Risks associated with a double-cropping production system - a case study in southern Brazil

Abstract

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).

Monitoring of Brazilian wheat blast field populations reveals resistance to QoI, DMI, and SDHI fungicides

“…This strong selection pressure is reinforced by the intensive double‐cropping systems practised in tropical and subtropical Brazilian agroecosystems, which include rotations among wheat, maize and/or soybean. In these cropping systems, wheat is directly sprayed with QoI, DMI, and SDHI fungicides to target aerial pathogens such as PoTl during the typical autumn‐winter cropping season, while other Poaceae hosts that typically invade maize or soybean fields are indirectly sprayed with the same fungicides that are applied to the alternating crop in the subsequent spring‐summer cropping season (Osaki et al, 2019). An alternative hypothesis is that no fitness costs are associated with QoI and azole resistance, resulting in the persistence of resistant genotypes even in the absence of selection pressure.…”

Aplicação do método de Monte Carlo para previsão do índice de Overall Equipment Effectiveness de uma máquina produtora de celulose

“…Para Osaki et al (2019), existem duas limitações signifi -ca� vas atreladas ao método de Monte Carlo que devem ser consideradas ao aplicá-lo em um estudo. O primeiro deles seria a difi culdade em determinar, algebricamente, a distribuição de probabilidade das variáveis analisadas, quando não há conhecimento prévio sufi ciente sobre a base de dados.…”

Caracterização Da Dinâmica Produtiva De Grãos E Da Propriedade Típica Regional No Sul Do Brasil

“…Outros componentes captados envolvem forma de financiamento da produção, seguro agrícola, forma de comercialização, dentre outros custos diversos. Procedimento similar pode ser encontrado em Osaki et al (2019).…”