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Chinese Agricultural Science Bulletin ›› 2019, Vol. 35 ›› Issue (29): 8-13.doi: 10.11924/j.issn.1000-6850.casb18050078

Special Issue: 小麦

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Correlation and Cluster Analysis of Agronomic Characters of 35 Wheat Varieties

  

  • Received:2018-05-14 Revised:2018-09-21 Accepted:2018-09-25 Online:2019-10-14 Published:2019-10-14

Abstract: The aim is to provide a basis for genetic improvement of wheat. 35 wheat varieties were used as materials. 7 agronomic characters, such as yield, stem length, grain number per spike and so on were investigated with correlation analysis, multiple comparison analysis and cluster analysis. The influence factors of yield were discussed. Correlation analysis showed that the correlation coefficient between yield and effective panicles per unit area and grain number per spike was 0.685 and 0.439, respectively, reaching a very significant level. The correlation coefficient of yield and the basic seedlings per unit area was 0.368, which also reached a very significant level. Multiple comparison analysis results showed that the correlation coefficient of yield and basic seedlings per unit area, the highest stem tillers, effective spikes per unit area, stem length, grain number per spike and 1000-grain weight was 435.2742857, 358.8485714, 413.7485714, 371.8142857, 419.8914286, 406.7571429, respectively, and they all reached a significant level. The results of cluster analysis showed that the 35 wheat varieties were divided into 7 groups. The basic seedlings per unit area, stem length and grain numbers per spike are the most important factors that restricting the yield, and the study provides a theoretical basis for breeding, hybridization and tissue culture selection of high-yield wheat.