Predicting the dynamics of enteric methane emissions based on intake kinetic patterns in dairy cows fed diets containing either wheat or corn

The production of methane by the rumen microbiota is a complex biological process. When tackling modelling production, modeller decides what complexity needed to answer scientific question for which model intended. Such choice results in diversity possible models spanning both empirical and mechanistic approaches. Within framework precision livestock farming, simple dynamic offer great advantages integrating online data ( e.g. , feed intake) predict individual emissions from cattle. Accordingly, we previously developed, with satisfactory results, that uses DM intake kinetics as single predictor finishing beef steers. objective present work was assess capability developed pattern dairy cows fed diet containing either wheat grain or corn grain. We showed its original form enables description dynamics an average determination coefficient r 2 ) 0.65 concordance correlation 0.81 RMSE 16% 26% corn-based wheat-based diets, respectively. Additionally, performed principal component analysis associating parameters variables characterising feeding behaviour cows. effect type on animals. This impact propagated emissions. Interestingly, our enabled us determine differences patterns between diets result simply dependency yield rate constant eructation type.