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Agrometeorological models for estimating sweet cassava yield

Victor Brunini Moreto, Lucas Eduardo de Oliveira Aparecido, Glauco de Souza Rolim, José Reinaldo da Silva Cabral de Moraes
2018 Pesquisa Agropecuária Tropical  
Brazil is the fourth largest producer of cassava in the world, with climate conditions being the main factor regulating its production. This study aimed to develop agrometeorological models to estimate the sweet cassava yield for the São Paulo state, as well as to identify which climatic variables have more influence on yield. The models were built with multiple linear regression and classified by the following statistical indexes: lower mean absolute percentage error, higher adjusted
more » ... adjusted determination coefficient and significance (p-value < 0.05). It was observed that the mean air temperature has a great influence on the sweet cassava yield during the whole cycle for all regions in the state. Water deficit and soil water storage were the most influential variables at the beginning and final stages. The models accuracy ranged in 3.11 %, 6.40 %, 6.77 % and 7.15 %, respectively for Registro, Mogi Mirim, Assis and Jaboticabal.
doi:10.1590/1983-40632018v4850451 fatcat:f3gbpegvunfp3kxxhvkiwk3r6y