Uso de modelos agrometeorologicos na estimativa de produtividade da cultura do amendoim: uma revisão bibliográfica

Abstract

Peanut is one of the main agricultural crops in both Brazil and the world. In light of the complications caused by climate change in agricultural production, agrometeorological models have emerged as precise tools, whose application becomes essential for identifying weaknesses in production systems, optimizing available resources, and enhancing the capacity to adapt to adverse conditions. This study aimed to conduct a literature review on the use of agrometeorological models in estimating peanut yield, identifying the main factors that affect productivity, the variables involved, and the applicability of these models in different agricultural contexts. It was observed that the agrometeorological models AquaCrop, CROPWAT, and DSSAT are effective tools for estimating peanut productivity, as they consider climatic, edaphic, and management variables. The main factors identified as influencing crop yield were water availability, sowing time, and plant density. The importance of calibrating and validating the models with local data to ensure greater simulation accuracy was also highlighted. It is concluded that these models support agricultural planning and decision-making.