摘要
本试验旨在构建夏玉米品种光温资源利用能力的评价体系并筛选出光温资源高效利用品种。应用主成分分析、隶属函数法、聚类分析及逐步回归分析等多元分析方法,对65个玉米品种的光温资源利用效率进行综合评价。结果表明:供试玉米品种的光截获能力、光合生理特性等指标均存在较大的基因型差异。通过主成分分析选出9个综合因子,其累计贡献率达到90.13%,以此计算出各品种的隶属函数值,并以其贡献率计算权重,最后算出65个品种光温资源利用能力的综合评价值(D值)。基于D值所作聚类分析将所有品种按光温资源利用能力划分为3类,其中登海605、NK718、京农科736、金海13号等28个品种具有较高光温资源利用能力。通过逐步回归分析建起玉米光温资源利用综合评价数学模型,即:D=(-928.23+0.17×干物质产量+6.36×开花期上层叶片SPAD值+5.38×开花期中层叶片SPAD值+4.64×成熟期下层叶片SPAD值+165.19×中部叶面积指数)/1000。该评价体系可广泛用于不同玉米品种光温利用能力的快速鉴定和预测。
The purpose of this experiment was to establish an evaluating system of utilization ability of light and temperature resources of summer maize varieties.Multiple statistics analyses including principal component analysis,membership function method,cluster analysis and stepwise regression analysis were used to evaluate the utilization efficiency of light and temperature resources of 65 maize varieties.The results showed that genotypic differences in light-intercepting capability and photosynthetic physiological characteristics obviously existed among the tested maize varieties.By principal component analysis,9 comprehensive factors were obtained with a cumulative contribution rate as 90.13%.The comprehensive evaluation value(D value)on utilization efficiency of light and temperature resources of each maize variety was obtained by calculating its membership function value and weighting the values with the contribution rate of the 9 principal components.Based on the D values,all the maize varieties were clustered into three groups according to their light and temperature resource utilization ability,among them,28 maize varieties had higher light and temperature utilization ability(e.g.,Denghai 605,NK718,Jingnongke 736,Jinhai 13).Stepwise regression analysis was used to establish a mathematic model for comprehensive evaluation of the light and temperature utilization ability of maize,that was D=(-928.23+0.17×dry matter yield+6.36×SPAD value of upper leaves at flowering stage+5.38×SPAD value of middle leaves at flowering stage+4.64×SPAD value of lower leaves at mature stage+165.19×leaf area index of middle leaves)/1000.The evaluation system was suitable for rapid examination and prediction of light and temperature utilization ability of different maize varieties.
作者
王平
徐加利
闫保罗
李平海
宗燕
李芳
刘翔攀
Wang Ping;Xu Jiali;Yan Baoluo;Li Pinghai;Zong Yan;Li Fang;Liu Xiangpan(Taian Academy of Agricultural Sciences,Taian 271000,China;Taian Seed Management Station,Taian 271000,China)
出处
《山东农业科学》
2020年第10期71-77,共7页
Shandong Agricultural Sciences
基金
国家重点研发计划项目(2017YFD0301001)
山东省农业重大应用技术创新项目(SD2019ZZ013)
山东省现代农业技术产业体系玉米创新团队项目(SDAIT-02-03)
山东省农业良种工程项目(2019LZGC002)。
关键词
玉米
光温资源利用能力
主成分分析
聚类分析
回归分析
综合评价
Maize
Light and temperature utilization ability
Principal component analysis
Cluster analysis
Stepwise regression analysis
Comprehensive evaluation
