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- Title
MODELOS AGROMETEOROLÓGICOS PARA PREVISÃO DA PRODUÇÃO DE MILHO EM MATO GROSSO DO SUL.
- Authors
ARGENTA MOCINHO JUNIOR, MARCO AURÉLIO; PEREIRA CENTURION, WILLIAN; SOUZA PRADO, ARTHUR FERREIRA; BOTEGA TORSONI, GUILHERME; EDUARDO DE OLIVEIRA APARECIDO, LUCAS; SILVA COSTA, CICERO TEIXEIRA
- Abstract
Corn represents one of the main cereals cultivated and consumed in the world, due to its high productive potential, chemical composition and nutritional value. However, its production is highly climate dependent. The objective of this study was to estimate maize yield by calibrating statistical models for the state of Mato Grosso do Sul - MS. The cities studied were Chapadão do Sul, Costa Rica, Ponta Porã and Sidrolândia. The climatic variables used were air temperature, rainfall, potential evapotranspiration, deficit and excess water from 2003 to 2017 between February and May. The models were calibrated and compared by the KNN and RANDOM methods. The accuracy and precision of the models were analyzed by the mean percentage error and the adjusted determination coefficient, respectively. The variables that most influenced corn production were water deficit and air temperature. It is possible to estimate corn yield with multiple linear regressions using climate variables. Chapadão do Sul and Costa Rica have high levels of water deficit, while Ponta Porã and Sidrolândia have low deficits. The most accurate model for estimating maize yield in cities was the RANDOM method.
- Publication
Revista IRRIGA - Brazilian Journal of Irrigation & Drainage, 2019, p38
- ISSN
1413-7895
- Publication type
Article
- DOI
10.15809/irriga.2019v1n1p38-47