摘要
为探讨大豆耐热性评价方法,对大豆进行耐热性鉴定,筛选耐热性分级评鉴指标,以国内外155份大豆品种(系)为材料,设置开花期和鼓粒期两个时期,分别于智能温室进行高温处理12d(40±2℃,9∶00-16∶00/d),以室外自然环境温度为对照。成熟期调查百粒重(X_1)、单株粒重(X_2)、单株荚重(X_3)等13项性状。根据各项性状耐热系数,通过主成分、隶属函数、聚类分析及逐步回归分析对大豆进行耐热性评价和分级鉴定指标筛选。结果表明,通过主成分分析将13个单项指标转化为6个综合指标,经隶属函数分析得出品种(系)开花期和鼓粒期耐热综合评价值D,分别对其进行聚类分析,155份大豆品种(系)在两个处理时期下均被分为6个类型,分别为强耐热型I、耐热型II、中度耐热型III、中度敏感型IV、敏感型V、极敏感型VI。两个处理时期综合评价值D呈极显著相关(r=0.262**),具有一定的一致性。综合两个处理时期鉴定结果,筛选到4个耐热品种(系)和63个热敏感品种(系),同时通过逐步回归分析筛选出百粒重、单株荚重、每荚粒数、茎粗、主茎节数、节间长度、蛋白质含量共7个开花期耐热性的鉴定指标和单株粒重、单株荚重、单株荚数、每荚粒数、地上部干物重、株高、节间长度共7个鼓粒期耐热性的鉴定指标。
To evaluate the heat tolerance and screen the identification indexes of different genotypes soybean,155 soybean cultivars（ lines） from China and other countries were used as experimental materials and treated in intelligence greenhouse for 12 days（ 40 ± 2℃,9 ∶ 00- 16 ∶ 00 / d） at flowering and seed filling stages respectively.Natural temperature outside greenhouse was used as control. 13 traits were investigated at mature stage,including100- seeds weight（ X1）,seed weight per plant（ X2）,pod weight per plant（ X3）,pods per plant（ X4）,seeds per plant（ X5）,seeds per pod（ X6）,shoot dry weight per plant（ X7）,stem length（ X8）,stem diameter（ X9）,main stem node number（ X（10））,internode length（ X（11））,protein content（ X（12）） and fat content（ X（13））. The heat tolerance coefficients of all traits were used to comprehensively evaluate the heat- tolerance and select the indexes of heat-tolerance for identification by principal component,membership function method,hierarchical cluster analysis and stepwise regression analysis. The results showed that 13 indexes were transformed into 6 comprehensive indexes through principal component analysis. The comprehensive heat- tolerance values（ D） of flowering and seed filling stages were obtained by the membership function method and further used for cluster analysis respectively. The 155 soybean cultivars（ lines） were classified into six types at both treatment stages,which were strong heat- tolerance type,heat- tolerance type,medium heat- tolerance type,medium sensitive type,sensitive type and strong sensitive type. The comprehensive heat- tolerance values（ D） of both treatment stages were significantly correlated（ r= 0. 262＊＊） and had a certain consistency. Considering the identification results of both treatment stages,this study selected 4 heat- tolerance cultivars（ lines） and 63 heat- sensitive cultivars（ lines）. Meanwhile,stepwise regression analysis showed that 100- seeds weight,pod weight per plant,seeds per pod,stem diameter,main stem node number,internode length and protein content could be used as identification indexes of heat tolerance at flowering stage. Seed weight per plant,pod weight per plant,pods per plant,seeds per pod,shoot dry weight per plant,stem length,and internode length could be used as identification indexes of heat tolerance at seed filling stage.
出处
《中国油料作物学报》
CAS
CSCD
北大核心
2016年第1期77-87,共11页
Chinese Journal of Oil Crop Sciences
基金
国家科技支撑计划(2011BAD35B06-2-10)
辽宁省科技攻关项目(201401677-3)
吉林省自然科学基金(20140101142JC)
关键词
大豆
耐热性
多元分析
主成分分析
隶属函数
聚类分析
逐步回归分析
鉴定指标
Soybean
Heat tolerance
Multivariate analysis
Principal component
Membership function method
Hierarchical cluster analysis
Stepwise regression analysis
Identification index
作者简介
靳路真（1990-），女，河南新乡人，硕士研究生，研究方向为大豆栽培生理，E—mail：909581309@qq．com
通讯作者：王跃强（1968-），男，研究员，研究方向为大豆种质资源，E-mail：825164942@qq．com
通讯作者：谢甫绨（1966-），男，教授，博士生导师，研究方向为大豆育种与栽培生理，E-mail：snsoybean@sohu.com
