中国农业气象 ›› 2025, Vol. 46 ›› Issue (12): 1826-1835.doi: 10.3969/j.issn.1000-6362.2025.12.013

• 农业生态数据栏目 • 上一篇    下一篇

中国主要粮棉油作物害虫名录数据集

张全军,孔祥胜,吴泽新,吴东丽   

  1. 1.中国气象局气象探测中心,北京 100081;2.临近空间环境特性及效应全国重点实验室,北京 100081;3.中国气象局气象探测工程技术研究中心,北京 100081;4.九江市气象局,九江 332000;5.德州市气象局,德州 253078
  • 收稿日期:2025-01-16 出版日期:2025-12-20 发布日期:2025-12-16
  • 作者简介:张全军,E-mail: zhangqj@cma.gov.cn
  • 基金资助:
    国家重点研发计划项目(2024YFD2301301);中国气象局创新发展专项项目(CXFZ2023J069);中国气象局气象探测中心生态与农业观测技术创新团队项目

A Dataset of Pest Lists for Major Grain, Cotton and Oil Crops in China

ZHANG Quan-jun, KONG Xiang-sheng, WU Ze-xin, WU Dong-li   

  1. 1. Meteorological Observation Centre of China Meteorological Administration, Beijing 100081, China; 2. State Key Laboratory of Environment Characteristics and Effects for Near-space, Beijing 100081; 3. Engineering Technology Research Center for Meteorological Observation of CMA, Beijing 100081; 4. Jiujiang Meteorological Bureau, Jiujiang 332000; 5. Dezhou Meteorological Bureau, Dezhou 253078
  • Received:2025-01-16 Online:2025-12-20 Published:2025-12-16

摘要: 虫害是威胁全球粮食安全与农业可持续发展的重大生物灾害。中国主要粮棉油作物(水稻、小麦、玉米、棉花、油菜和大豆)的虫害种类繁多、分布广泛、危害严重且防控复杂。然而,现有研究多集中于单一作物或特定区域的监测,尚未形成全国范围系统性作物虫害相关的电子数据资源。为明确全国粮棉油作物害虫的现状,本研究利用文献调研法,收集了1979-2024年全国植物保护相关的文献与权威著作,整合形成了中国主要粮棉油作物害虫名录数据集。通过多源数据的筛选、数据标准化及质量控制等处理,形成了涵盖水稻害虫196种、小麦害虫51种、玉米害虫54种、棉花害虫103种、油菜害虫39种以及大豆害虫69种,共512种害虫的数据集,包含各害虫的中文名、拉丁学名、分布地、危害作物、危害症状以及防治方法等16项内容,涉及粮棉油作物害虫的物种多样性、地理分布与防控措施等信息。数据集以Excel格式保存,方便查询及使用,文件大小316KB。该电子数据资源可为作物害虫监测、预警预报提供基础数据,用于粮棉油作物害虫分布规律及抗性管理分析、害虫图像识别模型训练、综合防控策略优化以及农业可持续发展政策制定等方面,支持农业科学研究与田间防控实践。实体数据集可获取网址为https://doi.org/10.57760/sciencedb.20018。

关键词: 水稻, 小麦, 玉米, 棉花, 油菜, 大豆, 害虫数据集, 危害, 地理分布

Abstract:

Crop insect pests pose a major biological threat to global food security and agricultural sustainability. In China, insect pests affecting key grain, cotton and oil crops (including rice, wheat, maize, cotton, rapeseed and soybean) were characterized by their high species diversity, wide geographical distribution, severe damage potential and complex control requirements. However, existing research had predominantly focused on single crops or localized monitoring and there was a lack of systematic electronic data resources on crop pests on a national scale. To clarify the current status of pests in China's major grain, cotton and oil crops, this study employed a literature review approach, compiling and integrating pest records from plant protection publications and authoritative works spanning 1979 to 2024. A comprehensive data set of crop pests was created through multiple source data screening, standardization and quality control, encompassing 512 pest species: 196 on rice, 51 on wheat, 54 on maize, 103 on cotton, 39 on canola and 69 on soybeans. The dataset included 16 attributes for each pest species, such as Chinese/common name, Latin scientific name, geographic distribution, host crops, damage symptoms, and control methods, reflecting species diversity, spatial patterns and management strategies. The dataset was stored in excel format (file size: 316 KB) for accessibility and practical use. This electronic resource provided fundamental data for pest monitoring, early warning systems and resistance management analysis. It also supported training of pest image recognition models, optimization of integrated pest management strategies, and policy-making for agricultural sustainability, thereby bridging scientific research and field-level pest control practices. The URL for obtaining the entity dataset was https://doi.org/10.57760/sciencedb.20018.

Key words: Rice, Wheat, Maize, Cotton, Rapeseed, Soybean, Pest dataset, Damage, Geographical distribution