Track 5-1-3: Emission of Greenhouse Gases from Grasslands and Mitigation Actions
Description
The quantification of methane (CH4) from enteric fermentation related to cattle diet is a useful tool to identify strategies to mitigate greenhouse gas emissions. This is even important in tropical and subtropical regions due to the lack of CH4 estimations in beef cattle, particularly from Bos Indicus breeds grazing tropical grasses (Kurihara et al., 1999). Several modelling approaches have been developed in order to predict CH4 emission. However, the use of these models has limitations associated with uncertainty information required such as feed intake (FI), composition of the selected diet and animal responses (Gonzalez et al., 2014). FI is the main factor influencing CH4 emission. Individual FI measurements are not easy to achieve accurately in grazing animals rather than those located in pens, particularly under deferred tropical pastures at the end of the dry season, due to the large proportion of death forage. In this case, cattle supplementation with energetic and proteins concentrates, is a viable practice in order to improve animal FI and reduce CH4 emissions. The main objectives of this study was estimate and compare CH4 emission using data collected from experimental trials and predicted by a model (UNFCCC, 2014) in supplemented heifers grazing low quality Chloris gayana pasture in northwestern Argentina (Semiarid Chaco Region).
Included in
Methane Emission Estimated from Different Cattle Intake Data in Heifers Grazing a Tropical Pasture
The quantification of methane (CH4) from enteric fermentation related to cattle diet is a useful tool to identify strategies to mitigate greenhouse gas emissions. This is even important in tropical and subtropical regions due to the lack of CH4 estimations in beef cattle, particularly from Bos Indicus breeds grazing tropical grasses (Kurihara et al., 1999). Several modelling approaches have been developed in order to predict CH4 emission. However, the use of these models has limitations associated with uncertainty information required such as feed intake (FI), composition of the selected diet and animal responses (Gonzalez et al., 2014). FI is the main factor influencing CH4 emission. Individual FI measurements are not easy to achieve accurately in grazing animals rather than those located in pens, particularly under deferred tropical pastures at the end of the dry season, due to the large proportion of death forage. In this case, cattle supplementation with energetic and proteins concentrates, is a viable practice in order to improve animal FI and reduce CH4 emissions. The main objectives of this study was estimate and compare CH4 emission using data collected from experimental trials and predicted by a model (UNFCCC, 2014) in supplemented heifers grazing low quality Chloris gayana pasture in northwestern Argentina (Semiarid Chaco Region).
