Biplot analysis of multi-environment trial data.

Yan Weikai, L. A. Hunt, M. Kang
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引用次数: 130

Abstract

Abstract This chapter discusses the importance of multi-environment trials (METs) in new crop cultivar release and recommendation. The problems posed by differential genotype responses in different environments (genotype environment interactions) in cultivar evaluation are discussed and improvements in the methods used for MET data analysis are presented. The rationale and applications of the GGE-biplot methodology in MET data analysis are also pointed out.
多环境试验数据双标图分析。
摘要本章讨论了多环境试验(METs)在作物新品种发布和推荐中的重要性。讨论了不同环境下基因型差异反应(基因型-环境相互作用)在品种评价中所带来的问题,并提出了MET数据分析方法的改进。指出了ge -双标图方法在MET数据分析中的基本原理和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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