中国农业科学

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

甘蓝型油菜耐旱相关性状的主成分分析及综合评价

朱宗河1;2;郑文寅3;张学昆1   

  1. 1、中国农业科学院油料作物研究所/农业部油料作物生物学重点开放实验室,武汉 430062;
    2、安徽天禾农业科学技术研究院,合肥 230051;
    3、安徽农业大学农学院,合肥 230036
  • 收稿日期:2010-09-11 出版日期:2011-05-05 发布日期:2010-11-22
  • 通讯作者: 张学昆,Tel:027-86824573;E-mail:seedcq@263.net
  • 作者简介:朱宗河,E-mail:zhuzonghe_74@163.com
  • 基金资助:
    国家“十一五”科技支撑计划项目(2009BADA8B01,2010BAD01B09)、现代农业产业技术体系建设专项资金、农业部油料作物生物学重点实验室开放课题(201008)

Principal Component Analysis and Comprehensive Evaluation on Morphological and Agronomic Traits of Drought Tolerance in Rapeseed (Brassica napus L.)

ZHU Zong-he; ZHENG Wen-yin; ZHANG Xue-kun   

  1. 1、Institute of Oil Crops Research, Chinese Academy of Agricultural Sciences/Key Laboratory of Oil Crop Biology of the Ministry of Agriculture, Wuhan 430062;
    2、Anhui Tianhe Academy of Agricultural Science and Technology, Hefei 230051;
    3、Department of Agronomy, Anhui Agriculture University, Hefei 230036
  • Received:2010-09-11 Online:2011-05-05 Published:2010-11-22

摘要: 【目的】通过对花前和花后干旱胁迫下甘蓝型油菜形态及农艺性状多项指标的研究,筛选和鉴定甘蓝型油菜耐旱种质资源。【方法】以49份甘蓝型油菜为材料,考查花前和花后干旱胁迫及正常供水对照的侧根干重、总根干重、侧根体积、总根体积、根表面积、单株干重、茎杆干重、地上部鲜重、茎粗、绿叶数、叶面积、株高、一次分枝数、单株总角数、每角粒数、千粒重、单株籽粒产量等性状,以各性状的耐旱系数作为衡量耐旱性指标,利用主成分分析、回归分析及聚类分析对其进行耐旱性综合评价。【结果】将花前和花后干旱胁迫各15个单项指标综合成为各6个相互独立的综合指标,花前和花后耐旱性极显著正相关(r=0.593**)。系统聚类将49个基因型划分为高度耐旱、中度耐旱、不耐旱3类,在花前干旱胁迫中,不耐旱基因型有34个,中度耐旱12个,高度耐旱3个;在花后干旱胁迫中,不耐旱16个,中度耐旱29个,高度耐旱4个,其中,中油杂11、中双11选系在花前和花后2个时期干旱胁迫均表现高度耐旱。【结论】可利用主成分分析、隶属函数分析和聚类分析对甘蓝型油菜花前和花后耐旱性进行分类和综合评价,筛选甘蓝型油菜耐旱种质。

关键词: 甘蓝型油菜 , 耐旱性 , 筛选与鉴定 , 主成分分析 , 综合性评价

Abstract: 【Objective】 The morphological and agronomic traits of Brassica napus L. under drought stress during pre-flowering and post-flowering stage were studied for screening and identifying species with drought tolerance.【Method】 Principal component analysis, regression analysis and clustering analysis were used to evaluate the drought tolerance of 49 genotypes based on the morphological and agronomic traits under the conditions of normal water supply and drought stress during pre-flowering and post-flowering stage. This included lateral root dry weight, total root dry weight, lateral root volume, total root volume, total root area, plant dry weight, straw dry weight, above-ground fresh weight, stem diameter, number of green leaf, leaf area, plant height, number of primary branches, number of pods per plant, number of seeds per pod, 1000-seeds weight, and yield per plant.【Result】 Principal component analysis reduced the complex interrelationships between all variables to six independent major factors in each treatment. The drought tolerance of Brassica napus L. during pre-flowering and post-flowering had a significant positive correlation (r=0.593**). Forty-nine genotypes were clustered into 3 different levels of tolerance in each treatment. Three, 12 and 34 lines were classified as drought tolerant, medium tolerant and sensitive under drought stress during pre-flowering, respectively, however, 4, 29 and 16 under drought stress during post-flowering, respectively. 【Conclusion】 It is feasible to comprehensively evaluate the drought tolerance of Brassica napus L. at the stage of pre-flowing and post-flowering by principal component analysis, clustering analysis and subordinate function analysis which could be used to screen germplasm lines of Brassica napus L. for drought tolerance.

Key words: Brassica napus L. , drought tolerance , screening and identification , principal component analysis , comprehensive evaluation