Diversity evaluation of machine-picked agronomic traits in Gossypium barbadense L.germplasm resources
[Objective]The agronomic characters of sea island cotton germplasm resources were analyzed in order to provide candidate materials for its parent selection and variety cultivation in the future.[Methods]125 sea island cotton germplasm resources with zero fruit branches were selected to analyze the coefficient of variation,genetic diversity,correlation,principal component and agronomic characters.[Results]Indicating that the 125 sea island cotton germplasm resources in this study had great differences and were rich in germ-plasm diversity.The coefficient of variation of 12 characters was between 3.54％and 23.85％,and the genetic diversity index between 1.96 and 2.10.The results of correlation analysis showed that there was an extremely significant positive correlation between plant height and initial fruit branch height,initial fruit branch node po-sition and boll weight,extremely significant positive correlation between initial fruit branch height and initial fruit branch node position and boll weight,and extremely significant positive correlation between middle fruit branch length and middle fruit branch length.The length of the lower fruit branch and the angle between the lower fruit branch were significantly positively correlated,so it is necessary to consider each other and analyze comprehensively when cultivating cotton varieties picked by machine.By principal component analysis,the cu-mulative contribution rate of 12 agronomic characters divided into 6 principal components reached 78.59％,which were plant height factor,fruit branch factor,stem diameter factor,lint percentage factor,boll number fac-tor and boll weight factor.The germplasm resources of sea island cotton were divided into five groups by cluster analysis.The fifth group showed good mechanical picking characters,and the representative varieties were Xin-hai 43,Xinhai 55,Shihezi V7-4,K426,Xin78,16DJC01,Xinku K2442 and Xinku 198-1.[Conclusion]The 125 resources are rich in diversity,and the clustering analysis of the fifth group shoes that it has good ma-chine-harvestability,and 21 breeding materials with good machine-harvestability were obtained,which could be used as the basic machine-picked materials.
万方数据
维普
