Spatial variability of methane and carbon dioxide gases in a Compost-Bedded Pack Barn system
¹Federal University of Lavras, Department of Agricultural Engineering, University Campus, PO Box 3037 - CEP 37200-000 Lavras, Minas Gerais, Brazil
²Universidad Nacional de Colombia, sede Medellín, Facultad de Ciencias Agrarias, Grupo de Investigación en Biodiversidad y Genética Molecular (BIOGEM). Carrera 65 #59A-110, postal code 050034 Medellín, Colombia
³University of Firenze, Department of Agriculture, Food, Environment and Forestry, 13 Via San Bonaventura, IT 50145 Firenze, Italy
*Correspondence: patricia.ponciano@ufla.br
Abstract:
The dairy sector significantly contributes to global food production, however, it is closely associated with environmental concerns, specifically the emission of greenhouse gases such as methane (CH4) and carbon dioxide (CO2). The research problem focuses on the environmental impact of livestock farming, particularly in relation to the emission of greenhouse gases (GHG) such as methane (CH4) and carbon dioxide (CO2). Therefore, the objective of this paper was to assess the spatial variability of CH4 and CO2, as well as the thermal environment through the Temperature and Humidity Index (THI) and of air velocity (V, m s-1) in a Compost Bedded Pack (CBP). The experiment was carried out in October 2023, in a commercial dairy cattle facility measuring 54×22×4.5 m (length×width×height) that housed 80 lactating cows. Measurements were collected at 75 points, 0.25 m above the bedding, for one minute in each point. To characterize the distribution of gases and the thermal environment, the data were underwent geostatistical techniques and kriging maps. THI values ranged from 72.4 to 78.4, categorizing the animals into two environments within the facility, comfort and alert to thermal conditions. The maximum recorded for CO2 was 713.60 ppm in the region with a low ventilation incidence. CH4 reached a ranging from 103.38 to 196.73 ppm in areas with low ventilation and higher temperatures. The use of geostatistics enabled the characterization of spatial variability of greenhouse gases CH4 and CO2, as well as THI and V. Analyzing these variables is crucial for implementing mitigation actions and developing an increasingly sustainable production system.
Key words:
animal welfare, dairy cattle, gas monitoring, geostatistics, greenhouse gases