中国稻米 ›› 2025, Vol. 31 ›› Issue (1): 89-93.DOI: 10.3969/j.issn.1006-8082.2025.01.013

• 品种与技术 • 上一篇    下一篇

水稻二化螟性诱智能监测效果研究

谌江华1(), 肖山1, 郑炜2, 柴伟纲1, 姚红燕1,*()   

  1. 1宁波市农业科学研究院/宁波市特色农产品质量安全检测与控制重点实验室,浙江 宁波 315040
    2宁波海关技术中心,浙江 宁波 315800
  • 收稿日期:2024-01-11 出版日期:2025-01-20 发布日期:2025-01-13
  • 通讯作者: *yaohongyan2000@163.com
  • 作者简介:

    第一作者:jhchen20@163.com

  • 基金资助:
    宁波市“科技创新2025”重大专项(2021Z107);宁波市“科技创新2025”重大专项(2019B10003)

Study on the Effect of Sex-pheromone-trap Intelligent Monitoring of Chilo suppressalis

SHEN Jianghua1(), XIAO Shan1, ZHENG Wei2, CHAI Weigang1, YAO Hongyan1,*()   

  1. 1Ningbo Academy of Agricultural Sciences/Ningbo Key Laboratory of Testing and Control for Characteristic Agro-Product Quality and Safety, Ningbo, Zhejiang 315040, China
    2Ningbo Customs District Technology Center, Ningbo, Zhejiang 315800, China
  • Received:2024-01-11 Published:2025-01-20 Online:2025-01-13
  • About author:

    1st author: jhchen20@163.com

摘要:

为验证性诱智能监测系统对水稻二化螟田间监测的准确性和可行性,笔者于2022年在宁波奉化、鄞州、镇海三地开展了水稻二化螟的性诱智能监测效果试验。结果显示,供试的性诱智能监测系统对二化螟的识别准确性高,三地识别准确率平均为97.2%,且智能识别和人工识别的相关系数(R2值)均在0.9800以上。性诱智能监测与灯诱虫情监测获得的二化螟成虫发生动态对比结果总体表现一致,能够较准确反映二化螟田间发生动态,可用于二化螟的种群发生监测和预警测报工作。

关键词: 水稻, 二化螟, 性诱智能监测, 识别, 发生动态

Abstract:

In order to verify the field monitoring accuracy and feasibility of the sex-pheromone-trap intelligent monitoring system for Chilo suppressalis, the author carried out the sex-pheromone-trap intelligent monitoring effect test for Chilo suppressalis in Fenghua District, Yinzhou District and Zhenhai District of Ningbo City in 2022. The results showed that the tested monitoring system had a high recognition accuracy for Chilo suppressalis. The average recognition accuracy rate of the three places was 97.2%, and the correlation coefficient (R2 value) of intelligent recognition and manual recognition was above 0.9800. The dynamic comparison results of the occurrence of Chilo suppressalis adults obtained from the the sex-pheromone-trap intelligent monitoring and the light attraction monitoring were consistent, which can accurately reflect the occurrence dynamics of Chilo suppressalis in the field, and can be used for the population occurrence monitoring and early warning of Chilo suppressalis.

Key words: rice, Chilo suppressalis, sex-pheromone-trap intelligent monitoring, recognition, occurrence dynamics

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