Maranhao, S. R. ， Santos, E. C. ， Candido, M. J. D. ， Silva, R. G. ， Cavalcante, A. C. R.
2025 ARQUIVO BRASILEIRO DE MEDICINA VETERINARIA E ZOOTECNIA 2025 77(卷), 4(期), (null页)
This study was carried out to statistically evaluate the performance of the PHYGROW model in simulating the growth of corn and sorghum plants in different locations in the semi-arid region of Ceara State, Brazil. Corn and sorghum production data were obtained in seven macro-regions, where the characterization of ecological sites was previously performed using soil and vegetation information for model parameterization. Biomass production data were collected in the 2021 and 2022 rainy seasons. The obtained models were statistically analyzed by the following estimators: estimation bias (BIAS), mean absolute error (MAE), estimation efficiency (EE) and Willmotts index of agreement (d). The results showed the suitability of the PHYGROW model to simulate the growth of corn and sorghum crops in different semi-arid regions of Ceara State; however, the statistical estimators stressed the need for a larger database to improve forecast accuracy.