基于GGE双标图的大豆蛋白质多环境的稳定性分析

Analysis of Soybean Protein Content for Environment Stability Based on GGE Biplot

摘要: 为准确评价大豆蛋白质含量在不同环境的稳定性和适应性，本研究应用GGE双标图对2002年到2011年种植于哈尔滨试验点的147个F_10-19代重组自交系材料及其亲本Charleston (♀)和东农594 (♂)的10个年份(环境)蛋白数据进行分析和评价。结果表明，第1主成分解释了37.7%的效应，第2主成分解释了15.3%的效应，第1主成分和第2主成分共解释G与GE互作效应的53.0%。10个环境被分为4个区域，第一个区域主要有2003HRB环境，株系80的蛋白质含量表现最好；第二个区域有2002HRB、2004HRB、2006HRB和2008HRB共4个环境，株系24的蛋白质含量表现最好；第三个区域主要有2011HRB，株系10的蛋白质含量表现最好。第四个区域有2007HRB、2009HRB和2010HRB，株系23位于顶点，蛋白质含量表现最好。通过环境的代表性和鉴别能力分析，得出2008HRB最具有代表性，2002HRB鉴别能力最好。在连续10年哈尔滨环境下，环境因子对蛋白质含量的影响顺序为：日照时数 > 降水量 > 平均温度。该结果对多环境下指导大豆栽培及地区适宜气象因子的评估具有重要意义。

Abstract: To increase the evaluation accuracy of stability and adaptability of soybean protein content in multiple environments, GGE-biplot method was used to analyze and evaluate the recombinant inbred lines (RILs) dataset including 147 F_10-19 RILs and their parents Charleston (♀) and Dongnong 594 (♂) planted in Harbin from 2002 to 2011 year. The results showed that the first principal component explained 37.7% effect, the second principal components explained 15.3% effect, and PC1 and PC2 were explained totally 53.0% on interaction effects. Ten environments could be divided into four groups, 2003HRB was in the first group, and Line No. 80 was the best inside the group; 2002HRB, 2004HRB, 2006HRB and 2008HRB were in the second group, and Line No. 24 was the best inside the group; 2011HRB was in the third group, and Line No. 10 was the best inside the group. 2007HRB, 2009HRB and 2010HRB were in the second group, and Line No. 23 was the best inside the group. Based on discrimination ability and environmental representativeness, 2008HRB was the best representative environment and 2002HRB was the best discriminating ability envi-ronment. Based 10 years data in Harbin environment, environmental factors impacted on the soy-bean protein content are sequenced as: Sunshine > precipitation > average temperature. The results were important implications for guiding soybean cultivation in multiple environments and evaluation of the suitable environmental factors.