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中国农学通报

中国农学通报 ›› 2021, Vol. 37 ›› Issue (24): 18-24.doi: 10.11924/j.issn.1000-6850.casb2020-0664

所属专题： 玉米； 烟草种植与生产

• 农学·农业基础科学 • 上一篇    下一篇

基于GGE双标图分析广东省甜玉米品种多点试验产量性状

李余良1,2(), 熊婷3, 刘建华1, 李高科1, 李武1,2, 谢利华1,2   

  1. 1广东省农业科学院作物研究所,广州 510640
    2广东省农作物遗传改良重点实验室,广州 510640
    3广东省农业技术推广总站,广州 510520
  • 收稿日期:2020-11-04 修回日期:2021-04-13 出版日期:2021-08-25 发布日期:2021-08-27
  • 作者简介:李余良,男,1969年出生,陕西渭南人,研究员,博士,主要从事鲜食甜糯玉米遗传育种研究。通信地址：510640 广州市天河区五山金颖路18号 广东省农业科学院作物研究所,Tel：020-87564526,E-mail： yl.lee@126.com。
  • 基金资助:
    广东省现代农业产业技术体系“种业共性关键技术”(2020KJ106);广东省现代农业产业技术体系“种业共性关键技术”(2021KJ106);广东省现代种业提升项目“广东省玉米品种区试及特性鉴定”(粤财农[2020]100号)

Analysis of Yield Traits of Sweet Corn at Multi-location Tests in Guangdong Based on GGE-biplot

Li Yuliang1,2(), Xiong Ting3, Liu Jianhua1, Li Gaoke1, Li Wu1,2, Xie Lihua1,2   

  1. 1Grops Research Institute, Guangdong Academy of Agricultural Science, Guangzhou 510640
    2Key Laboratory of Crops Genetics and Improvement of Guangdong Province, Guangzhou 510640
    3Guangdong Province General Station for Agriculture Technology Extension, Guangzhou 510520
  • Received:2020-11-04 Revised:2021-04-13 Online:2021-08-25 Published:2021-08-27

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摘要：

为明确甜玉米不同品种在广东省区域试验中的丰产性与稳定性、各试点环境的代表性与鉴别力,以2018—2019年广东省甜玉米区域试验18个参试品种的产量性状数据为研究对象,利用GGE-biplot方法对其进行分析。结果表明,2018年试验中‘粤甜33号’、浙甜808’、‘新美甜816’在丰产性和稳定性表现位居前三,2019年试验中,‘粤甜33号’、‘华美甜468’、‘新美甜816’在丰产性方面居前三位,稳定性好的品种依次为‘粤甜33号’、‘粤甜16号’、‘正甜89’,2年试验‘粤甜33号’在丰产性和稳定性方面综合表现最好,其适应性也最强。各试点环境之间呈正相关关系,说明各试点均有较好的代表性,部分试点环境之间存在紧密正相关,广州和英德两个生态区分别是2018年和2019年理想试点环境,对品种有较好地环境鉴别力和代表性。

关键词: GGE双标图, 甜玉米, 多点试验, 产量, 区域布局

Abstract:

To clarify the high yield and the stability of sweet corn varieties, and the representativeness and the discriminability of the testing sites in Guangdong Province regional test, the yield data of 18 sweet corn varieties of 2018-2019 Guangdong Province regional test were analyzed by GGE-biplot (genotype main effect plus genotype-environment interaction). The results showed that ‘Yuetian 33’, ‘Zhetian 808 ’and ‘Xinmeitian 816’ in the test of 2018 were in the first three places in terms of high yield and stable yield. In the test of 2019, ‘Yuetian 33’, ‘Huameitian 468 ’and ‘Xinmeitian 816’ were in the first three places in terms of high yield, and ‘Yuetian 33’, ‘Yuetian 16’ and ‘Zhengtian 89’ had the best stability. ‘Yuetian 33’ had the best comprehensive performance, stability and adaptability in the two years’ test. There is a positive correlation among all test environments, indicating that they have good representativeness. A close positive correlation is found between some of the test environments, Guangzhou and Yingde ecological zones are the most ideal sites for 2018 and 2019, respectively, which have good environmental representativeness and discriminability for sweet corn varieties.

Key words: GGE-biplot, sweet corn, multi-location test, yield, regional distribution

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