Evaluation on Adaptation in New Sugarcane Lines by Multiple Statistics Analysis
Welcome to Chinese Journal of Tropical Crops,

Chinese Journal of Tropical Crops ›› 2023, Vol. 44 ›› Issue (4): 699-705.DOI: 10.3969/j.issn.1000-2561.2023.04.005

• Germplasm Resources, Genetics & Breeding • Previous Articles     Next Articles

Evaluation on Adaptation in New Sugarcane Lines by Multiple Statistics Analysis

GUO Qiang1,3, MO Jianwen2, JIANG Qingmei1, HE Hongliang1, MA Wenqing1,3, MO Yongwu2, TANG Liqiu1,3,*()   

  1. 1. Guangxi South Subtropical Agricultural Science Research Institute, Longzhou, Guangxi 532415, China
    2. Guangxi Fengtang Biochemical Co., Ltd., Liuzhou, Guangxi 545002, China
    3. Province and Ministry Co-sponsored Collaborative Innovation Center of Sugar Industry, Nanning, Guangxi 530004, China
  • Received:2022-06-07 Revised:2022-07-12 Online:2023-04-25 Published:2023-05-11
  • Contact: *TANG Liqiu, E-mail: 401754719@qq.com.

Abstract:

In this study, 29 new sugarcane lines were evaluated on adaptation by multiple statistics analysis to select new lines with excellent overall trait performance. The variation coefficients of 10 phenotypic traits ranged from 3.52% to 184.52%, the variation coefficients of smut rate was the highest. Correlation analysis showed that the cane yield was extremely significantly positively correlated with plant height and sugar yield, the smut rate was extremely negatively correlated with sucrose content and gravity purity. The results of principal compoment analysis showed that the cumulative contribution rate of 4 principal component factors was 85.019%, among which the first principal component was related to cane yield, quality and diseases, the second principal component was related to sugar yield and cane yield, the third principal component was related to quality and stalk diameter, the fourth principal component was related to fiber cane. Based on cluster analysis, the 31 new sugarcane lines were divided into 5 groups, among which groupⅠ, including 6 lines, had the highest sucrose content; groupⅡ, including 10 lines, had the lowest agronomic traits; groupⅢ, including 5 lines, had the lowest smut rate and the highest cane yield and sugar yield; groupⅣ, including 4 lines, had the highest smut rate and the lowest sucrose content; groupⅤ, including 6 lines, had the lowest cane yield and sugar yield. Stepwise discriminant analysis gave every group probability of 100%. GNZ151505, GT17-232, GT13-1154, GT17-929, GT16-151 in groupⅢ showed good comprehensive features. HT15-5, GT15-1074, GT15-1131, GT13-1004, GT12-284, GT17-910 in groupⅠhad the highest sucrose content and the lower smut rate, could be used as high sugar content parents and highly resistant smut parents.

Key words: sugarcane, new lines, principal compoment analysis, cluster analysis, adaptation

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