Abstract

Rice is the second most consumed grain in the world. In Brazil, Rio Grande do Sul (RS) is the largest producer of paddy rice. Therefore, the objective of this study is to evaluate the factors that influence the production value of this cereal. To explain the value of rice production, production variables obtained from the Department of Economics and Statistics website and derived variables taken from the Brazilian Daily Weather Gridded Data website were used, referring to the year 2019. The variables found present a non-normal and heteroscedastic distribution, justifying the use of the generalized linear regression technique. The selection of variables for the models was done using the stepwise method. The models found demonstrated that the annual average of solar radiation and the annual average of rainfall transfer influence the value of rice production in RS, as well as in other studies. However, these models may not be suitable to capture the non-linear relationship between grain production value and variables such as climate and production.

Keywords

• Gamma distribution
• generalized linear model
• linear model
• rice

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