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GGE Biplot Analysis of Yield Associations with Root Traits in a Mesoamerican Bean Diversity Panel

机译:GGE Biplot分析中美洲豆类多样性面板中与根性状相关的产量

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Common bean (Phaseolus vulgaris L.) production is subject to prolonged and crop-failure-threatening drought events worldwide. One of the best approaches in identifying parents and progeny with local adaptation to a target environment is the characterization of multiple environments. In this study, we used genotype plus genotype ?— environment (GGE) biplot analysis to examine the informativeness of the testing environments used by the bean breeding program at Michigan State University to select for drought tolerance. A group of 96 diverse Mesoamerican common bean genotypes assembled from breeding programs and germplasm collections across the United States were tested in two Michigan locations for 3 yr. Genotype plus genotype ?— environment biplots were used to rank genotypes according to environments and treatments (irrigated and rainfed) within environments. A genotype ?— trait analysis was also used to identify traits relevant to yield under rainfed and irrigated environments. Significant differentiation and nonredundancy were found among the environments, suggesting that resource use is efficient. Rainfed environments were better at discriminating high-performing genotypes in Michigan. Genotype ?— trait analysis showed a significantly negative correlation between growth habit and seed yield. A common feature of the better adapted and higher yielding genotypes under Michigan conditions was the upright type II growth habit. A number of root architecture traits such as taproot diameter were independent or associated with yield in common bean under different environments. Genotypes with contrasting traits associated with yield under rainfed and irrigated conditions were identified and could be used in the development of future common bean cultivars with improved drought tolerance.
机译:全世界的普通豆(菜豆)生产都受到长期和威胁农作物歉收的干旱事件的影响。鉴定具有针对目标环境的局部适应能力的父母和后代的最佳方法之一是对多种环境进行表征。在这项研究中,我们使用基因型加基因型-环境(GGE)双图分析来检验密歇根州立大学豆类育种计划用于选择耐旱性的测试环境的信息性。在整个密歇根州的两个地方测试了一组96种不同的中美洲普通豆基因型,这些基因型是由美国的育种计划和种质资源收集而来的,历时3年。基因型加基因型?-环境双标用于根据环境和环境中的处理方式(灌溉和雨养)对基因型进行排名。还使用基因型β-性状分析来鉴定与雨养和灌溉环境下的产量相关的性状。在这些环境之间发现了显着的差异和非冗余性,这表明资源利用是有效的。在密歇根州,雨养环境更好地区分了高性能基因型。基因型β-性状分析显示生长习性与种子产量之间显着负相关。在密歇根州条件下,适应性更好,产量更高的基因型的一个共同特征是直立的II型生长习性。在不同环境下,普通豆中的许多根构架特征(例如主根直径)是独立的或与产量相关。确定了在雨养和灌溉条件下具有与产量相关的性状相反的基因型,可用于开发未来耐旱性提高的普通豆品种。

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