首页|多元统计方法对北疆地区甘蓝型油菜主要农艺性状综合评价

多元统计方法对北疆地区甘蓝型油菜主要农艺性状综合评价

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本研究对北疆的20份甘蓝型油菜品种主要农艺性状进行相关性分析、主成分分析、隶属函数分析及聚类分析,以期筛选综合农艺性状良好的种质资源.结果表明,20份甘蓝型油菜种质资源主要农艺性状变异较大,变异系数为10.83%~39.09%,变异系数前三位为单株产量、单株角果数、主序角果数.根据主成分分析法计算得出综合隶属函数值,采用聚类分析法将20份甘蓝型油菜分为四大类群,筛选出综合农艺性状表现最优的种质资源1份,为Y2,该品种的单株产量适中,角果粒数、单株角果数、每厘米角果数、主序角果数最大,主序长度最长,茎粗最粗,株高最高,分枝高、分枝数相对较大,综合表现较好的种质资源9份.多元统计分析结果表明,Y2品种综合指标优秀,可用于北疆油菜育种中品种产量和主要性状的遗传改良.
Comprehensive Evaluation of Main Agronomic Traits of Brassica napus in Northern Xinjiang Based on Multivariate Statistical Methods
The correlation analysis,principal component analysis,membership function analysis and cluster analysis of the main agronomic characters of 20 Brassica napus varieties tested in northern Xinjiang were carried out to select the germplasm resources with good comprehensive agronomic char-acters.The results showed that the main agronomic traits of the 20 rapeseed germplasm resources had great variation,and the coefficient of variation ranged from 10.83%to 39.09%.The top three coeffi-cient of variation were yield per plant,number of corner fruits per plant and number of corner fruits in main sequence,so the yield per plant had the greatest difference among different rapeseed varieties.According to the principal component analysis method,the comprehensive membership function value was calculated,and 20 Brassica napus were divided into four groups by cluster analysis method,and one germplasm resource with the best comprehensive agronomic characteristics was selected,named Y2,which had moderate yield per plant,the largest number of kernels,kernels per plant,kernels per centimeter,and main sequence kernels,the longest main sequence length,the largest stem diameter,the highest plant height,relatively large branch height and branch number,and 9 germplasm resources with good overall performance.The multivariate statistical analysis showed that the comprehensive index of Y2 variety was judged to be excellent,which could be used for the genetic improvement of variety yield and main traits in rape breeding in Northern Xinjiang.

northern XinjiangBrassica napusmultivariate statisticscomprehensive evaluation

王贺亚、罗静静、孟玲、艾海峰、王斌、李怀胜、贾东海

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新疆生产建设兵团第九师农业科学研究所(畜牧科学研究所),新疆塔城 834600

新疆农业科学院,乌鲁木齐 832000

北疆 甘蓝型油菜 多元统计 综合评价

国家油菜产业技术体系与乌鲁木齐综合试验站第九师科技特派员创新创业项目(特色作物高产栽培科技特派员团队创新创业)

CARS-12

2024

种子
贵州省种子管理站 贵州省种子学会 中国种子协会

种子

CSTPCD北大核心
影响因子:0.502
ISSN:1001-4705
年,卷(期):2024.43(10)