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目的综合评价不同产地川产半夏资源的产量和品质,为川产半夏育种和高产栽培提供理论依据和参考。方法对22份来源于不同产地的川产半夏资源14个主要农艺性状及3个品质性状进行主成分分析,并进一步进行综合评价及聚类分析。结果供试川产半夏样品的增产率、单株叶质量和增殖率的变异系数较大,尿苷量、鸟苷量、尿苷及鸟苷总量的变异系数相对较小。主成分分析表明,17个主要性状可用6个主成分来表述,其累计贡献率达89.829%,分别归纳为块茎形态因子、株型品质因子、增殖率因子、大粒率因子、增产低殖因子及增产率因子。样品6的综合得分最高,为高产劣质型材料;样品13的综合得分最低,为低产优质型材料。聚类分析可将供试样品分为4类。结论通过主成分及聚类分析对川产半夏进行综合评价的方法可靠;四川盆地半夏野生资源丰富,可从中选择优质资源,为川产半夏新品种选育提供基础。
Objective To comprehensively evaluate the yield and quality of the resources of Pinellia ternata in different producing areas, provide the theoretical basis and references for the breeding and productive cultivation of Pinellia ternata in Sichuan. Methods The main components of 14 main agronomic traits and 3 quality traits of 22 provenances of Pinellia ternate from different habitats were analyzed by principal component analysis and further evaluated and clustered. Results The yield coefficient of Pinellia ternata samples was higher, the coefficient of variation of leaf quality and reproductive rate per plant was larger, and the coefficient of variation of uridine amount, guanosine amount, uridine and guanosine were relatively small. The principal component analysis showed that the 17 main characters could be expressed by 6 principal components and the cumulative contribution rate was 89.829%, which were respectively summarized as tuber morphology, plant type quality factor, growth rate factor, large grain rate factor, increased yield low factor and Yield factor. Sample 6 has the highest combined score, which is a high-yield inferior material. Sample 13 has the lowest comprehensive score, which is a low-yield and high-quality material. Cluster analysis can be divided into four test samples. Conclusion The method of comprehensive evaluation of Chuanxiao Pinellia by principal component analysis and cluster analysis is reliable. The abundant resources of Pinellia ternata in Sichuan Basin can be selected from high-quality resources, which provides the basis for the breeding of new Chuanxiali varieties.