%0 Journal Article
%T 利用多点试验数据评价作物品种表现的一种新方法<br>A New Method for Crop Varieties Evaluation Using Multi-Location Test Data
%A 孙敏
%A 赵力之
%A 孙世聪
%A 李伟
%A 于学鹏
%A 张雷
%J Hans Journal of Agricultural Sciences
%P 167-172
%@ 2164-5523
%D 2016
%I Hans Publishing
%R 10.12677/HJAS.2016.66026
%X <div style=\"text-align:justify;\">
	<span style=\"line-height:1.5;font-size:14px;\">应用双标图法分析作物品种多点试验数据，深受育种工作者推崇，作为一种分析基因型与环境互作的正确方法，它可以提高研究者直观理解和驾驭试验数据的能力。但有一些使用者对双标图分析缺乏深入了解，不能正确地选择和解释双标图。为了使农业科研工作者对双标图分析有一个客观全面的认识，本文通过实例介绍利用双标图法对作物品种多点试验数据进行分析，主要阐述以下两个问题：(1) 如何选择适当的GGE双标图(基因型 + 基因型与环境互作)来进行多点试验数据分析；(2) 如何使用GGE双标图的不同功能形态进行品种评价、试验点评价和品种生态区划分。<br />
Biplot analysis has been used for analysis of genotype-by-environment data. Plant breeders are enthusiastic about the capacity of biplot analysis in helping them to understand their research data visually, considering the use of biplots as a right way to genotype-by-environment interaction analyses. Admittedly, some users of biplot analysis are not always clear on how to select a proper type of biplot for a particular research objective and how to interpret a biplot correctly and accurately. In order to enable agricultural researchers have an objective and comprehensive understanding to biplot analysis, this paper introduced biplot analysis for crop varieties evaluation using multi-location test data by some examples, mainly covers two issues: (1) how to choose a proper GGE biplot (genotype + genotype-by-environment interaction) to analysis the experi- mental data, and (2) how to use the key functions of a GGE biplot for genotype evaluation, test- &nbsp; &nbsp; environment evaluation, and mega-environment delineation.</span><span style=\"line-height:1.5;font-size:14px;\"></span> 
</div>
%K 双标图，品种–环境互作，品种评价，试验点评价，品种生态区划分<br>Biplot
%K Genotype-by-Environment Interaction
%K Genotype Evaluation
%K Test-Environment Evaluation
%K Mega-Environment Delineation
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=19139