Exploring Feed Efficiency in Beef Cattle: From Data Collection to Genetic and Nutritional Modeling.
Ayooluwa O Ojo1, Henrique A Mulim1, Gabriel S Campos1,2
1Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.
Animals : an Open Access Journal From MDPI
|January 8, 2025
Summary
Improving beef cattle feed efficiency is vital for sustainability. Modern genetic and nutritional strategies, alongside precise data collection, offer a roadmap to reduce costs and environmental impact.
Area of Science:
- Animal Science
- Agricultural Economics
- Genetics
Background:
- Increasing global beef demand necessitates enhanced feed efficiency in cattle.
- Rising feed costs and environmental concerns pose significant challenges to sustainable beef production.
- Current limitations in feed intake recording and integrated genomic-nutritional models impede progress.
Purpose of the Study:
- To review advancements in feed efficiency measurement and genetic/nutritional strategies for beef cattle.
- To explore the synergy between genomic selection, nutritional modeling, and data collection for optimized beef production.
- To provide a roadmap for cost reduction and sustainability in the beef industry.
Main Methods:
- Review of technological advancements in individual feed intake and efficiency measurement.
- Exploration of genomic selection principles and multi-population data integration for improved prediction accuracy.
- Analysis of nutritional models and their synergistic application with genomic selection.
Main Results:
- Technological progress enables precise individual feed intake monitoring, benefiting research and industry.
- Genomic selection offers a powerful tool for identifying and breeding feed-efficient cattle.
- Integrating genomic data with nutritional models optimizes feed management across diverse production systems.
Conclusions:
- Combining precise data collection, genomic selection, and nutritional modeling is key to enhancing beef cattle feed efficiency.
- These integrated approaches are crucial for reducing production costs and promoting environmental sustainability in beef farming.
- The reviewed strategies provide a clear path toward a more efficient and sustainable global beef industry.
More Related Videos
Related Concept Videos
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40
Mechanistic Models: Compartment Models in Individual and Population Analysis
27
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
27
Trophic Efficiency
20.3K
Trophic level transfer efficiency (TLTE) is a measure of the total energy transfer from one trophic level to the next. Due to extensive energy loss as metabolic heat, an average of only 10% of the original energy obtained is passed on to the next level. This pattern of energy loss severely limits the possible number of trophic levels in a food chain.
20.3K


