Genetic parameters of different ftir-enabled phenotyping tools derived from milk fatty acid profile for reducing enteric methane emissions in dairy cattle

This study aimed to infer the genetic parameters of five enteric methane emissions (EME) predicted from milk infrared spectra (13 models). The reference values were estimated from milk fatty acid profiles (chromatography), individual model-cheese, and daily milk yield of 1158 Brown Swiss cows (85 farms). Genetic parameters were estimated, under a Bayesian framework, for EME reference traits and their infrared predictions. Heritability of predicted EME traits were similar to EME reference values for methane yield (CH4 /DM: 0.232–0.317) and methane intensity per kg of corrected milk (CH4 /CM: 0.177–0.279), smaller per kg cheese solids (CH4 /SO: 0.093–0.165), but greater per kg fresh cheese (CH4 /CU: 0.203–0.267) and for methane production (dCH4: 0.195–0.232). We found good additive genetic correlations between infrared-predicted methane intensities and the reference values (0.73 to 0.93), less favorable values for CH4 /DM (0.45–0.60), and very variable for dCH4 according to the prediction method (0.22 to 0.98). Easy-to-measure milk infrared-predicted EME traits, particularly CH4 /CM, CH4 /CU and dCH4, could be considered in breeding programs aimed at the improvement of milk ecological footprint.