Annual Report of The Kansai Plant Protection Society
Online ISSN : 1883-6291
Print ISSN : 0387-1002
ISSN-L : 0387-1002
Original Articles
Estimation of optimal timing to control Planococcus kraunhiae and Comstockaspis perniciosa using the Agro-Meteorological Grid Square Data System
Kenta TsunekawaMichinari MatsushitaKohei Takenaka TakanoRena YoshitoshiYuki AkamatsuKaneyuki Sugiura
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JOURNAL FREE ACCESS

2020 Volume 62 Pages 71-77

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Abstract

The optimal timing for applying insecticides against Coccoidea species has been estimated using data from the nearest weather station in Aichi prefecture. However, such estimations were less accurate in areas far from weather stations. We developed models to estimate the optimal timing for applying insecticides against two Coccoidea species: Planococcus kraunhiae (Kuwana, 1902) Fernald, 1903 (Hemiptera: Pseudococcidae) and Comstockaspis perniciosa (Comstock, 1881) MacGillivray, 1921 (Hemiptera: Diaspididae), using the Agro-Meteorological Grid Square Data System. The models were verified by the occurrence of the two species in agricultural fields in 2018 and 2019. The “Triangle Method” was used on mesh agricultural weather data to calculate the total effective temperature, and hourly data were used for weather station data. The Meteorological Grid Square Data System showed high predictability for estimating appropriate control periods for both species. Implementing this method with a Python program provides appropriate control periods for a wide area, such as prefectures, and contributes to efficient pest management.

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© 2020 The Kansai Plant Protection Society
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