摘要
本研究对76个高产粳稻品种的叶面积指数等13项生理指标进行测定,研究高产粳稻品种的源库特征及评价体系。利用主成分分析从13个性状中确定了5个关键指标。采用动态聚类分析方法将76个水稻品种划分为源库互作型、增库增产型、增源增产型和源库饱和型4种库源类型。利用判别函数分析方法以5个关键性状作为变量建立了高产水稻品种源库种质资源评价体系,通过检验发现该判别函数的判别精度达到98.9%。该结果为今后高产粳稻品种源库类型的评价提供了理论依据。
In order to study source-sink characteristics and establish standardized evaluation system of source-sink type for high-yield rice varieties, thirteen physiological indices of 76 high-yielding rice varieties were measured.Five key indices were identified from 13 traits by principal component analysis. Using dynamic clustering method,76 rice varieties were classified into four types, including source-sink interaction type, increase production by increase sink type, improving production by increasing source type, and saturated source-sink type. The discriminant function for evaluating the source and sink of high-yield rice varieties was established with five key indicators as variables. Through verification, it is found that the discriminant accuracy of the discriminant function is 98.9%. The results provide a theoretical basis for the evaluation of source-sink types of high-yielding japonica rice varieties.
作者
姜文洙
吴涛
唐曹甲子
王彩芬
马静
强爱玲
都兴林
JIANG Wenzhu;WU Tao;TANGCAO Jiazi;WANG Caifen;MA Jing;QIANG Ailing;DU Xinglin(College of Plant Science,Jilin University,Changchun 130062;Crop Research Institute,Ningxia Academy of Agricultural and Forestry Sciences,Yinchuan 750002,China)
出处
《东北农业科学》
北大核心
2019年第5期1-4,37,共5页
Journal of Northeast Agricultural Sciences
基金
国家重点研发项目(2017YFD0100504)
吉林省科技厅重点项目(20190301029NY)
关键词
粳稻
源库
关键性状
判别分析
评价
Japonica rice
Source-sink
Key traits
Discriminant analysis
Evaluation