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http://dx.doi.org/10.5532/KJAFM.2022.24.2.78

Estimation of Onion Leaf Appearance by Beta Distribution  

Lee, Seong Eun (Research Institute of Climate Change and Agriculture, NIHHS, RDA)
Moon, Kyung Hwan (Research Institute of Climate Change and Agriculture, NIHHS, RDA)
Shin, Min Ji (Research Institute of Climate Change and Agriculture, NIHHS, RDA)
Kim, Byeong Hyeok (Research Institute of Climate Change and Agriculture, NIHHS, RDA)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.24, no.2, 2022 , pp. 78-82 More about this Journal
Abstract
Phenology determines the timing of crop development, and the timing of phenological events is strongly influenced by the temperature during the growing season. In process-based model, leaf area is simulated dynamically by coupling of morphology and phenology module. Therefore, the prediction of leaf appearance rate and final leaf number affects the performance of whole crop model. The dataset for the model equation was collected from SPA R chambers with five different temperature treatments. Beta distribution function (proposed by Yan and Hunt (1999)) was used for describing the leaf appearance rate as a function of temperature. The optimum temperature and the critical value were estimated to be 26.0℃ and 35.3℃, respectively. For evaluation of the model, the accumulated number of onion leaves observed in a temperature gradient chamber was compared with model estimates. The model estimate is the result of accumulating the daily increase in the number of onion leaves obtained by inputting the daily mean temperature during the growing season into the temperature model. In this study, the coefficient of determination (R2) and RMSE value of the model were 0.95 and 0.89, respectively.
Keywords
Onion; Phenology; Temperature; Leaf development; Beta function;
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