浙江农业科学 ›› 2024, Vol. 65 ›› Issue (8): 1791-1801.DOI: 10.16178/j.issn.0528-9017.20240375

• 果树与蔬菜 • 上一篇    下一篇

南瓜种质资源鉴定与评价

雷娟利1(), 岳智臣1, 陈小央2, 李燕2, 陶鹏1, 赵彦婷1, 胡齐赞1, 李必元1,*()   

  1. 1.浙江省农业科学院 蔬菜研究所,浙江 杭州 310021
    2.浙江省种子管理总站,浙江 杭州 310020
  • 收稿日期:2024-05-10 出版日期:2024-08-11 发布日期:2024-08-21
  • 通讯作者: 李必元(1976-),男,湖北仙桃人,副研究员,从事蔬菜育种研究工作,E-mail: 16061944@qq.com
  • 作者简介:雷娟利(1971-),女,陕西西安人,副研究员,博士,研究方向为蔬菜抗病育种,E-mail:juanlil@126.com
  • 基金资助:
    浙江省农作物种质资源精准鉴定评价任务(南瓜)(2022R23T60D01)

Identification and evaluation of Cucurbita moschata germplasm resources

LEI Juanli1(), YUE Zhichen1, CHEN Xiaoyang2, LI Yan2, TAO Peng1, ZHAO Yanting1, HU Qizan1, LI Biyuan1,*()   

  1. 1. Institute of Vegetables,Zhejiang Academy of Agricultural Sciences, Hangzhou 310021,Zhejiang
    2. Zhejiang Provincial Seed Management Station, Hangzhou 310020,Zhejiang
  • Received:2024-05-10 Online:2024-08-11 Published:2024-08-21

摘要:

为了更好地开发和利用南瓜种质资源,文章以“第三次全国农作物种质资源普查与收集行动”浙江项目组新收集到的南瓜地方种质资源117份,和自主引进的南瓜种质资源共248份材料,开展了2 a的田间种植鉴定,对农艺性状、品质性状及抗病性状进行了调查、分析及评价。结果表明,所研究的南瓜种植资源具有丰富的多样性,13个农艺性状变异系数的变化范围为12.30%~66.45%,其中,叶片宽和叶片长的变异系数最低,分别为12.30%和13.22%,商品瓜纵径和老瓜单瓜重的变异系数最高,分别为66.45%和53.70%。7个品质性状变异系数的变化范围为3.62%~81.82%,其中含水量的变异系数最小为3.62%,淀粉含量的变异系数最大为81.82%。白粉病病情指数和病毒病病情指数的变异系数分别为27.79%和28.03%。相关性分析发现,老瓜单瓜重与叶片宽、首雌花节位、主蔓粗、商品瓜肉厚、商品瓜横径及含水量等有不同程度的相关性。含水量与可溶性固形物含量显著负相关,相关系数为-0.919。果胶含量与可溶性糖含量显著相关,相关系数为0.801。主成分分析将22个性状归为7个主成分,累积贡献率为63.997%。研究结果为更好地开发和利用南瓜种质资源提供了理论依据。

关键词: 南瓜, 种质资源, 生物学性状, 鉴定, 评价

Abstract:

In order to better develop and utilize Cucurbita moschata germplasm resources, a two-year field planting identification on 248 Cucurbita moschata germplasm resources including 117 newly collected Cucurbita moschata local germplasm resources from the Zhejiang Project Group of the “Third National Census and Collection of Crop Germplasm Resources” was carried out. The agronomic traits, quality traits and disease resistance traits were investigated, analyzed and evaluated. The results showed that the Cucurbita moschata planting resources studied had rich diversity. The variation range of 13 agronomic traits was 12.30%-66.45%, among which the leaf width and leaf length had the lowest variation coefficients, which were 12.30% and 13.22%, respectively. The longitudinal diameter of commercial melon and the single weight of old melon had the highest variation coefficients, which were 66.45% and 53.70%, respectively. The variation range of 7 quality traits was 3.62%-81.82%, among which the minimum variation coefficient of water content was 3.62%, and the maximum variation coefficient of starch content was 81.82%. The powdery mildew index and virus disease index had the variation coefficients of 27.79% and 28.03%, respectively. Correlation analysis showed that the single weight of old melon was correlated with leaf width, first female flower node, main stem diameter, commercial melon thickness, commercial melon transverse diameter and water content to varying degrees. The water content was negatively correlated with soluble solids content, and the correlation coefficient was -0.919. The pectin content was significantly correlated with soluble sugar content, and the correlation coefficient was 0.801. Principal component analysis classified 22 traits into 7 principal components, with a cumulative contribution rate of 63.997%. The results of this study provide a theoretical basis for better development and utilization of Cucurbita moschata germplasm resources.

Key words: Cucurbita moschata, germplasm resources, biological traits, identification, evaluation

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