作物杂志,2020, 第3期: 66–72 doi: 10.16035/j.issn.1001-7283.2020.03.011

• 遗传育种·种质资源·生物技术 • 上一篇    下一篇

黄淮海夏大豆品种(系)主要农艺性状的综合性分析

常世豪, 杨青春, 舒文涛, 李金花, 李琼, 张保亮, 张东辉, 耿臻()   

  1. 周口市农业科学院,466001,河南周口
  • 收稿日期:2019-12-13 修回日期:2020-03-02 出版日期:2020-06-15 发布日期:2020-06-10
  • 通讯作者: 耿臻 E-mail:gengzhen0616@163.com
  • 作者简介:常世豪,主要从事大豆遗传育种与栽培技术研究,E-mail: 792696241@qq.com
  • 基金资助:
    国家重点研发计划(2017YFD0101406)

Comprehensive Analysis of Main Agronomic Traits of Summer Sowing Soybean Varieties (Lines) in Huang-Huai-Hai Region

Chang Shihao, Yang Qingchun, Shu Wentao, Li Jinhua, Li Qiong, Zhang Baoliang, Zhang Donghui, Geng Zhen()   

  1. Zhoukou Academy of Agricultural Sciences, Zhoukou 466001, Henan, China
  • Received:2019-12-13 Revised:2020-03-02 Online:2020-06-15 Published:2020-06-10
  • Contact: Zhen Geng E-mail:gengzhen0616@163.com

摘要:

以2018年黄淮海区试60个夏大豆参试品种(系)为材料,对12个主要农艺性状进行综合性分析。统计分析结果显示: 中组平均产量最高,南组平均粗蛋白含量最高;有效分枝数的变异系数最高,生育期的变异系数最低。相关性分析结果显示: 产量与单株有效荚数、单株粒数呈显著正相关,与单株粒重呈极显著正相关,与主茎节数呈显著负相关;百粒重与株高、主茎节数呈显著负相关,与单株有效荚数、单株粒数呈极显著负相关;粗蛋白含量与粗脂肪含量呈极显著负相关。主成分分析结果显示: 12个主要农艺性状被提取到4个主成分,累计贡献率达76.78%。聚类分析结果显示: 60个品种(系)被分为2大类,每类又分为2个亚群,但60个品种(系)未按照北组、中组和南组的地域而区分开,说明黄淮海区域大豆品种(系)遗传背景相似。

关键词: 大豆, 农艺性状, 主成分分析, 聚类分析

Abstract:

A total of 12 important agronomic traits from the 60 summer sowing soybean varieties (lines) was tested in Huang-Huai-Hai region. The result of the statistical analysis showed that the average yield and the crude protein content of middle group varieties (lines) was the highest. The coefficient of variation of effective branch number was the highest and the coefficient of variation of growth period was the lowest. The results of the correlation analysis showed that yield had extremely significant positive correlation with effective pod number per plant, seed number per plant and seed weight per plant, but negative correlation with number of the main stem nodes. The 100-seed weight had a negative correlation with plant height, number of the main stem nodes, effective pod number per plant and seed number per plant. The crude protein content was negatively corelated with crude fat content. The result of principal component analysis showed that 12 important agronomic traits were extracted into 4 principal components and their cumulative contribution rate was 76.78%. The result of cluster analysis showed that the 60 varieties (lines) were divided into 2 groups, and each group was divided into 2 subgroups. The 60 varieties (lines) were not distinguishable due to the region of the north, middle and south group, indicated that the genetic backgrounds of soybean varieties (lines) in the Huang-Huai-Hai region were similar.

Key words: Soybean, Agronomic trait, Principal component analysis, Cluster analysis

表1

黄淮海夏大豆主要农艺性状的变异系数"

性状Trait 北组North group 中组Middle group 南组South group
平均数±标准差
Mean±SD
变异范围
Range
变异系数
CV(%)
平均数±标准差
Mean±SD
变异范围
Range
变异系数
CV(%)
平均数±标准差
Mean±SD
变异范围
Range
变异系数
CV(%)
产量** Yield (kg/hm2) 2 735.8±8.8Bc 2 442.0~2 961.0 0.05 2 961.8±10.9Aa 2 730.0~3 367.5 0.06 2 858.0±9.7ABb 2 515.5~3 462.0 0.05
生育期** Growth period (d) 107.5±1.8Bb 105.0~110.0 0.02 112.1±1.3Aa 109.9~114.7 0.01 102.8±2.3Cc