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甘蓝型油菜主要农艺性状的主成分分析
引用本文:尚丽平,赵卫国,郭凯红,张立坚,罗斌,赵亚军,王灏.甘蓝型油菜主要农艺性状的主成分分析[J].中国农学通报,2021,37(28):9-13.
作者姓名:尚丽平  赵卫国  郭凯红  张立坚  罗斌  赵亚军  王灏
作者单位:陕西省杂交油菜研究中心,陕西杨凌 712100
基金项目:陕西省重点产业创新链项目“油菜抗倒抗根肿病及氮营养高效种质资源挖掘与创新”(2020ZDLNY04-01);西藏阿里地区科技计划项目“阿里地区油菜引种试验示范及配套栽培技术研究”(ALKJ-BJCZ-2021-01);陕西省农业科技创新与攻关项目“甘蓝型油菜株高基因定位及矮杆抗倒适宜机械化收获品种选育”(2019NY-048);“优质高产彩色宜观赏油菜种质创新与新品种选育”(2020NY-057)
摘    要:为了研究甘蓝型油菜各农艺性状之间的相互关系,提高油菜新品种的选育效率,对229份DH纯系材料进行农艺性状(包括株高、分枝高度、一次分枝数、主花序长度、主花序角果数、单株经济学产量和单株生物学产量等)的相关性和主成分分析。结果表明,株高、分枝高度、主花序长度、单株生物学产量和单株经济学产量等5个性状偏向于父本,而一次分枝数和主花序角果数偏向于母本。相关性分析显示,株高、分枝高度、主花序角果数、单株经济学产量和单株生物学产量之间均呈现极显著正相关,一次分枝数与株高和分枝高度之间呈负相关。主成分分析可将农艺性状综合为株高因子、一次分枝数因子、主花序角果数因子和分枝高度因子,累计贡献率达90.0%,基本涵盖了农艺性状的全部信息。

关 键 词:甘蓝型油菜  农艺性状  相关性分析  主成分分析  油菜育种  
收稿时间:2020-12-18

Principal Component Analysis of Main Agronomic Traits in Brassica napus Population
Shang Liping,Zhao Weiguo,Guo Kaihong,Zhang Lijian,Luo Bin,Zhao Yajun,Wang Hao.Principal Component Analysis of Main Agronomic Traits in Brassica napus Population[J].Chinese Agricultural Science Bulletin,2021,37(28):9-13.
Authors:Shang Liping  Zhao Weiguo  Guo Kaihong  Zhang Lijian  Luo Bin  Zhao Yajun  Wang Hao
Institution:Hybrid Rapeseed Research Center of Shaanxi Province, Yangling Shaanxi 712100
Abstract:To study the relationship among agronomic traits of Brassica napus and improve the breeding efficiency of new varieties, the correlation analysis and principal component analysis of agronomic traits were carried out for 229 DH materials, those traits included plant height, height of branch, number of first effective branches, height of main inflorescence, number of main inflorescence pods, economic yield per plant and biological yield per plant. The results showed that: plant height, height of branch, height of main inflorescence, economic yield per plant and biological yield per plant were partial to male parent, but the number of first effective branches and the number of main inflorescence pods were partial to female parent. The correlation analysis indicated that plant height, height of branch, number of main inflorescence pods, economic yield per plant and biological yield per plant were significantly and positively correlated, and the number of first effective branches was negatively correlated with plant height and branch height. Through the principal component analysis, the rapeseed quality traits could be integrated into plant height, number of first effective branches, and number of main inflorescence pods and branch height, with the total cumulative contribution rate of 90.0%, which basically covered the full information of the agronomic traits of Brassica napus.
Keywords: Brassica napus  agronomic traits  correlation analysis  principal component analysis  rapeseed breeding  
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