Biplot Analysis of Test Sites and Trait Relations of Soybean in Ontario.
Biplot Analysis of Test Sites and Trait Relations of Soybean in Ontario.
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DOI：
10.2135/cropsci2002.1100
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发表时间：
2002
期刊：
影响因子：
2.3
通讯作者：
Weikai Yan;I. Rajcan
中科院分区：
文献类型：
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作者：
Weikai Yan;I. Rajcan
优良作物品种的鉴定必须通过多环境试验和多性状综合鉴定。本文的目的是描述两种类型的双图，即GGE双图和GT双图，它们分别以图形方式显示环境数据的基因型和性状数据的基因型，从而为基于MET数据和多性状的品种评估提供便利。大豆基因型主效应与环境互作效应（GGE）双图分析[j]稳定。1994-1999年期间安大略省2800个作物热单位面积的MET产量数据揭示了每年通过位点相互作用的交叉基因型。安大略省东部的温彻斯特在6年中有4年表现出与安大略省西南部3个地点不同的基因型反应模式。相互作用不足以将该地区划分为不同的大环境，因为经过多年分析，单一品种在所有四个地点都产生了最好的结果。西南的圣保罗遗址被发现总是与其他三个遗址中的至少一个聚集在一起；它没有提供关于基因型性能的独特信息。因此，在今后的品种评价中，应始终使用温彻斯特，而圣保罗可以忽略。利用GT双标图对1994-1999年的多性状数据进行分析，结果表明，GT双标图能直观地显示出种子产量、含油量、蛋白质含量、株高和成熟期等性状之间的相互关系，有利于品种的直观比较和选择。结果表明，在大豆育种的早期阶段，单靠种子产量进行选择不仅是最简单的，而且是最有效的策略。
Superior crop cultivars must be identified through multi-environment trials (MET) and on the basis of multiple traits. The objectives of this paper were to describe two types of biplots, the GGE biplot and the GT biplot, which graphically display genotype by environment data and genotype by trait data, respectively, and hence facilitate cultivar evaluation on the basis of MET data and multiple traits. Genotype main effect plus genotype by environment interaction effect (GGE) biplot analysis of the soybean [Glycine max (L.) Merr.] yield data for the 2800 crop heat unit area of Ontario for MET in the period 1994-1999 revealed yearly crossover genotype by site interactions. The eastern Ontario site Winchester showed a different genotype response pattern from the three southwestern Ontario sites in four of the six years. The interactions were not large enough to divide the area into different mega-environments as when analyzed over years, a single cultivar yielded the best in all four sites. The southwestern site, St. Pauls, was found to always group together with at least one of the other three sites; it did not provide unique information on genotype performance. Therefore, in future cultivar evaluations, Winchester should always be used but St. Pauls can be dismissed. Applying GT biplot to the 1994-1999 multiple trait data illustrated that GT biplots graphically displayed the interrelationships among seed yield, oil content, protein content, plant height, and days to maturity, among other traits, and facilitated visual cultivar comparisons and selection. It was found that selection for seed yield alone was not only the simplest, but also the most effective strategy in the early stages of soybean breeding.