作者: Weikai Yan , L.A. Hunt
DOI: 10.2135/CROPSCI2001.41119X
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摘要: An understanding of the causes genotype × environment (GE) interaction can help identify traits that contribute to better cultivar performance and environments facilitate evaluation. Through subjecting environment-centered yield a multi-environment trial data singular value decomposition, portion variation is relevant evaluation partitioned into noncrossover crossover GE interaction, quantified by first two principal components (PC), respectively. Each PC set genotypic scores multiplied environmental scores. By relating covariates, represented each be interpreted in terms trait factor interactions. This strategy was employed analysis 1992 1998 Ontario winter wheat (Triticum aestivum L.) data. Results indicated plant height maturity were major whereas cold temperature hot summer interaction. Positive interactions found between earlier vs. warmer winters or hotter summers, shorter cooler summers. In addition, resistance septoria leaf blotch (caused Septoria secalis Prill. & Delacr.) frequently associated with overall performance. The results this study should determining breeding objectives for selecting test sites Ontario.