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Primary and secondary yield losses caused by pests and diseases: assessment and modeling in coffee

Authors :
Clémentine Allinne
Rolando Cerda
Philippe Tixier
Esther Lechevallier
Jacques Avelino
Christian Gary
Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM)
Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut National de la Recherche Agronomique (INRA)
Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Program of Sustainable Agriculture and Agroforestry
Centro Agronomico Tropical de Investigacion y Ensenanza (CATIE)
Bioagresseurs, analyse et maîtrise du risque (Cirad-Bios-UPR 106 Bioagresseurs)
Département Systèmes Biologiques (Cirad-BIOS)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Instituto Interamericano de Ciencias Agricolas (IICA)
Fonctionnement écologique et gestion durable des agrosystèmes bananiers et ananas (Cirad-Persyst-UR 26 GECO)
Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST)
Ecole Nationale Supérieure Agronomique de Toulouse
French National Institute for Agricultural Research (INRA)
Tropical Agricultural Research and Higer Education Center (CATIE)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM)
Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Bioagresseurs, analyse et maîtrise du risque (UPR Bioagresseurs)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Fonctionnement écologique et gestion durable des agrosystèmes bananiers et ananas (UR GECO)
École nationale supérieure agronomique de Toulouse [ENSAT]
Cerda, Rolando
Source :
PLoS ONE, PLoS ONE, Public Library of Science, 2017, ⟨10.1371/journal.pone.0169133⟩, PloS One, PLoS ONE, Vol 12, Iss 1, p e0169133 (2017), Plos One, . (2017)
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

The assessment of crop yield losses is needed for the improvement of production systems that contribute to the incomes of rural families and food security worldwide. However, efforts to quantify yield losses and identify their causes are still limited, especially for perennial crops. Our objectives were to quantify primary yield losses (incurred in the current year of production) and secondary yield losses (resulting from negative impacts of the previous year) of coffee due to pests and diseases, and to identify the most important predictors of coffee yields and yield losses. We established an experimental coffee parcel with full-sun exposure that consisted of six treatments, which were defined as different sequences of pesticide applications. The trial lasted three years (2013–2015) and yield components, dead productive branches, and foliar pests and diseases were assessed as predictors of yield. First, we calculated yield losses by comparing actual yields of specific treatments with the estimated attainable yield obtained in plots which always had chemical protection. Second, we used structural equation modeling to identify the most important predictors. Results showed that pests and diseases led to high primary yield losses (26%) and even higher secondary yield losses (38%). We identified the fruiting nodes and the dead productive branches as the most important and useful predictors of yields and yield losses. These predictors could be added in existing mechanistic models of coffee, or can be used to develop new linear mixed models to estimate yield losses. Estimated yield losses can then be related to production factors to identify corrective actions that farmers can implement to reduce losses. The experimental and modeling approaches of this study could also be applied in other perennial crops to assess yield losses.

Details

Language :
English
ISSN :
19326203
Database :
OpenAIRE
Journal :
PLoS ONE, PLoS ONE, Public Library of Science, 2017, ⟨10.1371/journal.pone.0169133⟩, PloS One, PLoS ONE, Vol 12, Iss 1, p e0169133 (2017), Plos One, . (2017)
Accession number :
edsair.doi.dedup.....a7d99396d5d350df02a20b49cb7e8d35
Full Text :
https://doi.org/10.1371/journal.pone.0169133⟩