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基于主成分和聚类分析的复垦稻区水稻生产适应性筛选与评价

Screening and Evaluation of Rice Production Adaptability in Reclaimed Rice Areas Based on Principal Component and Cluster Analysis

  • 摘要: 以17份水稻品种为试验对象,通过相关性分析、隶属函数分析、聚类分析和主成分分析,综合评价不同水稻品种在产量及其构成因子、稻米品质和光合特征等指标上的相关性与差异,进而筛选出适宜宁波市复垦稻区种植的稳产、优质水稻品种。结果表明:产量、长宽比、垩白度、气孔导度和蒸腾速率的变异系数较大,是限制不同水稻综合生产性能的主要因素;相关性分析表明,光合特征与产量、稻米品质之间存在显著相关性,提高光合特征的相关指标能够提升产量、碾米品质和蒸煮品质;聚类分析将17个品种划分为4类,其中第Ⅰ类包含甬优1540、春诚优887、华中优9326、浙优810、嘉优9号、华中优9363、申优28等7个品种,其综合表现较优,具有产量高、碾米品质和蒸煮品质好、光合作用较强的特点;通过主成分分析提取出了4个主成分,主成分综合得分前5名依次为华中优9326、浙优810、春诚优887、中禾优6号、甬优1540。

     

    Abstract: To screen out stable and high-quality rice varieties suitable for planting in reclaimed rice areas in Ningbo City. Using 17 rice varieties as experimental subjects, a comprehensive evaluation was conducted through correlation analysis, membership function analysis, cluster analysis, and principal component analysis to assess the correlation and differences in yield and its constituent factors, rice quality, and photosynthetic characteristics among different rice varieties. The results showed that the coefficients of variation of yield, length-width ratio, chalkiness, stomatal conductance, and transpiration rate were relatively large, which were the main factors limiting the comprehensive production performance of different rice varieties. Through correlation analysis of various traits in rice, it was found that photosynthetic characteristics are significantly correlated with yield and rice quality. Improving photosynthetic characteristic related indicators can improve yield, milling quality and cooking quality. Using cluster analysis, 17 varieties were divided into 4 categories. The first category includes 7 varieties (Yongyou 1540, Chunchengyou 887, Huazhongyou 9326, Zheyou 810, Jiayou 9, Huazhongyou 9363, and Shenyou 28), which have the best comprehensive performance, high yield, good rice milling, cooking quality strong photosynthesis. Through principal component analysis, four principal components were extracted. According to the comprehensive evaluation score, the top five were Huazhong You 9326, Zheyou 810, Chunchengyou 887, Zhongheyou 6 and Yongyou 1540.