2020 journal article

Cotton thrips infestation predictor: a practical tool for predicting tobacco thrips (Frankliniella fusca) infestation of cotton seedlings in the south-easternUnited States

PEST MANAGEMENT SCIENCE, 76(12), 4018–4028.

author keywords: cotton; thrips; management; forecasting; decision support; Gossypium hirsutum; Frankliniella fusca
MeSH headings : Animals; Gossypium; Seedlings; Thysanoptera; Tobacco; United States
TL;DR: A composite model of thrips phenology and cotton seedling susceptibility is empirically developed to predict site-specific infestation risk so that monitoring and other resources can be allocated efficiently, and to inform stakeholders about the dynamics of thriPS infestation andotton seedling injury at a time when thrips are evolving resistance to commonly-used pesticides. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 10, 2020

Abstract