云南间作大豆耐荫性综合评价及鉴定指标筛选
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  • 英文篇名:Comprehensive evaluation and screening identification index of shade tolerance of intercropping soybean
  • 作者:赵银月 ; 詹和明 ; 代希茜 ; 单丹丹 ; 王铁军
  • 英文作者:ZHAO Yin-yue;ZHAN He-ming;DAI Xi-xi;SHAN Dan-dan;WANG Tie-jun;Institute of Food Crops,Yunnan Academy of Agricultural Sciences;
  • 关键词:大豆 ; 耐荫性 ; 主成分分析 ; 隶属函数法 ; 系统聚类分析 ; 逐步回归
  • 英文关键词:soybean;;shade tolerance;;principal components analysis;;membership function method;;system cluster analysis;;stepwise regression analysis method
  • 中文刊名:ZGYW
  • 英文刊名:Chinese Journal of Oil Crop Sciences
  • 机构:云南省农业科学院粮食作物研究所;
  • 出版日期:2019-02-15
  • 出版单位:中国油料作物学报
  • 年:2019
  • 期:v.41;No.173
  • 基金:国家重点研发计划项目(2017YFD0101500);; 国家现代农业产业技术体系建设专项(CARS-04-CES29)
  • 语种:中文;
  • 页:ZGYW201901012
  • 页数:11
  • CN:01
  • ISSN:42-1429/S
  • 分类号:85-95
摘要
本文旨在探讨不同基因型大豆品种的耐荫特性,筛选出耐荫性鉴定指标,建立可用于耐荫性评价的数学模型。以44个大豆品种(系)为试验材料,在玉米-大豆间作下创设的自然荫蔽条件开展耐荫性鉴定,净种大豆作为对照。在各参试材料植株成熟期调查10个主要形态性状和产量性状,以各指标的耐荫系数为基础,采用多元统计方法对大豆的耐荫性进行综合评价。结果表明:与对照相比,受荫蔽胁迫后,参试材料的各性状变化趋势及幅度不同,各指标间都有不同程度的相关性。通过主成分分析,将10个单项指标转换为4个相互独立的综合指标,代表了全部数据79. 77%信息量。利用隶属函数法计算综合耐荫评价值(D),并对其进行系统聚类,将44个大豆品种(系)按照耐荫性强弱分为了强耐荫、中等耐荫和弱耐荫3大类。通过逐步回归建立了大豆耐荫性评价数学模型,并筛选出株高、主茎节数、有效分枝数、单株荚数、单株粒数、单株产量、每荚粒数和倒伏8个性状可作为云南省间作大豆耐荫性鉴定指标。
        The main purpose of the present study was to explore the methods of evaluating shade tolerance,analyze the shade tolerance of different soybean genotypes,screen suitable evaluation indicators of shade tolerance,and establish a mathematical evaluation model of shade tolerance. 44 soybean cultivars( lines) were treated under shading and natural light conditions in a field experiment. Corn-soybean intercropping system created the shading conditions in the field,and soybean single planting was used as control. 10 major morphological and yield characteristics of soybean cultivars( lines) were investigated during the mature period,based on the coefficient of the shade tolerance in each index,the shade tolerance of soybeans was evaluated with multivariate statistical method.The results showed that compared with the control,the changing trend of each characteristic and amplitude were different,each index existed in varying degrees of correlation. 4 independent comprehensive components were obtained from 10 single index by principal component analysis,which reflected 79. 77% information of all traits information. The method of membership function was adopted to calculate comprehensive shade tolerance value( D) and make cluster analysis,and 44 soybean cultivars( lines) were divided into 3 shade tolerance types,Class I was the high shade tolerance type,and Class II was the medium shade tolerance type. Class III was the low shade tolerance type. A mathematical evaluation model for shade tolerance of soybean was established by stepwise regression analysis. Based on the model,8 index including plant height,main stem node number,effective branch,pods per plant,seeds per plant,yield per plant,seeds per pod and lodging could be used for identifing intercropping soybean varieties to shade tolerance in Yunnan Province.
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