Behaviour of Grazing Goats on Tanzania Grassland under Different Residue Leaf Area Index in Southeastern Brazil

Defoliation intensity is important for grassland management. While the residue is the result of defoliation, maintaining a remaining leaf area is essential, as leaf area index (LAI) determines forage yield, by increasing percentage of light interception and incident light capture. The understanding of animal behavior is also essential for adopting strategic measures to manage grasslands since the behavioral factor is the link between plant and animal performance. The objective of this study was to evaluate changes of the behavioral characteristics of goats grazing on Tanzania grassland (Panicum maximum cv. Tanzania) under rotational stocking with different residue leaf area index (RLAI)

Assessment of Methane Production by Goats under Intermittent Grazing

There are 875 million goats worldwide (FAO 2012) and the majority are in developing countries where they are typically raised on pasture. Ruminants release gross energy as methane, which is a greenhouse gas. Mthane mitigation strategies require prior knowledge about emission of methane by animals under different management systems. Intake, quality and type of feed are factors that influence methane emissions, therefore the objective of this study was to investigate how grazing intensity, measured by the residual leaf area index (RLAI), influences methane emission by goats under rotational grazing on Tanzania grass pasture

Influence of soil sample preparation on the quantification of NPK content via spectroscopy

Sampling density is a parameter that allows to identify the spatial variability of properties of interest in soils and is essential for precision agriculture practices, such as fertilizer application in variable rate. Soil sensors and spectroscopic techniques have been investigated and reported as promising tools, although showing some limitation in characterizing the chemical fertility of soils. One of the causes of the limitations is the way samples are prepared. Therefore, the aim of this work was to evaluate the effect of sieving and of drying temperature, on the determination of total nitrogen and phosphorus and potassium contents, by using Vis-NIR and Mid-Infrared spectroscopies. We found that Diffuse Reflectance Spectroscopy in the Visible and Near-Infrared region of the spectra shows better performance of the prediction models than of the Attenuated Total Reflectance Spectroscopy in the Mid-Infrared region. We did not identify significant influence of drying temperature neither of soil particle size on the predictive quality of the models generated via Vis-NIR spectroscopy; thus, the extra expenditure of time and cost for a more intense preparation of the soil samples would not be justifiable. In addition, we infer that the high prediction error may limit the applicability of spectroscopy for guiding the variable-rate application of fertilizers within the scope of precision agriculture338401409COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPnão tem2015/21616-