Brown, Molly ORCID: 0000-0001-7384-3314, Mugo, Stephen, Petersen, Sebastian and Klauser, Dominik (2022) Designing a pest and disease outbreak warning system for farmers, agronomists and agricultural input distributors in East Africa. Insects, 13 (3):232. ISSN 2075-4450 (Online) (doi:https://doi.org/10.3390/insects13030232)

Preview

PDF (Publisher VoR) 35674_BROWN_Designing_a_pest_and_disease_outbreak.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Early warnings of the risks of pest and disease outbreaks are becoming more urgent, with substantial increases in threats to agriculture from invasive pests. With geospatial data improvements in quality and timeliness, models and analytical systems can be used to estimate potential areas at high risk of yield impacts. The development of decision support systems requires an understanding of what information is needed, when it is needed, and at what resolution and accuracy. Here, we report on a professional review conducted with 53 professional agronomists, retailers, distributors, and growers in East Africa working with the Syngenta Foundation for Sustainable Agriculture. The results showed that respondents reported fall armyworm, stemborers and aphids as being among the most common pests, and that crop diversification was a key strategy to reduce their impact. Chemical and cultural controls were the most common strategies for fall armyworm (FAW) control, and biological control was the least known and least used method. Of the cultural control methods, monitoring and scouting, early planting, and crop rotation with non-host crops were most used. Although pests reduced production, only 55% of respondents were familiar with early warning tools, showing the need for predictive systems that can improve farmer response.

Item Type:	Article
Uncontrolled Keywords:	fall armyworm; early warning system; maize; Kenya; Africa; cultural control
Subjects:	S Agriculture > S Agriculture (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Natural Resources Institute Faculty of Engineering & Science > Natural Resources Institute > Food & Markets Department
Related URLs:	Publisher
Last Modified:	31 Mar 2022 13:56
URI:	http://gala.gre.ac.uk/id/eprint/35674

Actions (login required)

View Item

Downloads