欢迎访问《农学学报》，
农学学报

农学学报 ›› 2025, Vol. 15 ›› Issue (6): 16-22.doi: 10.11923/j.issn.2095-4050.cjas2024-0055

• 植物保护 • 上一篇    下一篇

设施栽培青菜和小白菜根肿病空间分布及抽样技术研究

洪文英1(), 吴燕君1(), 朱徐燕2, 华永刚1, 汪群2, 何林海3, 粟贵俊3, 高凯4   

  1. 1 杭州市农业技术推广中心/杭州市植保植检中心，杭州 310016
    2 杭州市余杭区农业技术推广中心，杭州 311103
    3 杭州良渚麟海蔬果专业合作社，杭州 311113
    4 余杭区良渚街道办事处区域发展办公室，杭州 311113
  • 收稿日期:2024-03-28 修回日期:2025-04-18 出版日期:2025-06-20 发布日期:2025-06-18
  • 通讯作者:
    吴燕君，女，1984年出生，浙江嘉兴人，高级农艺师，从事植保与农业生态工作。E-mail：。
  • 作者简介:

    洪文英，女，1967年出生，浙江杭州人，推广研究员，从事植保与种子种苗工作。E-mail：。

  • 基金资助:
    2023年浙江省蔬菜产业技术项目“设施叶菜连作障碍生态防控技术示范”; 浙江省余杭蔬菜“浙农英才”工作站项目

Study on Spatial Distribution and Sampling Technique of Clubroot Disease in Brassica rapa var. chinensis and Brassica rapa var. glabra Under Greenhouse Cultivation

HONG Wenying1(), WU Yanjun1(), ZHU Xuyan2, HUA Yonggang1, WANG Qun2, HE Linhai3, SU Guijun3, GAO Kai4   

  1. 1 Hangzhou Centre for Agricultural Technology Extension/ Hangzhou Centre for Plant Protection and Quarantine, Hangzhou 310016
    2 Agricultural Technology Promotion Center of Yuhang District, Hangzhou 311103
    3 Hangzhou Liangzhu Linhai Vegetable and Fruit Specialized Cooperative, Hangzhou 311113
    4 Regional Development Office of Yuhang Liangzhu Sub-District Agency, Hangzhou 311113
  • Received:2024-03-28 Revised:2025-04-18 Online:2025-06-20 Published:2025-06-18

RichHTML

1

PDF (PC)

3

摘要：

为进一步提高根肿病的监测调查水平，以设施栽培青菜和小白菜为试验材料，运用聚集度指标法、m*-m回归分析、Taylor幂法则等方法，对根肿病的空间分布型和发病特征进行分析，并探究其抽样技术。结果表明，越接近大棚中央的样田发病越重，大棚边缘的样田发病相对较轻。聚集度指标法测定结果显示，在田间发病重的情况下，2种作物上根肿病病株的田间分布主要趋于均匀分布，但在轻发病田也会出现聚集分布。m*-m回归分析法及Taylor幂法则分析结果显示，病株分布的基本成分为个体群且个体间略有相互吸引，个体群在2种作物上呈均匀分布格局，该均匀分布趋势随病级值的提高而增强。在此基础上，提出2种作物上根肿病的最适理论抽样模型和序贯抽样模型。本研究结果有助于提高该病害田间取样调查的效率，为早期预警及防控决策的制定提供依据。

关键词: 设施栽培, 青菜, 小白菜, 根肿病, 空间分布型, 抽样技术, 聚集度指标法, 最适理论抽样模型

Abstract:

Brassica rapa var. chinensis and Brassica rapa var. glabra were employed as experimental materials, with the sampling methods such as aggregation index, m*-m regression analysis and Taylor’s power law, and the spatial distribution pattern and characteristic of clubroot disease under greenhouse cultivation were analyzed, and the sampling techniques were studied to further improve the investigation and prediction ability of the disease. The result showed that the disease developed severe when the test area was closer to the center of the greenhouse, and relatively light when it was near the edge in the two crops. Test of aggregation index showed that the main trends of clubroot disease were fitted to uniform distribution under the condition of heavy occurrence, but aggregation distribution would also occur in the lower occurrence area. Regression analysis of m*-m and Taylor’s power law indicated that the individual colony was the basal component of the spatial distribution of clubroot disease and they attracted each other slightly. The distribution pattern of individual colony tended to be uniform distribution, and this trend was increased with the increasing disease grade of individual plant in the two crops. On the basis of the above analysis, the optimal theoretical sampling model and sequential sampling model of clubroot disease in the two crops were presented. This study results were helpful to improve efficiency in the investigation and sampling of clubroot disease, and it provided evidence for early-forecast and prevention decision.

Key words: greenhouse cultivation, Brassica rapa var. chinensis, Brassica rapa var. glabra, clubroot disease, spatial distribution pattern, sampling technique, aggregation index methods, optimal theoretical sampling model