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农学学报 ›› 2020, Vol. 10 ›› Issue (5): 42-47.doi: 10.11923/j.issn.2095-4050.cjas19040009

所属专题: 油料作物

• 园艺/园林/食用菌 • 上一篇    下一篇

用加权改进的灰色关联度分析法进行新疆花生引种筛选

陈晋瑞(), 张磊磊, 杜珊珊, 库尔班·牙生, 洪梅()   

  1. 新疆巴音郭楞蒙古自治州农业科学研究院,新疆库尔勒 841000
  • 收稿日期:2019-04-09 修回日期:2019-05-22 出版日期:2020-05-15 发布日期:2020-05-16
  • 基金资助:
    新疆维吾尔自治区巴音郭楞蒙古自治州科学技术研究(“星火”)项目“花生新品种引进及高产栽培技术与示范”(201603)

Introduction and Screening of Peanut in Xinjiang by Weighted Improved Grey Correlation Degree Analysis

Chen Jinrui(), Zhang Leilei, Du Shanshan, , Hong Mei()   

  1. Academy of Agricultural Sciences in Bayinggoleng Mongolia Autonomous Prefecture, Korla 841000, Xinjiang, China
  • Received:2019-04-09 Revised:2019-05-22 Online:2020-05-15 Published:2020-05-16

摘要:

为筛选出目前适合新疆大规模种植、推广的花生品种提供必要的参考。笔者应用加权改进的灰色关联度分析方法对新疆18个引种花生品种(系)的10个农艺性状进行关联度分析。研究发现:'鲁花11'、'花育33'、'花育36'、'冀花5'、'花育22'、'花育71'、'鲁花14'、'冀花8'、'花育25'通过加权灰色关联分析,关联度系数均大于0.65,综合性状表现优良,这些品种更加适合新疆区域的大规模种植和推广。

关键词: 加权改进, 灰色关联度分析, 花生, 引种, 筛选, 新疆

Abstract:

The paper aims to provide necessary reference for screening out peanut varieties suitable for large-scale planting and popularization in Xinjiang. We carried out the correlation degree analysis of 10 agronomic characters of 18 introduced peanut varieties (lines) in Xinjiang by using weighted improved grey correlation degree analysis. The results showed that: the correlation coefficient of 'Lu Hua 11', 'Hua Yu 33', 'Hua Yu 36', 'Ji Hua 5', 'Hua Yu 22', 'Hua Yu 71', 'Lu Hua 14', 'Ji Hua 8', and 'Hua Yu 25' were all more than 0.65, and their comprehensive characters were excellent. Therefore, these varieties are more suitable for large-scale planting and promotion in Xinjiang.

Key words: Weighted Improvement, Grey Correlation Analysis, Peanut, Introduction, Screening, Xinjiang

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