摘要
利用统计分析系统SPSS软件 ,对引进日本的 89个粳稻品种的品质性状进行变异系数分析、主成分分析和相关分析。结果表明 :①垩白性状、整精米率、胶稠度、直链淀粉含量和蛋白质含量变异系数较大 ,具有较大的优选潜力 ;②糙米率、精米率、长宽比、垩白率、垩白度、碱消值、胶稠度和蛋白质含量是评价稻米品质的主要指标 ;③各性状相关性复杂。垩白大的品种整精米率低 ,粒长长和长宽比大的品种直链淀粉含量高 。
Variant coefficient, principal component and correlation analysis were performed to test quality characters of eighty-nine japonica rice varieties, which were introduced from Japan by the statistic analysis system of the SPSS. The results are: ①The properties of chalkiness, head rice rate, gel consistency, Amylose content and protein content have bigger CV, so better rice can be selected by breeding or cultivation; ②Brown rice rate, milled rice rate, length/width, chalky rice rate, chalkiness, gelatinization temperature, gel consistency and protein content are considered as the principal properties for estimating rice quality, from the results of principal components analysis; ③Correlation of different characters is so complex, head rice rate is minus to chalkiness. Amylose content is positive proportional to grain length and length/width, protein content is minus to grain length and length/width.
出处
《四川农业大学学报》
CSCD
2004年第3期209-212,共4页
Journal of Sichuan Agricultural University
基金
四川省科技厅应用基础项目
关键词
粳稻
稻米品质
变异系数
主成分分析
相关分析
japonica rice
rice quality
variant coefficient
principal component analysis
correlation analysis
