Calibração e avaliação do modelo ORYZA-APSIM para o arroz de terras altas no Brasil / Calibration and evaluation of the ORYZA-APSIM model for the upland rice in Brazil

AUTOR(ES)
DATA DE PUBLICAÇÃO

2010

RESUMO

With the purpose of calibrating and evaluating the ORYZA-APSIM model for the upland rice in Brazil, seventeen field experiments were carried out at EMBRAPA Arroz e Feijão, in four upland rice Brazilian regions (Santo Antônio de Goiás-GO, Sorriso-MT, Gurupi and Teresina-PI), from 2005/2006 to 2008/2009 seasons. The model was calibrated and evaluated for an upland rice, cultivar BRS-Primavera. The calibration data were obtained from two field experiments carried out at the experimental area of EMBRAPA Arroz e Feijão, located at Santo Antônio de Goiás-GO, performed at two sowing dates during the 2008/2009 season. The following variables were defined in the calibration: (i) the effective heat daily units, (ii) phenological development rates at each crop stage, (iii) fractions of the dry matter of leaves, stems, storage organs and stems of reserves during the developmental crop stages, (iv) initial growth rate of leaf area and (v) parameters used to define the specific leaf area. In the model evaluation, simulated values were compared with observed values of total dry matter of shoot (DMS), dry matter of green leaves (DMGL), leaf area index (LAI), yield and duration (number of days) of the period from emergence to flowering of upland rice crop. The model did not present satisfactory performance to simulate the duration of different phenological phases of development for the Teresina-PI region (the numbers of simulated days were, in average, eight days greater than the observed values). The LAI, DMS and DMGL values were evaluated for the conditions of the two experiments used for calibration. The LAI simulations differed from the values observed in both experiments, where the final DMS simulated values were similar to those observed, but differed during the phase between flowering and physiological maturity point. The simulated DMGL showed a better performance in the first experiment, but regular in the second experiment. In the second field experiment, the DMS, DMGL and LAI variations were due to a period of drought stress simulated in the model. The model greatly penalized the growth of the culture under conditions of drought stress. The water stress effect was overestimated in the model. Comparing the simulated and observed values of yield, using a linear regression, it was verified that the model (ORYZA-APSIM) can define the magnitude order of upland rice productivity at 10% of significance level.

ASSUNTO(S)

modeling. arroz oryza sativa variedades vegetais. modelagem de dados oryza-apsim brs-primavera

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