Summary
This meta-analysis pooled data from the FLORA database of multi-catheterized ruminant studies to develop empirical prediction equations for nutrient absorption based on dietary characteristics and intake level. The authors derived robust models for volatile fatty acid production, glucose appearance, and secondary metabolite production that were valid for typical grazing and forage-based diets (≤30 g dry matter per kg body weight daily; <70 g concentrate per 100 g dry matter). The models offer a mechanistic foundation for nutrient-based energy feeding systems in ruminant nutrition.
Regional applicability
The meta-analytical approach draws on international data and is applicable to United Kingdom ruminant feeding systems, particularly those based on forage and pasture. The models' restriction to moderate concentrate levels and typical grazing intakes aligns well with UK grassland-based dairy and beef production, though validation on UK-specific herds and feeding regimens would strengthen local applicability.
Key measures
Net portal appearance (mmol/h per kg body weight) of total volatile fatty acids, individual VFA profiles (acetate, propionate, butyrate mol/100 mol), glucose, β-hydroxybutyrate, and lactate; adjusted R², residual mean square error; ruminally fermented organic matter intake; starch digestion in small intestine and rumen
Outcomes reported
The study developed and validated predictive equations for net portal appearance of volatile fatty acids, glucose, β-hydroxybutyrate, and lactate in ruminants based on dietary characteristics and intake level. Models explained 76–95% of variance in nutrient absorption across multiple ruminant studies.
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