16: The role of nutrient utilisation models in precision animal management
Bibliographic record
Abstract
Nutrient utilization models are an effective means to integrate our cumulative knowledge of nutrient utilization in animals, and to integrate nutrition with other disciplines that are required to optimize animal productivity, well-being, and the environmental impact of animal production systems. Such models are important tools for technology transfer, explore areas where knowledge is lacking, and orchestrating research efforts. During model development careful consideration should be given to its purpose and ideally, intended model users should be part of the model development team. Well-tested dynamic and stochastic nutrient utilization models are now available that allow reasonably accurate prediction of nutrient requirements as well as feed intake and performance responses to varying dietary composition when animals are managed in a relatively stress-free environment. These predictions require accurate characterization of available nutrient levels in the diet, animal performance potentials in aspects of nutrient partitioning and, in cases of predicting feed intake, an accurate characterization of the animals' environment. Given the continued improvements in the animals' genetic performance potentials, there is a continued need to characterize the animals and interactions with their environments. The quantitative representation of the impact of the animals' infectious environment and social stressors on nutrient utilization remains a challenge, especially as there are animal genotype effects on the animal's ability to deal with these stressors. In several areas there is opportunity for further model development, including the representation of the dynamics of nutrient digestion and absorption, the prediction of carcass quality and value, body fat distribution and fatty acid profiles in different fat depots, and the control of animal end product quality. Nutrient utilization models are likely to become integrated with sensors, to monitor animals and their environment, and robotics, for automated animal management including feed preparation and delivery, allowing optimization of animal management strategies in real-time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".