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

Abstract

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.

Hydrothermal Impacts of Water Release on Early Life Stages of White Sturgeon in the Nechako River, (B.C. Canada)

“…Until recently, the degree-day index was used extensively in agriculture and entomology (Herms 2004, García de Cortázar-Atauri et al 2009, Unigarro et al 2017, Murray 2020. Nevertheless, the degree-day index has been used to describe the relationship between temperature and growth and/or development patterns in fish (Neuheimer and Taggart 2007, Chezik et al 2014, Steele and Neuheimer 2022.…”

Efficiency in biomass accumulation of diploid potato cultivars (Solanum tuberosum, Phureja Group) in contrasting environments at elevation

“…There are different proposals and models for estimating thermal time; one of the most used to date is the one proposed by Arnold (1959) useful in environments where the environmental temperature does not exceed the thresholds for the development of the crop. However, without the Arnold model, adaptations such as the one proposed by (McMaster and Wilhelm (1997) or more complex models can be used, with better performance for specific areas or non-linear models (Rodríguez et al 2012;Unigarro et al 2017;Yin et al 2016;Zhou and Wang 2018). Biomass or dry mass is a destructive growth variable that provides direct information on fixed carbon and is used directly as total biomass or per organ, or in the construction of indirect measures such as indices (Hunt 1990).…”