Summary
This field trial developed a data-driven predictive model for individual dry matter intake and associated feed and water efficiency metrics in pasture-grazing cattle, integrating forage quality, environmental conditions, and animal characteristics. Testing across 64 yearling heifers (31 crossbred, 33 purebred) revealed significant breed-dependent variation in DMI and efficiency, with crossbred heifers averaging 7.54 kg/day DMI and purebreds averaging 9.40 kg/day DMI. The model may support optimisation of individual nutritional management and reduction of feed costs in pasture-based beef systems.
Regional applicability
The predictive modelling approach is potentially applicable to UK pasture-based beef systems, particularly those using rotational grazing. However, the model was developed in the United States and would benefit from validation across UK-specific forage types, climatic conditions, and breed populations before adoption into UK farm management protocols.
Key measures
Individual dry matter intake (kg/day), residual feed intake (kg/day), residual water intake (L/day), forage nutrient composition, pasture biomass, climatic conditions (temperature, humidity), animal body weight, breed type, and total water intake
Outcomes reported
The study developed and tested a data-driven predictive model for individual dry matter intake (DMI), residual feed intake (RFI), and residual water intake (RWI) in yearling heifers grazing on rotational pasture systems. Key outcome variables included breed-dependent variation in DMI and efficiency metrics across 64 animals over two 60-day grazing periods.
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