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dc.contributor.authorMerle, Isabelle
dc.contributor.authorTixier, Philippe
dc.contributor.authorVirginio Filho, Elías de Melo
dc.contributor.authorGilas, Chistian
dc.contributor.authorAvelino, Jacques
dc.date.accessioned2020-10-22T19:21:37Z
dc.date.available2020-10-22T19:21:37Z
dc.date.issued2019
dc.identifier.urihttps://doi.org/10.1016/j.cropro.2019.105046
dc.identifier.urihttps://repositorio.catie.ac.cr/handle/11554/9736
dc.description.abstractCoffee leaf rust is a polycyclic disease that causes severe epidemics impacting yield over several years. For this reason, since the 1960s, more than 20 models have been developed to predict different indicators of the disease’s development and help manage it. In existing models, standardized periods of influence of the meteorological predictors of the disease are determined a priori, based on strong assumptions. However, the appearance of a symptom or sign can be influenced by complex combinations of meteorological variables acting at different times and for different durations. In our study, we monitored a total of 5400 coffee leaves during a year and a half, in different agroforestry systems, in order to detect the onset dates of the disease symptoms, such as lesion emergence, and signs, such as sporulation and infectious area increase. In these agroforestry systems, we also recorded microclimate. We statistically identified the complex combinations of microclimatic variables responsible for changes in lesion status to construct three models predicting lesion emergence probability, lesion sporulation probability and growth of its infectious area. Our method allowed the identification of different microclimatic variables that fit well with the knowledge about the coffee leaf rust biology. Minimum air temperature from 20 to 18 days before a lesion emergence explained the status change from healthy to emergence of visible lesion, possibly because the short germination phase is stimulated by low temperatures. We also found a unimodal effect of rainfall over a period of 10 days, 33 days before lesion emergence, with a maximum at 10 mm.es_ES
dc.language.isoenes_ES
dc.publisherElsevier, Ámsterdam (Países Bajos)es_ES
dc.relation.ispartofCrop Protection Volumen. 130 (2020)es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectCAFE ARABICAes_ES
dc.subjectROYA DEL CAFEes_ES
dc.subjectMICROCLIMAes_ES
dc.subjectSISTEMAS AGROFORESTALESes_ES
dc.subjectAGRICULTORESes_ES
dc.subjectPREVENCION DEL RIESGOes_ES
dc.subjectCONTROL DE ENFERMEDADESes_ES
dc.subjectAGRO METEREOLOGIAes_ES
dc.subjectEXPERIMENTOS DE CAMPOes_ES
dc.subjectHEMILEIA VASTATRIXes_ES
dc.subjectCOSTA RICAes_ES
dc.titleForecast models of coffee leaf rust symptoms and signs based on identified microclimatic combinations in coffee-based agroforestry systems in Costa Ricaes_ES
dc.typeArtículoes_ES


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