Unravelling Genotype × Year Interactions and Yield Stability in Wheat Under Rainfed Conditions in the Temperate Western Himalayas Using AMMI , GGE , and BLUP Approaches

ABSTRACT Genotype × year (G × Y) interactions significantly complicate successful variety selection, especially in dryland (rain‐dependent) ecosystems experiencing intense climate fluctuations. In this study, the grain yield, agronomic performance, temporal response patterns, and parametric stability of 10 different spring bread wheat ( Triticum aestivum L.) genotypes were comprehensively evaluated over three consecutive growing seasons (2019–2022) at a temperate dryland farming location using AMMI, GGE biplot, and BLUP‐based linear mixed model (LMM/WAASB) approaches. The combined analysis of variance (ANOVA) results revealed highly significant differences ( p < 0.01) in terms of genotype (G), year (Y), and G × Y interaction for almost all of the agronomic characteristics examined, indicating that yield potential is directly governed by interannual climate differences. AMMI and WAASB indices revealed high genetic diversity in terms of G × Y interaction variance among the tested lines, whereas GGE biplot analysis characterized temporal response patterns of the genotypes across the three tested seasons. In all the complementary analytical methods applied, SKW‐356 showed relatively consistent performance across the three tested seasons, with low interaction scores and a position close to the ‘ideal genotype’ center in the biplot analyses. However, these results represent temporal stability within the single testing location and should not be interpreted as evidence of broad environmental adaptation. While some other elite genotypes (particularly the G5 and G8 lines) have shown high yield potential in certain favourable years, they exhibited greater year‐to‐year yield variation across the contrasting seasonal conditions. Based on these multiple and complementary stability analyses, SKW‐356 may be considered a promising candidate for further multi‐location and multi‐year evaluation, while its performance under broader environmental conditions and its potential use in breeding programs require additional validation.

Authors

Institutions

Publication Details

Journal
Journal of Agronomy and Crop Science
Published
2026-10-28
DOI
https://doi.org/10.1111/jac.70265
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unravelling Genotype × Year Interactions and Yield Stability in Wheat Under Rainfed Conditions in the Temperate Western Himalayas Using AMMI , GGE , and BLUP Approaches

İsmail Karakaş, Shabir Hussain Wani, Ahmed Gaber, Gopal Wasudeo Narkhede et al.
Journal of Agronomy and Crop Science
Genetics and Plant Breeding
article

Unravelling Genotype × Year Interactions and Yield Stability in Wheat Under Rainfed Conditions in the Temperate Western Himalayas Using AMMI , GGE , and BLUP Approaches

İsmail Karakaş, Shabir Hussain Wani, Ahmed Gaber, Gopal Wasudeo Narkhede, Bassem M. Raafat, Akbar Hossain, Neeraj Poonia, Iram Bashir, Karansher Singh Sandhu, Najeebul Rehman Sofi
article en

Abstract

ABSTRACT Genotype × year (G × Y) interactions significantly complicate successful variety selection, especially in dryland (rain‐dependent) ecosystems experiencing intense climate fluctuations. In this study, the grain yield, agronomic performance, temporal response patterns, and parametric stability of 10 different spring bread wheat ( Triticum aestivum L.) genotypes were comprehensively evaluated over three consecutive growing seasons (2019–2022) at a temperate dryland farming location using AMMI, GGE biplot, and BLUP‐based linear mixed model (LMM/WAASB) approaches. The combined analysis of variance (ANOVA) results revealed highly significant differences ( p < 0.01) in terms of genotype (G), year (Y), and G × Y interaction for almost all of the agronomic characteristics examined, indicating that yield potential is directly governed by interannual climate differences. AMMI and WAASB indices revealed high genetic diversity in terms of G × Y interaction variance among the tested lines, whereas GGE biplot analysis characterized temporal response patterns of the genotypes across the three tested seasons. In all the complementary analytical methods applied, SKW‐356 showed relatively consistent performance across the three tested seasons, with low interaction scores and a position close to the ‘ideal genotype’ center in the biplot analyses. However, these results represent temporal stability within the single testing location and should not be interpreted as evidence of broad environmental adaptation. While some other elite genotypes (particularly the G5 and G8 lines) have shown high yield potential in certain favourable years, they exhibited greater year‐to‐year yield variation across the contrasting seasonal conditions. Based on these multiple and complementary stability analyses, SKW‐356 may be considered a promising candidate for further multi‐location and multi‐year evaluation, while its performance under broader environmental conditions and its potential use in breeding programs require additional validation.

Journal of Agronomy and Crop ScienceVol. 212(6)
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (IN), Taif University (SA), Ege University (TR), Bangladesh Wheat and Maize Research Institute (BD), SR University (IN)
Openalex Percentile: Top 14%
Genetics and Plant Breeding
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon