Cold Arid Harsh Conditions of Kargil and Zanaskar (Ladakh)- India". Acta Scientific Agriculture 4.10 (2020): 02-09.

Copyright

Copyright: © 2020 Mushtaq Ahmad., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.