Taherian Majid, Saeidnia Fatemeh, Hamid Rasmieh, Nazeri Seyyed Mahmood
Agricultural and Horticultural Science Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Mashhad, 91769-83641, Iran.
Plant Breeding Department, Cotton Research Institute of Iran, Agricultural Research, Education and Extension Organization, Gorgan, 49166-85915, Iran.
Heliyon. 2024 Oct 18;10(20):e39599. doi: 10.1016/j.heliyon.2024.e39599. eCollection 2024 Oct 30.
Evaluating the adaptability and yield stability of wheat varieties across different sowing dates is crucial for the success of breeding programs. In this study, we used Additive Main Effects and Multiplicative Interactions (AMMI) and Genotype × Genotype-Environment (GGE) biplot analyses to evaluate the performance of 13 wheat varieties across eight sowing dates. The main objective was to compare varieties and sowing dates to identify the most stable varieties for cultivation. Both AMMI and GGE biplot analyses showed significant effects of genotype, environment and genotype-environment (GE) interaction on grain yield. The interaction patterns identified by AMMI and GGE-biplots categorized Mihan, Oroom and Pishgam as the most stable, high yielding and early maturing wheat varieties. Furthermore, while the GGE biplot method proved to be more efficient than the AMMI model for stability analysis, our results indicate considerable overlap between the results of these two approaches. These results provide a valuable basis for optimizing genetic improvement strategies in wheat breeding programs.
评估小麦品种在不同播种期的适应性和产量稳定性对于育种计划的成功至关重要。在本研究中，我们使用加性主效应和乘法交互作用（AMMI）以及基因型×基因型 - 环境（GGE）双标图分析来评估13个小麦品种在八个播种期的表现。主要目的是比较品种和播种期，以确定最适合种植的稳定品种。AMMI和GGE双标图分析均表明，基因型、环境以及基因型 - 环境（GE）互作对籽粒产量有显著影响。AMMI和GGE双标图所确定的交互模式将米汉、奥罗姆和皮什加姆归类为最稳定、高产且早熟的小麦品种。此外，虽然GGE双标图方法在稳定性分析方面被证明比AMMI模型更有效，但我们的结果表明这两种方法的结果有相当大的重叠。这些结果为优化小麦育种计划中的遗传改良策略提供了有价值的依据。
