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Published on: September 7, 2015
Characterization of individual beef cattle water intake
Nathan E Blake1,2, K E ArunKumar1,2, Matthew Walker2,3,4
1School of Agriculture and Food Systems, Davis College of Agriculture and Natural Resources, West Virginia University, Morgantown, WV 26506, United States.
Beef cattle water intake varies significantly by class, breed, and environment. Current models need updating to reflect these factors for sustainable beef production.
Area of Science:
- Animal Science
- Agricultural Engineering
- Environmental Science
Background:
- Current beef cattle water intake (WI) models are based on limited, outdated data.
- Factors like animal class, breed, production system, and environment significantly influence WI.
- There is a need for more comprehensive data to develop accurate WI prediction models.
Purpose of the Study:
- To analyze a large dataset of beef cattle WI, dry matter intake (DMI), and body weight (BW).
- To identify key factors influencing WI in different cattle populations and environments.
- To challenge existing WI recommendations and advocate for updated, context-sensitive models.
Main Methods:
- Analysis of over 130,000 daily records from 10 beef cattle breeds.
- Inclusion of data from both grazing and drylot production systems over five years.
- Statistical analysis to determine the significance of animal class, breed, production system, and temperature-humidity index (THI) on WI.
Main Results:
- WI significantly varied by animal class (bulls, heifers, steers) and breed (Red Angus, Limousin).
- Drylot cattle consumed more water than grazing cattle, and WI increased with higher heat load (THI ≥ 90).
- Relationships between WI and BW or DMI were weak (R² = 0.06), indicating limited predictive power of these factors alone.
Conclusions:
- Existing beef cattle WI models, such as NASEM 2016, may not accurately reflect real-world consumption patterns.
- Individualized and context-specific models are necessary for precise WI estimation.
- Findings support advancements in water-efficient selection, climate resilience, and sustainable beef production.
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