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Author Spotlight: Improving Beef Cattle Nutrition and Production with a Focus on Feed Efficiency and Meat Quality Traits Through Advanced Biochemical and Molecular Assays
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Large variability in feeding behavior among crossbred growing cattle.

David N Kelly1,2, Roy D Sleator2, Craig P Murphy2

  • 1Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland.

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Feeding behavior traits in cattle, like eating frequency and duration, are repeatable and can predict feed intake and efficiency. These traits offer a less resource-intensive way to assess animal performance.

Keywords:
correlationdominancefeed efficiencyrepeatability

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Area of Science:

  • Animal Science
  • Agricultural Science
  • Behavioral Science

Background:

  • Understanding cattle feeding behavior is crucial for improving animal production efficiency.
  • Phenotypic relationships between feeding behavior and performance traits are not fully understood.

Purpose of the Study:

  • To define feeding behavior traits in growing crossbred cattle.
  • To investigate the inter-relationships of these traits with performance and feed efficiency.

Main Methods:

  • Collected time-series feeding behavior data, feed intake, and liveweight records from 624 cattle.
  • Calculated repeatability estimates using linear mixed models.
  • Estimated partial Spearman correlations between feeding behavior, performance, and feed efficiency traits.

Main Results:

  • Repeatability estimates for feeding events, time spent feeding, and feeding rate were 0.57, 0.36, and 0.48, respectively.
  • More efficient cattle fed less often, for shorter durations, with slower feeding rates but longer visits.
  • Feeding events and time per day explained an additional 13.4% variability in metabolizable energy intake (MEI).

Conclusions:

  • Repeatable feeding behavior traits can be measured with fewer resources.
  • These traits show potential as predictors for feed intake and efficiency in cattle.
  • Incorporating feeding behavior analysis can enhance livestock management strategies.