Forecast models of coffee leaf rust symptoms and signs based on identified microclimatic combinations in coffee-based agroforestry systems in Costa Rica
Coffee 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 period...
Autores principales: | Merle, Isabelle, Tixier, Philippe, Virginio Filho, Elías de Melo, Gilas, Chistian, Avelino, Jacques |
---|---|
Formato: | Artículo |
Lenguaje: | Inglés |
Publicado: |
Elsevier, Ámsterdam (Países Bajos)
2020
|
Materias: | |
Acceso en línea: | https://doi.org/10.1016/j.cropro.2019.105046 https://repositorio.catie.ac.cr/handle/11554/9736 |
Ejemplares similares
-
Forecast models of coffee leaf rust symptoms and signs based on identified microclimatic combinations in coffee-based agroforestry systems in Costa Rica
por: Merle, Isabelle, et al.
Publicado: (2020) -
Risk management in agriculture Ongoing studies with coffee farmers in Costa Rica affected by coffee leaf rust
por: Naranjo, María Angélica
Publicado: (2020) -
Economic constraints as drivers of coffee rust epidemics in Nicaragua
por: Villareyna, Rogelio., et al.
Publicado: (2020) -
Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches
por: Lasso, Emmanuel, et al.
Publicado: (2021) -
Epidemics and the future of coffee production.
por: Rhiney, Kevon, et al.
Publicado: (2021)