This study assessed the risk exposure of the production system of a typical farm in southern Brazil. Five possible production systems were analyzed, combining three crops (soybeans, corn seasons and wheat) in different crop-year combinations, for example: "Summer soybeans followed by corn" and "Autumn corn followed by winter wheat". Five different production systems were created based on the intensity of land use for each of the crops. Primary data were collected from a typical farm in the producing region over eight seasons (2006/07 to 2013/14). The Monte Carlo simulation technique was used to evaluate negative Net Operating Revenue (NOR) risk. The results showed that the production system with soybean and first season corn had a higher NOR and lower risk when compared with the other four production systems, which intensified the land use in the second season. When the production system had a higher rate of corn and/or wheat, the NOR and the risk to the production system increased for the first or second crop. Both corn and wheat in the second crop increased the risk to the production system on the typical farm in Cascavel, in the state of Parana (PR).
This study aims to describe how cotton farms in the state of Mato Grosso in Brazil are configured by building a model that optimizes income and risk for a combination of crops (cotton [first and second crop], soybean, and corn second crop). Two regions were defined: North and East Central Aggregate. The first region comprises the production of soybean in the summer and cotton and corn in the second harvest, while the second is restricted to the cultivation of cotton and soybean in the summer and corn in the second harvest. An optimization model was used to build a production efficiente frontier of crop combinations by analyzing the return-risk ratio. The model shows that the use of soybean crops in the summer season provides greater gains in profitability. Revenue is maximized in the area by an increase in the cotton crop during the first harvest; however, this exposes the farm to greater production risks. The use of second crops helps mitigate this production risk for farms.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.