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Empirical prediction of net portal appearance of volatile fatty acids, glucose, and their secondary metabolites (β-hydroxybutyrate, lactate) from dietary characteristics in ruminants: A meta-analysis approach¹

C. Loncke^*, I. Ortigues-Marty^*, J. Vernet^*, H. Lapierre, D. Sauvant and P. Nozière^*,2

^* Institut National de la Recherche Agronomique, UR 1213, Unité de Recherches sur les Herbivores, Theix, 63122 St Genès Champanelle, France and Dairy and Swine Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, Quebec JIMIZ3, Canada UMR 791, Physiologie de la Nutrition et Alimentation, Institut National de la Recherche Agronomique-AgroParisTech, 75231 Paris, France

² Corresponding author: noziere{at}clermont.inra.fr

The current trend in energy feeding systems for ruminants toward a nutrient-based system requires dietary energy supply to be determined in terms of amount and nature of absorbed energy-yielding nutrients. The objective of this study was to establish response equations on the net portal appearance (NPA) of VFA and glucose, and their secondary metabolites β-hydroxybutyrate (BHBA) and lactate, to changes in intake level and chemical dietary characteristics based on the Institut National de la Recherche Agronomique Feed Evaluation System for Ruminants. Meta-analyses were applied on published data compiled from the FLORA database, which pools the results on net splanchnic nutrient fluxes in multi-catheterized ruminants from international publications. For each nutrient, several prediction variables were tested. We obtained robust models for intakes up to 30 g of DM · d^–1 · kg of BW^–1 and diets containing less than 70 g of concentrate per 100 g of DM. These models were designed to predict the NPA (mmol · h^–1 · kg of BW^–1) of total VFA based on the amount of ruminally fermented OM (RfOM) intake [adjusted R² (R²_adj) = 0.95; residual means square errors (RMSE) = 0.24], to predict VFA profile (mol/100 mol of total VFA) based on type of RfOM intake (acetate: R²_adj = 0.85, RMSE = 2.2; propionate: R²_adj = 0.76, RMSE = 2.2; butyrate: R²_adj = 0.76, RMSE = 1.09), and to predict the NPA (mmol · h^–1 · kg of BW^–1) of glucose based on the starch digested in the small intestine independent of ruminant species, and while presenting no interfering factors on the residuals and individual slopes. The model predicting the NPA (mmol · h^–1 · kg of BW^–1) of BHBA based on the amount of RfOM intake (R²_adj = 0.91; RMSE = 0.036) was species-dependent, and the model predicting NPA (mmol · h^–1 · kg of BW^–1) of lactate based on starch digested in the rumen (R²_adj = 0.77; RMSE = 0.042) presented a wide dispersion. However, the NPA (mmol · h^–1 · kg of BW^–1) of BHBA was related to the NPA of both butyrate (R²_adj = 0.85; RMSE = 0.054) and acetate (R²_adj = 0.85; RMSE = 0.052), and the NPA (mmol · h^–1 · kg of BW ^–1) of lactate was related to the NPA of propionate (R²_adj = 0.51; RMSE = 0.096). This research showed that it is possible to accurately predict the amount and nature of absorbed nutrient fluxes based on dietary characteristics in both sheep and cattle. This work aims to quantify the consequences of digestion and portal-drained viscera metabolism on nutrient availability. These results can provide deeper insight into biological processes and help develop improved tools for dietary formulation.

Key Words: diet composition • energy • intake level • meta-analyses • portal-drained viscera • ruminant