Componentes de produção da soja estimados pelo aquacrop no estado de Alagoas

Abstract

ABSTRACT

The advance in the production of soybean in the Coastal Tablelands of Alagoas is an option for the diversification of local agribusiness. For this reason, the objective of the present work was to evaluate the performance of the AquaCrop® model for simulating the components of soybean production and to identify the correlations between biomass data and grain yield. The input data for the evaluation of the model were obtained in two experiments installed in the field at the Campus of Agricultural Sciences of the Federal University of Alagoas: one irrigated (E1), during the dry season, and another in rainfed (E2) in the rainy season of the region. The experimental design used was in randomized blocks with five replications. The varieties evaluated were M-8349 (C1) and BMX-POWER (C2). The AquaCrop® model was evaluated using field data obtained under the agrometeorological conditions of Rio Largo, AL. The performance of this model was evaluated through statistical comparisons, such as the concordance index, Pearson's correlation coefficient, confidence index, percentage deviation and square root of the mean error. In the evaluation of the AquaCrop® model, there was an underestimation of the biomass accumulation for C2 - E1, C1 - E2 and C2 - E2, of -9.77; -2.25 and -3.93%, respectively, while for C1 - E2 there was an overestimation of 0.77%. The Willmott concordance index (d) was 0.99, for C1 and C2 - E1, and 0.97 and 0.94, for C1 - E2 and C2 E2, respectively. Pearson's correlation coefficient ranged from 0.99 (C1 - E1) to 0.91 (C2 - E2). The confidence index ranged from 0.98 to 0.91, for C1 - E1 and C2 - E2, respectively. The square root of the mean error ranged from 1.02 to 1.37 (t ha-1) for C2 -E1 and C1 -E2, respectively. Grain yield was overestimated for the cultivar M-8349 (C1) by 1.18 (E1) and 5.38% (E2), as well as for the cultivar BMX-POWER (C2) by 0.13% (E2). There was an underestimation of -1.03% in the first season for the BMX-POTÊNCIA cultivar. The AquaCrop® model has a satisfactory fit for the soybean crop in the climate and soil conditions in the region of Rio Largo, AL.

Keywords: Agricultural modeling; Glycine max (L.) Merrill; Productivity.