Applying CSM-CERES-Maize to define a sowing window for irrigated maize crop – The Riacho´s Farm case study

Abstract

Irrigation use constitutes an alternative to improve maize production in Central Minas Gerais State, Brazil. However, even under adequate water supply conditions, other environmental factors may influence maize crop growth and development and may, ultimately, affect grain yield. This study aimed to establish a sowing window for irrigated maize crop, based on simulation results obtained with the decision support model CSM- CERES-Maize. Simulations were made for crop management conditions of Riachos Farm, located in Matozinhos, Minas Gerais State, Brazil. It was employed the models seasonal tool, along with a data set containing 46 years of weather data records, to simulate maize yield for weekly sowing scenarios, starting on August 1 st and ending on July 24 th of each year. One defined an irrigated maize sowing window, taking into account the yield break risk that a farmer would be willing to take. The model proved to be an interesting tool to assist in decision making, regarding crop and irrigation management, for an irrigated maize production system. Assuming a 10% yield break in the expected average maximum maize yield, it was defined as sowing window, the period from January 23 rd to March 6 th , with February 20 th as the best sowing date. Other sowing windows may be established according to the risk that the farmer would be willing to take.