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The Weather Research and Forecasting (WRF) model: Application in prediction of TSWV-vectors populations

Olatinwo, RO and Prabha, T and Paz, JO and Riley, DG and Hoogenboom, G (2011) The Weather Research and Forecasting (WRF) model: Application in prediction of TSWV-vectors populations. Journal of Applied Entomology, 135 (1-2). pp. 81-90.

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Abstract

In the southeastern United States, millions of dollars worth of crop damage associated with tobacco thrips (Frankliniella fusca Hinds) and western flower thrips (Frankliniella occidentalis Pergande) are reported annually for economically important crops such as cotton (Gossypium hirsutum L.) and peanut (Arachis hypogaea L.). Tobacco thrips and western flower thrips are also important vectors of Tomato spotted wilt virus (TSWV). The populations and spread of both thrips species relies on favourable weather conditions, especially prolonged temperatures above a minimum developmental threshold. Accurate local weather information is, therefore, crucial for early prediction of thrips' population dynamics during the spring when thrips' population information could assist farmers in mitigating damage to crops. The objective of this study was to demonstrate the application of the Weather Research and Forecasting (WRF) model predictions for developing high resolution spatial and temporal forecast maps of favourable conditions for thrips' development even for locations where weather stations are not available. Tobacco thrips and western flower thrips were evaluated based on degree-day models. The results showed that southwestern Georgia is more favourable for thrips development during the early part of the growing season, although the rate of development varied according to the thrips species. The maps that were produced using WRF output provided high-resolution forecasts for favourable conditions and scouting guidance in places where weather information was limited. An accurate prediction of pest development based on forecasts of favourable conditions may assist growers in pest management decisions and in timely application of insecticides.

Item Type: Article
Additional Information: Copyright of this article belongs to Wiley
Uncontrolled Keywords: accuracy assessment; cotton; crop damage; disease vector; economic analysis; fruit; growing season; insecticide; legume; numerical model; pest control; population distribution; population dynamics; population structure; research work; resolution; spatiotemporal analysis; species diversity; temperature gradient; threshold; thrips; viral disease; weather forecasting; weather station, Georgia; United States, Arachis hypogaea; Frankliniella fusca; Frankliniella occidentalis; Gossypium hirsutum; Nicotiana tabacum; Tomato spotted wilt virus; Tospovirus
Subjects: Meteorology and Climatology
Depositing User: IITM Library
Date Deposited: 12 Aug 2014 05:22
Last Modified: 12 Aug 2014 05:22
URI: http://moeseprints.incois.gov.in/id/eprint/675

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