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中国农学通报

中国农学通报 ›› 2020, Vol. 36 ›› Issue (29): 32-36.doi: 10.11924/j.issn.1000-6850.casb20200300213

所属专题： 园艺

• 农学·农业基础科学 • 上一篇    下一篇

白菜单株产量与主要农艺性状关系的分析

赖佳(), 黄玲, 韦树谷, 代顺冬, 盛玉珍, 张骞方, 叶鹏盛()   

  1. 四川省农业科学院经济作物育种栽培研究所/蔬菜种质与品种创新四川省重点实验室,成都 610300
  • 收稿日期:2020-03-16 修回日期:2020-05-04 出版日期:2020-10-15 发布日期:2020-10-16
  • 通讯作者: 叶鹏盛
  • 作者简介:赖佳,男,1987年出生,四川三台人,农艺师,硕士,研究方向：蔬菜育种和栽培研究。通信地址：610300 四川省成都市青白江区华金大道三段159号 四川省农业科学院经济作物育种栽培研究所,Tel：028-68907210,E-mail：laijia028@163.com
  • 基金资助:
    四川省“十三五”育种攻关项目“突破性蔬菜育种材料与方法创新”(2016NYZ0033);四川省区域创新合作项目“川藏高原优质耐抽薹白菜新品种选育与应用”(2020YFQ0043)

Yield per Plant and Main Agronomic Characters of Chinese Cabbage: Relationship Analysis

Lai Jia(), Huang Ling, Wei Shugu, Dai Shundong, Sheng Yuzhen, Zhan Qianfang, Ye Pengsheng()   

  1. Industrial Crops Research Institute, Sichuan Academy of Agricultural Sciences/Vegetable Germplasm Innovation and Variety Improvement Key Laboratory of Sichuan, Chengdu 610300
  • Received:2020-03-16 Revised:2020-05-04 Online:2020-10-15 Published:2020-10-16
  • Contact: Ye Pengsheng

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摘要：

为揭示主要农艺性状对白菜单株产量的影响,以16份白菜新品系为试材,对其单株产量与8个农艺性状进行相关分析、偏相关分析、多元逐步回归分析和通径分析。结果表明,各性状中变异系数最大的为最大叶叶柄长,其次为单株产量;最大叶叶宽与单株产量达到极显著正相关,株幅与单株产量达到显著正相关;偏相关分析中单株产量与8个农艺性状均呈正相关,其中叶片数和最大叶叶宽与单株产量呈极显著正相关,其余偏相关系数较大的依次为最大叶叶柄厚和株幅;多元逐步回归分析表明Y（单株产量）=-1480.847+31.562X5（最大叶叶宽）+26.028X3（叶片数）+13.425X2（株幅）+429.535X8（最大叶叶柄厚）为单株产量性状的最优回归方程式,决定系数R2=0.930;8个农艺性状对单株产量性状的直接通径系数均为正值,排名前4的性状依次为最大叶叶宽>叶片数>最大叶叶柄厚>株幅。因此,在白菜丰产新品种选育中,应重点做好最大叶叶宽和叶片数性状的选择,同时兼顾最大叶叶柄厚和株幅等性状。

关键词: 白菜, 单株产量, 农艺性状, 相关分析, 偏相关分析, 回归分析, 通径分析

Abstract:

To reveal the effect of main agronomic characters on the yield per plant of Chinese cabbage, 16 new varieties were used as materials, and the correlation analysis, partial correlation analysis, multiple stepwise regression analysis and path analysis were conducted to analyze yield per plant and 8 agronomic characters. The results showed that the variation coefficient of the maximum leaf petiole length was the largest, followed by yield per plant. The maximum leaf width had an extremely significant and positive correlation with the yield per plant, while the plant width was significantly and positively correlated with the yield per plant. The partial correlation analysis showed that the yield per plant was positively correlated with all the 8 agronomic characters, among which the leaf number and the maximum leaf width were extremely and significantly correlated with the yield per plant, while the partial correlation coefficients between other characters and yield per plant were the maximum leaf petiole thickness and the plant width in order. The multiple stepwise regression analysis indicated that Y (yield per plant) = -1480.847 + 31.562X5 (the maximum leaf width) + 26.028X3 (the number of leaves) + 13.425X2 (the plant width) + 429.535X8 (the maximum leaf petiole thickness) was the optimal regression equation for yield per plant character, whose coefficient of determination R2 was 0.930. The direct path coefficients of the 8 agronomic characters to the yield per plant were all positive, and the top 4 characters were in the order of the maximum leaf width > the number of leaves > the maximum leaf petiole thickness > the plant width. Therefore, in the high yield breeding practice of Chinese cabbage, it is necessary to focus on the selection of the characters of the maximum leaf width and leaf number, and the maximum leaf petiole thickness and plant width should also be considered.

Key words: Chinese cabbage, yield per plant, agronomic characters, correlation analysis, partial correlation analysis, regression analysis, path analysis

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