Multi-Model Evaluation of Genotype × Environment Interaction Reveals Adaptive Strategies for Climate-Resilient Wheat Production

Published: 23 February 2026| Version 1 | DOI: 10.17632/vxjwwdz33m.1
Contributors:
adel siosemardeh, nasrin ghamarirahim, Ghader Mirzaghaderi, farzad hosseinpanahi

Description

This dataset contains the raw data for grain yield and related agronomical traits of 12 bread wheat genotypes. The study was conducted across 8 distinct environments (combining 4 years and 2 irrigation regimes: rainfed and supplemental irrigation) in Western Iran. The data was used to perform AMMI, GGE biplot, and multi-trait stability index (MTSI) analyses.

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Steps to reproduce

The data were obtained from field experiments conducted over four consecutive growing seasons (2019–2023) at the University of Kurdistan, Iran. The study used a split-plot structure within a randomized complete block design (RCBD) with three replications across eight distinct environments (4 years × 2 moisture regimes). Each environment included 12 bread wheat genotypes. The raw data provided in the dataset represents the mean values of the traits (grain yield, spike length, and TKW) measured for each genotype in each environment, suitable for stability and G×E interaction analyses.

Categories

Agronomy

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