Performance of low carbon intensified agriculture farm in the Brazilian Savanna by means of univariate and multivariate approaches

Abstract

The low-carbon agriculture is one of the central themes in the climate agenda. This study aimed to evaluate the performance of a low carbon farm in the Maranhão State, Brazil, using univariate and multidimensional approaches. The experimental design consisted of three replications of five treatments (land uses) (Cerrado as a reference area; no-tillage soybean-off-season corn; no-tillage corn-soybean-off-season corn; no-tillage corn-soybean; no-tillage soybean-off-season corn-Brachiarya brizantha), in five periods (Julian days: 28, 48, 83, 138 and 154), totaling 75 observations. The data were analyzed using univariate and multidimensional approaches. A statistically significant interaction was observed between treatment and period, indicating that the responses to the treatment vary with time. The plot that showed the best performance was the reference area, followed by the no-tillage soybean-off-season corn treatment.

Keywords

• greenhouse gases
• sustainable land use
• carbon sequestration
• carbon modeling