Published

2017-09-01

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

Evaluación de cuatro métodos para estimar grados-día en ocho zonas cafeteras colombianas

DOI:

https://doi.org/10.15446/agron.colomb.v35n3.65221

Keywords:

thermal time, temperature, numerical integration, linear regression, bias (en)
tiempo térmico, temperatura, integración numérica, regresión lineal, sesgo (es)

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Methods 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 historical 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.

Los métodos que estiman la acumulación de los grados-día basados en datos de temperatura máxima y mínima diaria son comúnmente usados para determinar relaciones o hacer ajustes en modelos fenológicos basados en "tiempo fisiológico". La obtención de los grados-día con estos métodos se hace de manera indirecta, dado a que en general no se dispone de información de temperaturas a escala horaria e incuso menor, debido al tipo de equipo utilizado para tomar registros o por la pérdida de datos en series históricas. Con el objetivo de determinar el desempeño de estos métodos, se estimaron los grados-día con cuatro métodos indirectos en ocho localidades colombianas durante 1 año. Cada uno de los métodos se evaluó con respecto al método de integración numérica por regla del trapecio (método de referencia) usando las temperaturas registradas cada 5 min. El desempeño de los métodos se evaluó a partir de un modelo de regresión lineal y sus respectivos errores. Los métodos de Arnold, Ometto y Snyder, según el porcentaje de sesgo, tienden a sobrestimar el tiempo térmico, mientras el método de Villa-Nova lo subestima, pero con un menor desempeño respecto a los anteriores.

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How to Cite

APA

Unigarro, C. A., Bermudez Florez, L. N., Medina, R. D., Jaramillo, A. and Flórez, C. P. (2017). Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas. Agronomía Colombiana, 35(3), 357–364. https://doi.org/10.15446/agron.colomb.v35n3.65221

ACM

[1]
Unigarro, C.A., Bermudez Florez, L.N., Medina, R.D., Jaramillo, A. and Flórez, C.P. 2017. Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas. Agronomía Colombiana. 35, 3 (Sep. 2017), 357–364. DOI:https://doi.org/10.15446/agron.colomb.v35n3.65221.

ACS

(1)
Unigarro, C. A.; Bermudez Florez, L. N.; Medina, R. D.; Jaramillo, A.; Flórez, C. P. Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas. Agron. Colomb. 2017, 35, 357-364.

ABNT

UNIGARRO, C. A.; BERMUDEZ FLOREZ, L. N.; MEDINA, R. D.; JARAMILLO, A.; FLÓREZ, C. P. Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas. Agronomía Colombiana, [S. l.], v. 35, n. 3, p. 357–364, 2017. DOI: 10.15446/agron.colomb.v35n3.65221. Disponível em: https://revistas.unal.edu.co/index.php/agrocol/article/view/65221. Acesso em: 27 apr. 2024.

Chicago

Unigarro, Carlos Andres, Leidy Natalia Bermudez Florez, Rubén Darío Medina, Alvaro Jaramillo, and Claudia Patricia Flórez. 2017. “Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas”. Agronomía Colombiana 35 (3):357-64. https://doi.org/10.15446/agron.colomb.v35n3.65221.

Harvard

Unigarro, C. A., Bermudez Florez, L. N., Medina, R. D., Jaramillo, A. and Flórez, C. P. (2017) “Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas”, Agronomía Colombiana, 35(3), pp. 357–364. doi: 10.15446/agron.colomb.v35n3.65221.

IEEE

[1]
C. A. Unigarro, L. N. Bermudez Florez, R. D. Medina, A. Jaramillo, and C. P. Flórez, “Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas”, Agron. Colomb., vol. 35, no. 3, pp. 357–364, Sep. 2017.

MLA

Unigarro, C. A., L. N. Bermudez Florez, R. D. Medina, A. Jaramillo, and C. P. Flórez. “Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas”. Agronomía Colombiana, vol. 35, no. 3, Sept. 2017, pp. 357-64, doi:10.15446/agron.colomb.v35n3.65221.

Turabian

Unigarro, Carlos Andres, Leidy Natalia Bermudez Florez, Rubén Darío Medina, Alvaro Jaramillo, and Claudia Patricia Flórez. “Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas”. Agronomía Colombiana 35, no. 3 (September 1, 2017): 357–364. Accessed April 27, 2024. https://revistas.unal.edu.co/index.php/agrocol/article/view/65221.

Vancouver

1.
Unigarro CA, Bermudez Florez LN, Medina RD, Jaramillo A, Flórez CP. Evaluation of four degree-day estimation methods in eight Colombian coffee-growing areas. Agron. Colomb. [Internet]. 2017 Sep. 1 [cited 2024 Apr. 27];35(3):357-64. Available from: https://revistas.unal.edu.co/index.php/agrocol/article/view/65221

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