文章摘要
Diversity and Correlation Analysis of Traits based on Yunnan Maize Hybrids Testing
  
DOI:10.16768/j.issn.1004-874X.2023.05.004
Author NameAffiliation
YAO Zongze1, YANG Yan2, WANG Shimin2, LIU Yanfang1 1. 云南省农业科学院质量标准与检测技术研究所云南 昆明 6502052. 昭通学院农学与生命科学学院云南 昭通 657000 
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Abstract:
      【Objective】To evaluate the application of distinctness, uniformity, and stability (DUS) testing traits in maize hybrids.【Method】89 hybrid maize varieties in Yunnan Province for DUS testing in 2020-2021 were used as materials, based on the tested data, diversity and correlation analysis were conducted for 38 testing traits, and cluster analysis was conducted for 89 hybrids.【Result】A total of 191 expression states were detected for 38 traits in 89 maize hybrids, with an average of 5.0263 detected for each trait, with a range of 2~8. The average effective expression state was 2.8217, with a range of 1.0227~6.0697. The average Shannon-Weaver diversity index for 38 traits was 1.0669, with a range of 0.0616~1. 9069. The diversity performance of different traits is varies greatly, with some traits showing only 2 expression states in 89 maize varieties, and the number of effective expression states and Shannon-Weaver diversity index are relatively low. There are 8 expression states for some traits in 89 maize varieties, and the number of effective expression states and Shannon-Weaver diversity index are relatively high. Among the 38 testing traits, 12 pairs of traits had a highly significant positive correlation. The correlation coefficients between pollination stage and heading stage, and between plant spike height and plant spike height/plant height ratio were higher, 0.94 and 0.90, respectively. The above results indicate that the diversity of the tested traits in the current maize DUS testing guidelines in hybrids is good, and the variety differentiation is strong. It is also suggested that there are traits with significant correlations among traits, and special considerations should be taken in the determination of specificity and substantial derived varieties, different weights can be given based on their importance to calibrate the judgment results. Cluster analysis showed that the similarity coefficient of 89 hybrids ranged from 0.24 to 0.53, which could be clustered into five major groups. Group IV included 81 varieties, accounting for 91.0%, the similarity coefficient of the closest variety in this group was 0.53, indicating that Yunnan maize hybrids had good diversity and significant differences among varieties.【Conclusion】The current maize DUS testing traits still maintain high discrimination in maize hybrid varieties testing, with rich diversity of testing traits and a highly significant positive correlation between 12 pairs of testing traits.
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