[目的]解析和评价黄淮区油菜各试验点的鉴别力和代表性,为油菜品种评价、试验点选择或生态区划分提供参考.[方法]用GGE双标图法对2010-2015年度油菜黄淮区试产量数据进行分析,以基因与环境互作结果对试验点进行分类,并按照区分能力和代表性对各试验点进行评价.[结果]油菜黄淮区试11个试验点聚为3类,河南省的3个试验点(郑州、遂平和信阳)聚为一类,陕西省的4个试验点(杨凌、宝鸡、富平和大荔)、甘肃省的成县、山西省的运城和江苏省的淮安共7个试验点聚为一类,安徽省的宿州单独为一类.各试验点年季间没有固定的关系.从区分能力和代表性来分析,杨凌区试点是最理想的试验点,该试点的产量与平均产量的相关性达极显著水平.[结论]整个黄淮区不能划分为多个品种生态区.杨凌区试点的区试结果最能反映整个黄淮区试的平均结果,因此在安排多点试验时,杨凌试验点是最好的选择.%[Objective] The discriminating ability and representativeness of rapeseed sites in Huanghuai regional trial were analyzed and evaluated to provide reference for genotype evaluation,test-environment selection and mega-environment delineation.[Method] GGE biplot method was used to analyze the yield data of the national Huanghuai regional trials for rapeseed from 2010 to 2015.A total of 11 sites were clustered based on genotype and environment interaction,and were evaluated based on the discriminating ability and representativeness.[Result] The 11 Huanghuai regional trial sites of rapeseed could be clustered into 3 groups.The 3 sites in Henan were clustered,4 sites in Shaanxi,Chengxian in Gansu,Yuncheng in Shanxi,and Huai'an in J iangsu were within one group,while Suzhou in Anhui was clustered into a separate group.There were inconsistent relationships among trial sites in different years.Yangling site was an ideal site based on discriminating ability and representativeness.There was very significant correlation between yield at Yangling and average yield of other sites.[Conclusion] The Huanghuai region could not be divided into more mega-environments.Yangling site can represent the average of all regional trials very well and would be the best choice in selection of locations.
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