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Improved forecasting of coffee leaf rust by qualitative modeling: Design and expert validation of the ExpeRoya model

Natacha Motisi, Pierre Bommel, Grégoire Leclerc, Marie-Hélène Robin, Jean-Noël Aubertot, Andrea Arias Butron, Isabelle Merle, Edwin Treminio and Jacques Avelino

Agricultural Systems, 2022, vol. 197, issue C

Abstract: Coffee leaf rust (CLR) epidemics on Coffea arabica have led to severe socio-economic crises in Latin America starting in 2008. Until now, the scattered nature of scientific and empirical knowledge of the highly complex CLR-coffee pathosystem has been an obstacle to the development of CLR forecasting models.

Keywords: Hemileia vastatrix; Coffea arabica; Early warning modeling; Injury Profile SIMulator; Lecanicilium lecanii (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:197:y:2022:i:c:s0308521x2100305x

DOI: 10.1016/j.agsy.2021.103352

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Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen

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