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草业学报 ›› 2023, Vol. 32 ›› Issue (4): 68-78.DOI: 10.11686/cyxb2022148

• 研究论文 • 上一篇    下一篇

39个我国不同生态区培育的青贮玉米品种在青海高原适应性研究

朱丽丽1,2,3(), 张业猛1,2,3, 李万才4, 赵亚利5, 李想1,2,3, 陈志国1,3()   

  1. 1.中国科学院西北高原生物研究所,青海 西宁 810008
    2.中国科学院大学生命科学学院,北京 100049
    3.中国科学院高原生物适应与进化重点实验室,青海 西宁 810008
    4.互助土族自治县种子站,青海 海东 810700
    5.海东市乐都区农业农村局,青海 海东 810700
  • 收稿日期:2022-03-31 修回日期:2022-06-16 出版日期:2023-04-20 发布日期:2023-01-29
  • 通讯作者: 陈志国
  • 作者简介:E-mail: zgchen@nwipb.cas.cn
    朱丽丽(1994-),女,青海海东人,在读硕士。E-mail: 2636143756@qq.com
  • 基金资助:
    青海省重点研发与转化计划项目(2022-NK-C04);中国科学院种子创新研究院(INASEED)资助

Adaption to the Plateau climate in Qinghai of 39 silage maize varieties cultivated in different ecological regions of China

Li-li ZHU1,2,3(), Ye-meng ZHANG1,2,3, Wan-cai LI4, Ya-li ZHAO5, Xiang LI1,2,3, Zhi-guo CHEN1,3()   

  1. 1.Northwest Plateau Institute of Biology,Chinese Academy of Sciences,Xining 810008,China
    2.College of Life Sciences,Chinese Academy of Sciences University,Beijing 100049,China
    3.Key Laboratory of Plateau Biological Adaptation and Evolution,Chinese Academy of Sciences,Xining 810008,China
    4.Huzhu Tu Nationality Autonomous County Seed Station,Haidong 810700,China
    5.Haidong City Ledu Bureau of Agriculture and Rural Affirs,Haidong 810700,China
  • Received:2022-03-31 Revised:2022-06-16 Online:2023-04-20 Published:2023-01-29
  • Contact: Zhi-guo CHEN

摘要:

对39个来自我国不同生态区的青贮玉米品种进行田间种植,采用主成分分析及灰色关联度分析对不同品种的农艺性状、生物学产量和营养品质进行综合评价和排序,筛选出在青海高原环境下适应性较好的品种。结果表明:依据国家玉米品种区划,东华北中晚熟春玉米类型区的晋单73号、京九青贮16和科大101,东华北中熟春玉米类型区的豫青贮23,热带亚热带玉米类型区的勤玉58和青青300,西北春玉米类型区的屯玉168,以及西南春玉米类型区的中玉335,8个青贮玉米品种在两种分析方法中的排名均在前10,说明这些品种性状综合表现较好,适宜在青海作为青贮玉米品种引种。

关键词: 青贮玉米, 主成分分析, 灰色关联度分析, 青海高原

Abstract:

The objective of this research was to identify silage maize varieties adapted to the Plateau climate in Qinghai from among 39 maize varieties cultivated in different ecological regions in China. We planted these varieties in experimental field plots. Principal component analysis and grey correlation analysis were used to provide a multivariate ranking based on agronomic traits, yields and nutritional analysis of the 39 maize varieties. The 39 varieties were sourced from 10 ecological regions recognized in the national maize variety system. It was found that the agronomic characters, biological yields and nutritional ingredients of eight varieties, including Jindan No.73, Jingjiu silage 16 and Keda 101 of the middle and late mature spring maize type region in North East China; Yu silage 23 of the middle-mature spring maize type region in North East China, Qinyu 58 and Qingqing 300 of the tropical and subtropical maize type region, Tunyu 168 of the northwest spring maize type region, and Zhongyu 335 of the southwest spring maize type region, ranked in the top 10 based on the two analysis methods, indicating that the overall performance of these varieties was better than the others. Hence these 8 varieties can be recommended as suitable for planting in Qinghai.

Key words: silage maize, principal component analysis, grey correlation analysis, Qinghai plateau