摘要
为通过农艺性状、纤维性状预测棉籽品质,以27份陆地棉为试验材料,对其10个农艺性状、3个种子品质性状和5个纤维品质性状连续2年进行鉴定,利用方差分析、相关性分析、主成分分析和聚类分析对农艺性状、纤维性状与种子品质性状间的关系进行解析。结果表明,油分含量与衣分呈极显著负相关,与果枝数呈极显著正相关;棉酚含量与叶面积呈显著负相关。主成分分析提取出6个主成分,累计贡献率为78.755%,其中第3主成分和第5主成分为棉籽副产品因子,贡献率为20.470%。综合分析得出果枝数、衣分和叶面积与棉籽副产品关系密切。以上结果为深入研究农艺性状与棉籽油分、蛋白质和棉酚的内在关系奠定了基础,为选育特种棉提供了理论参考。
To prediction seed quality through the agronomic traits and fiber properties,27 upland cotton varieties were as materials.10 agronomic traits,3 seed quality traits and 5 fiber quality traits of 27 varieties were evaluated in 2 years.The relationship between agronomic traits and fiber properties with the quality traits of seed were analyzed by variance analysis,correlation analysis,principal component analysis and cluster analysis.The results showed that oil content was negatively correlated with lint content and positively correlated with fruit branch number.There was a significant negative correlation between gossypol content and leaf area.6 principal components were extracted by principal component analysis,with a total contribution rate of 78.755%.The 3rd and 5th principal components were cottonseed by-product factors,with a contribution rate of 20.470%.Further analysis showed that the number of fruit branches,lint percentage and leaf area were closely related to cottonseed by-products.The above results laid a foundation for the study of their internal relationship with cottonseed oil content,protein and gossypol,and provided theoretical reference for the selection of special cotton.
作者
刘鹏飞
陆小双
迪力木拉提·热合曼
唐努尔·斯拉依
曲延英
陈全家
邓晓娟
LIU Pengfei;LU Xiaoshuang;Dilimurat Reheman;Tangnur Slay;QU Yanying;CHEN Quanjia;DENG Xiaojuan(College of Agriculture,Xinjiang Agricultural University,Urumqi 830052,China;Engineering Research Centre of Cotton of Ministry of Education,Xinjiang Agricultural University,Urumqi 830052,China)
出处
《中国农业科技导报》
CAS
CSCD
北大核心
2023年第8期22-32,共11页
Journal of Agricultural Science and Technology
基金
新疆维吾尔自治区重大科技专项(2021A02001-3)。
关键词
陆地棉
棉籽副产品
农艺性状
纤维品质
相关性
upland cotton
cottonseed by-products
agronomic traits
fiber quality
correlation