【摘要】 将原始数据减去各试点均值后形成的数据集中只含基因型主效 G和基因型与环境互作效应 GE,合称 GGE。对 GGE做单值分解 ,以第一和第二主成分近似 ,按第一和第二主成分值将所有品种和试点绘于同一平面图即形成GGE双标图。以其分析我国春麦区 10个试点 2 0个品种淀粉糊化特性的峰值粘度 ,结果表明铁春 1号在大部分试点峰值粘度表现较好 ,其次为晋春 9号 ,而宁作 17表现最差 ,且不稳定。哈尔滨试点具有较高的淀粉峰值粘度 ,可用于筛选品种的淀粉品质及其稳定性。更多还原

【Abstract】 This paper introduced a GGE biplot as a graphic method for analyzing wheat peak viscosity based on data from regional trials. The average performance at each environment was subtracted from the original pasting properties data first so that the derived data contains only genotype main effect G and genotype by environment interaction GE, which were collectively named GGE. The GGE data was then subjected to singular value decomposition and was approximated by the first two principal components. Plotting the first principal component against the second for all genotypes and environments resulted in a GGE biplot. In light of the biplot, peak viscosity of starch pasting characteristics for twenty cultivars from ten locations in Chinese spring-sown spring wheat regions was analyzed. The results indicated that Tiechunl performed both high and stable for peak viscosity, followed by Jinchun9, while Ningzuo17 performed the poorest. Harbin was the best environment facilitating identification of peak viscosity.更多还原