AMMI模型和GGE双标图在湖北省油菜区域试验中的应用

doi:10.14088/j.cnki.issn0439-8114.2018.12.007

摘要/Abstract

摘要： 利用GenStat Version 18.1的AMMI模型及GGE双标图对2017年度湖北省油菜区域试验中参试品种的产量数据进行分析,综合评价了参试品种的丰产性、稳定性及各试点的鉴别力和代表性。结果表明,品种产量在不同品种、试点间存在极显著差异,品种和试点之间存在极显著互作效应。丰产性较好的品种有圣光168、华高油1号、华油杂702、利油杂6号、圣光136;稳定性较好的品种有利油618、华油杂9号、华油杂652、阳光160、华高油1号。在品种的适应性方面,产量较高但稳定性相对较差的品种圣光168适宜在孝感综合试验站、黄冈综合试验站、襄阳综合试验站、中国农业科学院油料作物研究所几个试点种植。综合评价较好的品种有圣光168、华油杂702、圣光136、华高油1号。在试点的功能形态方面,鉴别力较好的试点有沙洋综合试验站、潜江综合试验站、孝感综合试验站、宜昌综合试验站,代表性较好的试点有黄冈综合试验站、中国农业科学院油料作物研究所、孝感综合试验站、随州综合试验站,综合性较好的试点有孝感综合试验站、黄冈综合试验站、随州综合试验站、宜昌综合试验站。综合利用AMMI模型及GGE双标图可以为品种多系布局筛选优异品种在适宜区域种植提供参考,同时为筛选广适性优良新品种提供有效的方法和理论依据。

关键词: 油菜, 区域试验, AMMI模型, GGE双标图, 产量

Abstract: This study analyzed the yield data of tested varieties in the 2017 Hubei rape regional trial by the AMMI model of GenStat Version 18.1 and GGE biplot, to comprehensively evaluate the yielding ability and stability of tested varieties, as well as the discriminability and representativeness of each test location. The results showed that, yields were significantly different for different varieties and test sites, and there was a very significant interaction between varieties and test sites. Shengguang168, Huayougao1, Huayouza702, Liyouza6 and Shengguang136 had better yielding ability, Liyou618, Huayouza9, Huayouza652, Yangguang160 and Huagaoyou1 had better stability. In variety adaptability, the variety Shengguang136 with better yielding ability and worse stability was suitable for planting in Xiaogan, Huanggang, Xiangyang and Zhongyousuo. Variety Shengguang168, Huayouza702, Shengguang136 and Huayougao1 had best comprehensive evaluation. In the functional form of the pilot, the pilots with better discrimination were Shayang, Qianjiang, Xiaogan and Yichang, the pilots with better representativeness were Huanggang, Zhongyousuo, Xiaogan and Suizhou, the pilots with better comprehensiveness included Xiaogan, Huanggang, Suizhou and Yichang. Comprehensive utilization of the AMMI and GGE biplot could provide reference for screening excellent varieties in suitable areas and offer an effective method and theoretical basis for screening new improved varieties with wide adaptability.

Key words: rape, regional trial, AMMI model, GGE biplot, yield

中图分类号:

F303.2

黄大明, 谢雄泽, 白桂萍, 谢捷. AMMI模型和GGE双标图在湖北省油菜区域试验中的应用[J]. 湖北农业科学, 2018, 57(12): 24-29.

HUANG Da-ming, XIE Xiong-ze, BAI Gui-ping, XIE Jie. Application of AMMI Model and GGE Biplot in Rape Regional Trial of Hubei[J]. HUBEI AGRICULTURAL SCIENCES, 2018, 57(12): 24-29.

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