摘要
为更好地服务新疆棉花生产,揭示32个棉花品种不同处理条件下各品种的特征特性,为优质棉花品种客观评价提供科学依据。采取不化学调控和化学调控2种处理,分别调查各品种的16个表型性状,应用DPS 7.05软件对数据进行分析和整理。结果表明,不同棉花品种性状存在明显变异,差异分析表明未化学调控和化学调空棉花品种的株高、单株果节数、倒三果枝长度、倒三果枝铃数、铃重、上半部平均长度6个性状的差异达极显著水平。主成分分析表明,未化学调控下前5个主成分涵盖了72.36%的信息,化学调控条件下前6个主成分涵盖了76.91%的信息。综合得出,化学调控条件下较好的品种(系)是‘新陆中66’‘、K836’‘、A03’‘、917’‘、邯棉646’‘、C9’,未化学调控条件下较好的品质依次是‘新陆中61’、‘中棉97’、‘邯棉646’、‘577’、‘新农兴2号’、‘K836’。主成分分析作为优良品种评价选择标准,避免了性状间相互作用造成的重复选择,较传统的评价选择方法更加科学准确,综合性强,因此新疆棉花品种的评价、选择、更新应以化学调控管理为准。
To better serve the cotton production in Xinjiang,reveal the characteristics of 32 cotton varieties under different treatment conditions,and provide a scientific basis for the objective evaluation of high-quality cotton varieties,we investigated 16 phenotypic traits of each variety by adopting 2 treatments of non-chemical control and chemical control,and analyzed and collated the data by using DPS 7.05 software.The results showed that:there were significant differences among the traits of different cotton varieties,the difference analysis indicated that the difference of plant height,fruiting nodes per plant,the length and boll numbers of the third from top fruiting branches,boll weight,and upper half fiber length under the two treatments reached a very significant level;PCA analysis revealed that the first 5 PCA represented 72.36%information with nonchemical control and the first 6 PCA represented 76.91%information with chemical control.In conclusion,the varieties with better traits with chemical control are‘Xinluzhong66’,‘K836’,‘A03’,‘917’,‘Hanmian 646’and‘C9’,and the varieties with better traits with non-chemical control are‘Xinluzhong 61’,‘Zhongmian97’,‘Hanmian646’,‘Hanmian 577’,‘Xinnongxing2’and‘K836’.PCA as the criteria to evaluate and select elite cotton varieties could avoid repetitive selections caused by interactions among different traits,which is more scientific,accurate and comprehensive compared with the traditional evaluation method,therefore,the evaluation,selection and renewal of cotton varieties in Xinjiang should be based on the chemical control.
作者
彭延
黄顺礼
彭小峰
刘素华
蔡志平
李克福
刘晓红
邵青龙
吴玉蓉
王凡
宋伟
张选
龚举武
袁有禄
Peng Yan;Huang Shunli;Peng Xiaofeng;Liu Suhua;Cai Zhiping;Li Kefu;Liu Xiaohong;Shao Qinglong;Wu Yurong;Wang Fan;Song Wei;Zhang Xuan;Gong Juwu;Yuan Youlu(Institute of Agricultural Sciences of the Third Division of the Xinjiang Production and Construction Corps,Tutnushuke Xijiang 843900;Southwestern University,Chongqing 400715;State Key Laboratory of Cotton Biology,Institute of Cotton Research of Chinese Academy of Agricultural Sciences,Anyang Henan 455000;Qianhai Seed Industry in Xinjiang,Tumushuke Xinjiang 843900)
出处
《中国农学通报》
2020年第28期22-30,共9页
Chinese Agricultural Science Bulletin
基金
新疆兵团农业科技攻关及成果转化专项“中长绒陆地棉种质变化分析及创新”(2015AC030)
国家棉花产业技术体系抗逆栽培岗位(CARS-15-15)。
关键词
棉花
品种
化学调控
相关性分析
主成分分析
cotton
variety
chemical control
correlation analysis
principal component analysis(PCA)