基因型的多变量稳定性统计数据根据牛新鲜产量的环境相互作用
Mona M F Ghazy1, Waleed M B Yehia2, Essam F El-Hashash3
1Forage Crops Research Department, Agriculture Research Center, Field Crops Research Institute, Giza, 12619, Egypt.
Scientific reports
|September 12, 2025
概括
这项研究评估了10种牛基因型的稳定性和适应性产量,分布在3个地点和3年. 基因型G7显示出最稳定的表现,突出了环境相互作用 (GEI) 基因型对改善牛豆生产的重要性.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 遗传学 是一个遗传学.
背景情况:
- 牛 (Vigna unguiculata) 是一种重要的豆类作物,特别是在埃及.
- 优化豆产量需要了解基因型稳定性和环境适应性.
- 基因型根据环境相互作用 (GEI) 显著影响作物表现.
研究的目的:
- 评估十种牛基因型在各种环境条件下的稳定性和适应性.
- 确定优越的牛基因型,以提高新鲜产量和稳定性.
- 为了利用多变量统计数据,在牛生产中做出明智的育种决定.
主要方法:
- 利用多变量稳定性统计,包括差异分析 (ANOVA) 和添加主效应和乘法相互作用 (AMMI) 模型.
- 采用基因型和基因型对环境 (GGE) 双图分析用于基因型和环境评估.
- 分析了三个地点在三个生长季节 (2021-2023) 的新鲜牛豆产量 (/公) 数据.
主要成果:
- 环境因素显著影响了牛产量,而Sids的位置产量最高.
- 基因型G7表现出优越的稳定性,在各种环境中产量变化最小.
- AMMI和GGE双图分析确定G7和G2是高度稳定的基因型,而环境E4,E5和E9显示出最高的产量.
结论:
- 对基因型评估的多维方法对于可持续的牛豆生产至关重要.
- 了解GEI对于育种者来说是关键,以选择有弹性和生产力的牛品种.
- 这项研究为通过战略繁殖改善埃及新鲜牛豆产量提供了见解.
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