Irish Cattle Breeding Federation, Ballincollig, Co. Cork, Ireland.
Department of Biological Sciences, Munster Technological University, Bishopstown, Co. Cork, Ireland.
J Anim Sci. 2022 Dec 1;100(12). doi: 10.1093/jas/skac349.
Rumen methanogenesis results in the loss of 6% to 10% of gross energy intake in cattle and globally is the single most significant source of anthropogenic methane (CH4) emissions. The purpose of this study was to analyze greenhouse gas traits recorded in a commercial feedlot unit to gain an understanding into the relationships between greenhouse gas traits and production traits. Methane and carbon dioxide (CO2) data recorded via multiple GreenFeed Emission Monitoring (GEM), systems as well as feed intake, live weight, ultrasound scanning data, and slaughter data were available on 1,099 animals destined for beef production, of which 648 were steers, 361 were heifers, and 90 were bulls. Phenotypic relationships between GEM emission measurements with feed intake, weight traits, muscle ultrasound data, and carcass traits were estimated. Utilization of GEM systems, daily patterns of methane output, and repeatability of GEM system measurements across averaging periods were also assessed. Methane concentrations varied with visit number, duration, and time of day of visit to the GEM system. Mean CH4 and CO2 varied between sex, with mean CH4 of 256.1 g/day ± 64.23 for steers, 234.7 g/day ± 59.46 for heifers, and 156.9 g/day ± 55.98 for young bulls. A 10-d average period of GEM system measurements were required for steers and heifers to achieve a minimum repeatability of 0.60; however, higher levels of repeatability were observed in animals that attended the GEM system more frequently. In contrast, CO2 emissions reached repeatability estimates >0.6 for steers and heifers in all averaging periods greater than 2-d, suggesting that cattle have a moderately consistent CO2 emission pattern across time periods. Animals with heavier bodyweights were observed to have higher levels of CH4 (correlation = 0.30) and CO2 production (correlation = 0.61), and when assessing direct methane, higher levels of dry matter intake were associated with higher methane output (correlation = 0.31). Results suggest that reducing CH4 can have a negative impact on growth and body composition of cattle. Methane ratio traits, such as methane yield and intensity were also evaluated, and while easy to understand and compare across populations, ratio traits are undesirable in animal breeding, due to the unpredictable level of response. Methane adjusted for dry matter intake and liveweight (Residual CH4) should be considered as an alternative emission trait when selecting for reduced emissions within breeding goals.
反刍动物甲烷生成会导致其摄入总能量的 6%到 10%流失,并且是人为甲烷(CH4)排放的最大单一来源。本研究旨在分析商业肥育场单位记录的温室气体特征,以了解温室气体特征与生产特征之间的关系。通过多个 GreenFeed Emission Monitoring(GEM)系统记录的甲烷和二氧化碳(CO2)数据,以及饲料摄入量、活重、超声扫描数据和屠宰数据,可用于 1099 头用于牛肉生产的动物,其中 648 头是阉牛,361 头是小母牛,90 头是公牛。估计了 GEM 排放测量值与饲料摄入量、体重特征、肌肉超声数据和胴体特征之间的表型关系。还评估了 GEM 系统的利用、甲烷输出的日变化模式以及 GEM 系统测量值在平均周期内的可重复性。甲烷浓度随访问 GEM 系统的访问次数、持续时间和访问时间而变化。CH4 和 CO2 的平均值因性别而异,阉牛的平均 CH4 为 256.1 g/天±64.23,小母牛的平均 CH4 为 234.7 g/天±59.46,小牛的平均 CH4 为 156.9 g/天±55.98。GEM 系统测量值的 10 天平均周期对于阉牛和小母牛来说,要达到最低可重复性 0.60;然而,在更频繁地访问 GEM 系统的动物中,观察到更高水平的可重复性。相比之下,在所有平均时间大于 2 天的时间段中,GEM 系统的 CO2 排放都达到了可重复性估计值>0.6,这表明牛在时间段内具有一致的 CO2 排放模式。观察到体重较重的动物具有较高水平的 CH4(相关系数=0.30)和 CO2 产量(相关系数=0.61),并且在评估直接甲烷时,较高水平的干物质摄入量与较高的甲烷排放量相关(相关系数=0.31)。结果表明,降低 CH4 可能会对牛的生长和身体成分产生负面影响。还评估了甲烷比特征,如甲烷产量和强度,虽然易于理解并且在人群中易于比较,但由于反应不可预测,因此在动物育种中不希望使用比率特征。当在育种目标中选择减少排放时,应考虑调整干物质摄入量和活重的甲烷(残留 CH4)作为替代排放特征。