用GGE双标图分析甘蔗品种性状稳定性及试点代表性  

Trait stability and test site representativeness of sugarcane varieties based on GGE-biplot analysis

作　　者：罗俊[1] 张华[1] 邓祖湖[1] 阙友雄[1] 

机构地区：[1]福建农林大学农业部福建甘蔗生物学与遗传育种重点实验室/国家甘蔗产业技术研发中心,福州350002

出　　处：《应用生态学报》2012年第5期1319-1325,共7页Chinese Journal of Applied Ecology

基　　金：国家现代农业(甘蔗)产业技术体系建设项目(CARS-20);国家农作物品种区域试验项目资助

摘　　要：算术平均法经常被用于评估甘蔗品种产量的稳定性和适应性,并用方差分析来估计区域试验的试验误差.然而,地点和年份的差异使品种的差异难以得到准确评估.为客观评价甘蔗品种的稳定性和适应性,本研究采用GGE双标图对2008—2009年我国甘蔗区域试验5个试点中的7个甘蔗品种试验数据进行分析.结果表明:福农30号为蔗茎产量高且稳产性高的品种,粤甘18号为含糖量高且性状稳定的品种,福农28号和云蔗99-91为高蔗糖分且性状稳定的品种,粤甘16号的蔗茎产量和含糖量最高,但稳定性一般;在各试点中,福建漳州和广东遂溪的代表性和鉴别力较强.GGE双标图分析为客观评价甘蔗参试品种的丰产性和稳定性提供了直观、有效的手段,为甘蔗新品种的鉴定与推广提供了科学依据.Arithmetic mean method is commonly used to evaluate the yield stability and adaptability of sugarcane varieties, and variance analysis is applied to estimate the errors in regional trials. However, it is difficult to accurately evaluate the differences of the varieties due to the discrepancies across test sites and years. In this paper, GGE-biplot method was adopted to analyze the data from the regional trials with seven sugarcane varieties at five sites from 2008 to 2009, aimed to objective- ly evaluate the yield stability and adaptability of sugarcane varieties in China. Among the test sugar- cane varieties, Funong No. 30 had higher cane yield and better yield stability, Yuegan No. 18 had higher sugar content and better trait stability, Funong No. 28 and Yunzhe 99-91 had high sucrose content and trait stability, while Yuegan No. 16 had the highest cane yield and sugar content but or- dinary stability. In the test sites, Zhangzhou City in Fujian Province and Suixi City in Guangdong Province had the best representativeness and discrimination. This study showed that GGE-biplot analysis provided a simple and effective method to analyze the high yield and stability of sugarcane varieties in regional trials, and supplied the basis for the approval and extension of new sugarcane varieties.

关 键 词：GGE双标图 甘蔗 蔗茎产量含糖量 

分 类 号：S566.1[农业科学—作物学]