中国稻米

中国稻米 ›› 2025, Vol. 31 ›› Issue (1): 79-83.DOI: 10.3969/j.issn.1006-8082.2025.01.011

• 品种与技术 • 上一篇    下一篇

新疆粳稻耐盐相关性状的主成分分析及综合评价

康民泰1, 杜孝敬2, 张燕红3, 文孝荣1, 唐福森1, 赵志强3, 袁杰3, 王奉斌1,2,*()   

  1. 1新疆农业科学院 温宿水稻试验站/国家耐盐碱水稻技术创新中心 西北中心，新疆 温宿 843100
    2新疆农业科学院 粮食作物研究所，乌鲁木齐 830091
    3新疆农业科学院 核技术生物技术研究所/新疆农作物生物技术重点实验室，乌鲁木齐 830091
  • 收稿日期:2024-02-26 出版日期:2025-01-20 发布日期:2025-01-13
  • 通讯作者: *xjnkywfb@163.com
  • 基金资助:
    水稻优异资源鉴定评价与优质高产水稻品种选育创新团队(2023D14017)

Principal Component Analysis and Comprehensive Evaluation of Salt Tolerance Related Traits in Japonica Rice in Xinjiang

KANG Mintai1, DU Xiaojing2, ZHANG Yanhong3, WEN Xiaorong1, TANG Fusen1, ZHAO Zhiqiang3, YUAN Jie3, WANG Fengbin1,2,*()   

  1. 1Wensu Rice Experimental Station, Xinjiang Academy of Agricultural Sciences/Northwest Center of National Salinity Tolerant Rice Technology Innovation Center, Wensu, Xinjiang 843100, China
    2Research Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
    3Institute of Nuclear Technology and Biotechnology, Xinjiang Academy of Agricultural Sciences/Xinjiang Key Laboratory of Crop Biotechnology, Urumqi 830091, China
  • Received:2024-02-26 Published:2025-01-20 Online:2025-01-13

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摘要： 为构建一套针对西北粳稻的耐盐综合评价指标体系，并筛选适合新疆盐渍区种植的水稻品种，本研究采用0.5%盐胁迫处理，对18份来自新疆的粳稻材料进行了10项表型指标的测定。在评价过程中，我们采用各单项指标的耐盐系数作为主要评价依据，并综合运用了相关分析、主成分分析及聚类分析等多种统计方法，以全面评估这些材料的耐盐性。结果表明，在盐胁迫环境下，参试材料的单穗质量、叶面积、每穗实粒数和每穗总粒数之间表现出显著的相关性；通过主成分分析，我们成功地将盐胁迫下的10项指标简化为4个相互独立且信息量丰富的主成分，这4个主成分的累计贡献率达76.19%；依据参试材料的综合评价值D进行聚类分析，最终将18份参试材料划分为三类：不耐盐材料，占比11.11%；中等耐盐材料，占比61.11%；耐盐材料，占比27.78%，具体包括SD-12、SD-17、SD-16、SD-13、SD-15。

关键词: 粳稻, 耐盐性, 主成分分析, 聚类分析, 综合评价

Abstract:

To establish a comprehensive evaluation index system for salt tolerance of japonica rice in northwest China and screen salt tolerant rice varieties suitable for planting in the saline-alkali areas of Xinjiang, 10 phenotypic indicators of 18 japonica rice materials in Xinjiang were determined using 0.5% salt stress treatment. In the evaluation process, we used the salt tolerance coefficient of each individual indicator as the main evaluation index, and comprehensively applied various statistical methods such as correlation analysis, principal component analysis, and cluster analysis to fully assess the salt tolerance of these materials. The results showed that under the salt stress conditions, there was a significant correlation among the weight per panicle, leaf area, the number of full grains and the number of total grains. The 10 indexes under salt stress were transformed into 4 independent principal components by principal component analysis, and the cumulative contribution of 4 principal components reached 76.19%. According to the comprehensive evaluation value D of the tested materials, the 18 materials were classified into three types: non salt resistant materials, accounting for 11.11%; medium salt resistant materials, accounting for 61.11%; salt resistant materials, accounting for 27.78%, including SD-12, SD-17, SD-16, SD-13 and SD-15.

Key words: japonica rice, salt tolerance, principal component analysis, cluster analysis, comprehensive evaluation

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