Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas

dc.creatorCarlos Andrés Unigarro
dc.creatorLeidy Natalia Bermúdez
dc.creatorRubén Darío Medina
dc.creatorÁlvaro Jaramillo
dc.creatorClaudia Patricia Flórez
dc.date2017
dc.date.accessioned2026-07-07T02:44:10Z
dc.descriptionethods to estimate the accumulation of degree-days based on maximum and minimum temperaturesare are commonly used to determine relationships or to adjust phenological models based on the “physiological time”. Degree-days are obtained indirectly by these methods, this information is not generally available on hourly or shorter time scales due to the type of equipment used to record data or a data loss in histori - cal time series. To compare the performance of such methods, degree-days were estimated with four indirect methods in eight Colombian locations during 1 year. Each indirect method was evaluated in comparison to the numerical integration method by the trapezoidal rule (reference method) using temperatures recorded every 5 min. Based on the percent bias error, the methods proposed by Arnold, Ometto and Snyder tend to overestimate thermal time, whereas the Villa-Nova method underestimates this time, but with a lower performance as regards to the previous ones.
dc.formatapplication/pdf
dc.identifier0120-9965
dc.identifierhttps://www.redalyc.org/articulo.oa?id=180357360011
dc.identifierhttps://www.redalyc.org/journal/1803/180357360011/
dc.identifierhttps://www.redalyc.org/journal/1803/180357360011/html/
dc.identifierhttps://www.redalyc.org/journal/1803/180357360011/180357360011.epub
dc.identifierhttps://www.redalyc.org/journal/1803/180357360011/movil
dc.identifier.urihttp://hdl.handle.net/123456789/422249
dc.languageen
dc.publisherUniversidad Nacional de Colombia
dc.relationhttp://www.redalyc.org/revista.oa?id=1803
dc.rightsAgronomía Colombiana
dc.sourceAgronomía Colombiana (Colombia) Num.3 Vol.35
dc.subjectAgrociencias
dc.titleEvaluation of four degree-day estimation methods in eight Colombian coffee-growing areas
dc.typeartículo científico

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