The canola crop (Brassica napus L.) has great economic importance, due to the high quality of its oil and high protein content in its grains. As its cultivation takes place in winter, there are extensive idle areas of ...

Climate changes and populacional growth lead us to rethink human action upon the environment, as well as bring a light on the sustainability management. By an United Nations (UN) action in the year of 2000, supported by ...

Linear relationships help in the selection of characters of agronomic interest and can be useful in understanding the factors within the agronomic management of corn, such as cultivation environment, sowing time and ...

The average soybean yield in Rio Grande do Sul (RS) is 50% of yield potential, being the main limiting factor water deficit. Estimates of yield gaps provide important information about the possibility of increasing production ...

Carrying out studies of yield potential (Yp), water-limited yield potential (Yw) and yield gaps (Yg) on a local scale allows us to understand the peculiarities and limitations of the interaction between genetics, management, ...

In the last decades, soybean cultivation has become the majority in national agribusiness and, particularly in the state of Rio Grande do Sul, contributing to economic performance through its importance for raising the ...

This research aimed to analyze the Norms, which guide the quality of primary productive activities, as well as consolidate the concept and procedures in the social context of the business world. This process was guided ...

Ectomycorrhizal fungi (fECM) combined with the plant root system improve the absorption of water and nutrients, providing great plant growth, especially in environments with nutritional deficiency or degraded. Due to the ...

Research on digital soil mapping (DSM) in Brazil is subject to the existence of legacy soil data obtained through conventional methods for extrapolation of soil-landscape relations. In areas with no available soil maps, ...

The models based on spatially distributed processes describe erosion and sediment yield using a physical approach of the mechanisms. In general, these models require high quality input data, description of the landscape, ...