应用单变量、多变量和混合模型分析灌溉条件下埃塞俄比亚四倍体小麦品种的稳定性

IF 1.3 Q3 AGRONOMY Agrosystems, Geosciences & Environment Pub Date : 2024-10-28 DOI:10.1002/agg2.20574
Geleta Gerema, Girma Mengistu, Tilahun Bayisa, Urgaya Balcha
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引用次数: 0

摘要

在不同的灌溉环境中测试硬粒小麦(Triticum turgidum subsp.durum)品种对于确定其性能和适应性的稳定性至关重要。本研究在八个灌溉地点考察了 12 个常用和新开发的硬粒小麦品种,目的是研究基因型与环境的相互作用及其对埃塞俄比亚四倍体小麦在不同环境下产量稳定性的影响。田间试验有两次重复,采用随机完全区组设计。采用多变量(方差分析、加法主效应和乘法交互作用[AMMI]以及遗传学、遗传学×环境[GGE]双图)和单变量(bi[回归系数]、S2d[回归偏差]、σi2[Shukla 稳定性方差]、Wi2[Wricke 生态值]、YSi[产量稳定性统计量]和 CVi[方差系数])分析方法来鉴定稳定品种。AMMI 分析表明,遗传 × 环境交互作用非常显著(p > 0.01),而基因型和环境变异不显著。前两个主成分轴(IPCA1 和 IPCA2)高度显著(p > 0.01),占基因与环境交互作用总量的 79%。单变量统计模型表明,Bulala 是一个稳定的高产品种,能适应各种环境。全球基因组学双图分析表明,八个测试环境被聚类为三个巨型环境,Bulala 在不同环境中是最稳定的品种。综合均值分析、多变量和单变量模型的结果显示,Bulala 是一个高产品种(3.46 吨/公顷-1),并且在所有测试环境中都很稳定,而 Mukiye 品种产量高(3.43 吨/公顷-1),但稳定性和多地点适应性较差。因此,建议在试验地点和灌溉条件下农业生态类似的地方进一步示范和推广 Bulala。
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Application of univariate, multivariate, and mixed models to the stability analysis of Ethiopian tetraploid wheat cultivars under irrigation condition

The testing of durum wheat (Triticum turgidum subsp. durum) varieties in different irrigated environments is critical for determining the stability of their performance and adaptation. In this study, 12 popular and newly developed durum wheat varieties were examined in eight irrigated locations with the purpose of investigating genotype–environment interaction and their effect on Ethiopian tetraploid wheat yield stability across diverse environments. The field experiment has two replications with a randomized complete block design. Multivariate (analysis of variance, additive main effect and multiplicative interaction [AMMI], and genetics, genetics × environment [GGE] biplot) and univariate (bi [regression coefficient], S2d [deviation from regression], σi2 [Shukla's stability variance], Wi2 [Wricke's ecovalence], YSi [yield stability statistic], and CVi [coefficient of variance]) analysis methods were used to identify stable varieties. The AMMI analysis showed that the genetic × environmental interaction was highly significant (p > 0.01), while the genotype and environment variation were not significant. The first two principal component axes (IPCA1 and IPCA2) were highly significant (p > 0.01) and contributed 79% of the total GE interaction. Univariate statistical models indicate that Bulala is a stable, high-yielding variety that can adapt to various environments. GGE biplot analysis revealed that the eight test environments were clustered into three mega-environments, ranked Bulala as the most stable variety across diverse environments. The results of the combined mean analysis, multivariate and univariate models revealed that Bulala is a high yielder (3.46 tons ha−1) and stable variety across all test environments, while Mukiye variety has a high yield (3.43 tons ha−1) but is not as stable or adaptive to multiple locations. As a result, Bulala was recommended for further demonstration and popularization in test locations and places with similar agroecologies under irrigation.

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来源期刊
Agrosystems, Geosciences & Environment
Agrosystems, Geosciences & Environment Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.60
自引率
0.00%
发文量
80
审稿时长
24 weeks
期刊最新文献
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