基于R语言的冬小麦品种稳定性分析

旨在确定适宜的品种稳定性分析参数及其计算方法。利用冬小麦区域试验数据，通过R语言计算了14个稳定性参数，并采用秩相关和主成分分析，研究了参数的功效和相关性。结果表明，R语言可以方便、灵活的计算各类参数；相关分析表明，PCOA和产量极显著正相关，CV和Bi极显著正相关，Sigma.square和Si、Si2、Si3、ASV极显著正相关，ASV和Si6极显著正相关；主成分分析表明，14个稳定性参数可以分为3组，组1包含Bi，与多数参数负相关，与产量相关性不显著，组2包含YIELD、Pi、YSI、CV和PCOA，与产量显著正相关，组3包含Sigma.square、S.square、ASV、Si、Si2、Si3、Wi、Si6，与产量相关性不显著。研究表明，ASV和Si与其他参数间的相关性较好，PCOA模型能够同时评价品种产量及其稳定性，三者是单变量参数模型的有益补充。

Stability Analysis of Winter Wheat Varieties Based on R Language

This article aimed at determining the suitable variety stability analysis parameters and their calculation methods. Fourteen parameters for one set of variety regional test data were computed by R language. The effect and correlation of the parameters were studied using rank correlation and principal component analysis. The results showed that R language was a convenient and flexible language for calculating all kinds of parameters. Correlation analysis showed that the correlations between PCOA and yield, CV and Bi, Sigma.square and Si, Si2, Si3, ASV, respectively, ASV and Si6 were positive significantly. The principal components analysis showed that 14 methods could be categorized in three groups: group Ⅰ included Bi which showed negative correlation with others and no correlation with yield; group Ⅱ YIELD, Pi, YSI, CV and PCOA whose yield level and stability of performance were considered simultaneously; and group Ⅲ which were mostly associated with each other and showed little or no correlation with yield. The research showed that the ASV, Si and the PCOA were the beneficial supplements of the single variable parameter model.