摘要
在农作物多环境品种试验中基因型与环境互作(GE)现象是普遍存在的,品种生态区划分和试验环境评价与选择是提高品种选择效率的有效方法。西北内陆棉区是我国目前最重要的主产棉区,探索该棉区棉花品种生态区划分和品种试验环境科学评价与选择,有利于试验环境资源的合理利用和棉花品种试验效率的提升。本研究基于2011—2020年西北内陆棉区国家棉花品种区域试验产量数据,采用LG双标图和GGE双标图方法探索了试验环境间的相关性模式,并对各试验环境的代表性、鉴别力和理想指数进行了综合评价。结果表明:1)LG双标图揭示了西北内陆早熟棉区除乌苏外的沙湾、五家渠、奎屯、石河子、敦煌、博乐和精河等试点均属于同一品种生态区;南疆早中熟棉区除麦盖提外的巴州、阿拉尔、莎车、库车、拜城、库尔勒和图木舒克等试点属于同一品种生态区。2)各试验环境的鉴别力差异不显著,而早熟棉区的乌苏试点和早中熟棉区的麦盖提点的代表性及理想指数显著差于其余试点,其他试点间的差异不显著。3)早熟棉区各试验环境依据理想指数的综合优劣排序为沙湾>精河>五家渠>敦煌>博乐>石河子>奎屯>乌苏,早中熟棉区各试验环境的理想指数综合优劣排序为巴州>图木舒克>阿拉尔>库尔勒>莎车>拜城>库车>麦盖提。可见,乌苏和麦盖提点在品种试验方案优化中应当考虑更换,以提高试验的总体效率。本研究充分展示了LG双标图和GGE双标图在区域试验环境评价中的应用效果,为西北内陆棉区棉花品种试验方案优化提供了理论依据,也可为其他作物和其他目标区域的类似研究提供参考。
Plant breeding has played a key role in increasing agricultural productivity and meeting the increasing needs of the world,while the prevalence of genotype-by-environment interaction(GE)in multi-year,multi-location variety trials impedes variety selection and application efficiency.The Northwest Inland Cotton Production Region(NICPR)is currently the most important cottongrowing region,occupying more than 80%of the total cotton acreage in China.Therefore,megaenvironment(ME)investigation and test environment evaluation are beneficial for the rational utilization of experimental resources and the improvement of the efficiency of cotton variety trials conducted in the NICPR.The objective of the present study was to demonstrate the application efficiency of the existing genotype main effect plus GE(GGE)biplot and a newly proposed location grouping(LG)biplot in exploring ME and comprehensively evaluating test environments using identification ability,representativeness,and desirability index based on the lint cotton yield of national cotton variety trials in the NICPR from 2011 to 2020.(1)The LG biplot revealed that the majority of test environments,including Shawan,Wujiaqu,Kuytun,Shihezi,Dunhuang,Bole and Jinghe,belonged to the same ME and suitably represented the targeting early-maturing cotton production region,while the test environment Usu was delineated out as an outlier of the early-maturing cotton ME.The test environment Makit in the medium-early maturing ME was also identified as an outlier in the southern Xinjiang cotton growing region,while the other test environments covering Bazhou,Alaer,Shache,Kuqa,Baicheng,Korla,and Tumxuk were all positively correlated and suitably represented the medium-early maturing ME.(2)The differences in identification ability among all test environments were not significant at P>5%level.The representativeness and desirability of Usu and Markit displayed significant differences from other test locations in the same ME,while the differences among other test locations were not signi
作者
乔银桃
孙世贤
赵素琴
杨晓妮
许乃银
QIAO Yintao;SUN Shixian;ZHAO Suqin;YANG Xiaoni;XU Naiyin(School of Agricultural Engineering,Jiangsu University,Zhenjiang 212001,China;Institute of Industrial Crops,Jiangsu Academy of Agricultural Sciences,Nanjing 210014,China;National Extension and Service Center of Agricultural Technology,Beijing 100125,China;Xinjiang Uygur Autonomous Region Seed Industry Development Center,Urumqi 830006,China)
出处
《中国生态农业学报（中英文）》
CAS
CSCD
北大核心
2022年第8期1301-1308,共8页
Chinese Journal of Eco-Agriculture
基金
国家农业技术试验示范与服务支持项目(0120662912003)资助。
关键词
棉花
西北内陆棉区
GGE双标图
LG双标图
试验环境
品种生态区
Cotton
Northwest inland cotton production region(NICPR)
GGE biplot
LG biplot
Test environment
Mega-environment
