Identification and Comprehensive Evaluation on Main Agronomic Characters of Phaseolus vulgaris Germplasm Resources in Northwest of He'nan Province
The accurate identification of local varieties is the prerequisite for their efficient utilization.In this study,statistical analysis,correlation analysis,principal component analysis and cluster analysis were used to accurately identify the characteristic Phaseolus vulgaris germplasm resources in northwest He'nan,and the germplasms that could be used to evaluate the agronomic traits and comprehensive performance of Phaseolus vulgaris germplasm resources were selected.The results showed that there were great differences in agro-nomic traits among different germplasm resources,the genetic differences of yield related traits were the largest,followed by tender pod and seed,and the genetic differences of leaves were the least.Four principal components were extracted by principal component analysis,and the cumulative contribution rate was 83.704％.Principal component 1 could be used for breeding long pod or tender pod Phaseolus vulgaris,prin-cipal component 2 could be used for breeding wide pod or seed Phaseolus vulgaris,principal component 3 could be used for breeding long leaf Phaseolus vulgaris,and principal component 4 could be used for breeding multi-pod Phaseolus vulgaris.The top 7 overall scores were Donghe76,Houling83,Ximen6,Dadian90,Zhanghe77,Weihe97 and Sanjiao82;After cluster analysis,group Ⅰ overlapped with the top 7 varieties in the overall ranking,which had high pod number per plant,strong bearing strength,long tender pod and thick meat,high yield and large kernel.In addition,the proportion of traits among groups was consistent with the variation coefficient among traits of various quality resources,indicating that the variation coefficient was not only an important index reflecting biodiversity,but also an important basis for resource classification.
Phaseolus vulgarisstatistical analysisprincipal component analysiscluster analysisidentification and evaluation
万方数据
维普
