湖北农业科学 ›› 2025, Vol. 64 ›› Issue (4): 35-41.doi: 10.14088/j.cnki.issn0439-8114.2025.04.007

• 药用植物 • 上一篇    下一篇

息半夏不同种质资源的表型鉴定与评价

杨振1, 腊贵晓2, 史贵霞2, 葛晓瑾3, 源春彦1, 王柏1, 余秀月1, 计新园1, 王文玉1, 陈道玉1   

  1. 1.息县农业科学研究所,河南 信阳 464300;
    2.河南省农业科学院中药材研究所,郑州 450002;
    3.广州中医药大学中药学院,广州 510006
  • 收稿日期:2024-09-11 出版日期:2025-04-25 发布日期:2025-05-12
  • 作者简介:杨振(1995-),男,河南长垣人,助理研究员,硕士,主要从事半夏种质资源研究,(电子信箱)yangzhenkevin@163.com。
  • 基金资助:
    国家现代农业产业技术体系资助项目(CARS-21)

Phenotypic identification and evaluation of different germplasm resources of Xi Pinellia ternata

YANG Zhen1, LA Gui-xiao2, SHI Gui-xia2, GE Xiao-jin3, YUAN Chun-yan1, WANG Bai1, YU Xiu-yue1, JI Xin-yuan1, WANG Wen-yu1, CHEN Dao-yu1   

  1. 1. Xixian Agricultural Science Research Institute, Xinyang 464300,Henan,China;
    2. Institute of Chinese Medicinal Materials, Henan Academy of Agricultural Sciences, Zhengzhou 450002,China;
    3. School of Chinese Materia Medica,Guangzhou University of Chinese Medicine, Guangzhou 510006, China
  • Received:2024-09-11 Published:2025-04-25 Online:2025-05-12

摘要: 收集息县、淮滨县、浉河区14个区域的17份息半夏[Pinellia ternata (Thunb.) Breit.]资源材料开展表型鉴定和评价。结果表明,息半夏资源形态特征有8种类型。12个数量表型性状分析表明,结实数变异指数最大,为44.328%,生育期变异指数最小,为6.040%。相关性分析表明,6对性状间呈显著正相关,5对性状间呈极显著正相关。主成分分析将所有表型性状简化为4个主成分,其累计贡献率为74.32%。聚类分析可划分为3个类群,第Ⅰ类群适合筛选高产类息半夏;第Ⅱ类群适宜筛选以种子繁育为目的的息半夏;第Ⅲ类群适宜选育以珠芽繁育为目的的息半夏。通过综合评价,XXBX1可作为高产息半夏品种选育;XXBX6可作为以种子繁育为目的的息半夏品种选育;HBBX16可作为以珠芽繁育为目的的息半夏品种选育。

关键词: 息半夏[Pinellia ternata (Thunb.) Breit.], 种质资源, 表型性状, 聚类分析, 综合评价, 鉴定

Abstract: 17 Xi Pinellia ternata resource materials from 14 regions in Xi County, Huaibin County and Shihe District were collected to identify and evaluate their phenotypes. The results showed that there were 8 types of morphological characteristics among the Xi Pinellia ternata resources. Analysis of 12 quantitative phenotypic traits showed that the variation index of fruit number was the largest, at 44.328%, and the variation index of the growth period was the smallest, at 6.040%. Correlation analysis showed that there was a significant positive correlation among 6 pairs of traits, and there was an extremely significant positive correlation among 5 pairs of traits. Principal component analysis simplified all phenotypic traits into four principal components, and the cumulative contribution rate was 74.32%. The cluster analysis could be divided into three groups: Group I was suitable for screening the high-yielding Pinellia ternata; Group II was suitable for screening Xi Pinellia ternata for seed breeding; Group III was suitable for selecting Xi Pinellia ternata for bulbil breeding. Through comprehensive evaluation, XXBX1 could be used for high-yield Xi Pinellia ternata variety breeding; XXBX6 could be used for seed breeding; HBBX16 could be used for bulbil breeding.

Key words: Xi Pinellia ternata (Thunb.) Breit., germplasm resources, phenotypic traits, cluster analysis, comprehensive evaluation, identification

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