Due to their large contribution to anthropogenic GHG emissions, mitigating methane (CH4) emissions originating from enteric fermentation of fiber in ruminants such as cattle, has become a current focus in animal breeding. This is because exploiting genetics by integrating CH4 emissions in the breeding goal is a promising tool as it enables continuous and long-term improvement. However, a sustainable design of the selection index requires a thorough understanding of the new traits' genetic architecture and relationship with already existing breeding goal traits. This study attempted a detailed analysis of CH4 traits, such as CH4 and CO2 concentrations in the cows' breath (CH4C and CO2C) as well as the ratio of these traits (CH4: CO2 ratio), and their genetic connection with milk production traits, using a sample of 4, 019 Danish Holstein cows with 587, 640 daily observations. Records of CH4C and CO2C were measured using sniffers installed on commercial Danish dairy farms. To estimate heritabilities and genetic correlations, we applied pedigree-based uni- and bivariate repeatability linear animal models while differentiating between growing (i. e. , primiparous, PP) and adult (i. e. , multiparous, MLP) cows. For the CH4 traits, heritabilities were between 0. 08 (se = 0. 01) for the CH4: CO2 ratio in MLP cows and 0. 19 (se = 0. 03) for CH4C in PP cows. Repeatabilities were between 0. 13 (se = 0. 01) for the CH4: CO2 ratio and 0. 42 (se = 0. 01) for CO2C, both in MLP cows. Genetic correlations with milk production traits were in a moderate to high unfavorable direction and stronger for MLP cows, e. g. , 0. 44 (se = 0. 09) between CH4C and ECM, which indicates increasing emissions with higher milk production. Our results confirm the unfavorable relationship between milk production and CH4 emissions found in previous studies. Moreover, they raise the need for follow-up studies (1) to develop a CH4 trait that is genetically independent from milk production to enable breeding for lower emitting cows without compromising milk production and (2) that include information on possible mediating factors of the genetic correlations found in this study (e. g. , feed intake data) to further decipher the relationship between enteric CH4 emissions and milk production.
Schneider et al. (Mon,) studied this question.