Annual Report of the Kanto-Tosan Plant Protection Society
Online ISSN : 1884-2879
Print ISSN : 1347-1899
ISSN-L : 1347-1899
(Rice and Wheat Pests)
Prediction of the Emergence Date of Small Brown Plant Hopper (Laodelphax striatellus) by the Effective Cumulative Temperature Method and the Agro-meteorological Grid Square Data System
Mitsuru OKUDA Masahiro HIRAETakuya SHIBANobuko SUWAMai SHIMIZU
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2019 Volume 2019 Issue 66 Pages 52-55

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Abstract

Rice stripe virus (RSV), which causes chlorotic stripes, mottling, and necrotic streaks on rice (Oryza sativa L.), is one of the major causes for yield losses at some places in Kanto area, Japan. Controlling small brown plant hopper (SBPH, Laodelphax striatellus), a vector of RSV, using chemical insecticides is crucial to decrease RSV infection in such regions. To optimize the timing of spraying the insecticides in paddy fields for distinct regions, the emergence date was predicted by the effective cumulative temperature method using temperature data obtained from the Agro-meteorological Grid Square Data System. The predicted dates of the second instar nymph of SBPH in five distinct locations (one each in Mito and Tsukuba, and three in Chikusei) in Ibaraki Prefecture were June 8, May 31, June 5, June 10 and June 1, which were less than 2 days apart from the emergence date determined by surveys in the actual fields. Therefore, this prediction would be effective to reduce the damage caused by RSV.

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© 2019 The Kanto-Tosan Plant Protection Society
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