Modeling Standardized Ileal Digestible Lysine to Calorie Ratio in 27- to 260-lb Genesus Finishing Pigs
Bibliographic record
Abstract
The first of two objectives of this study was to determine standardized ileal digestible (SID) Lys to calorie ratio (SID Lys:NE) for optimal performance of Genesus (Oakville, Manitoba, Canada) pigs from 27 to 260 lb. A second objective was to build a calculator tool to help nutritionists and producers when formulating diets with Genesus pigs. A total of 4,485 late nursery and 5,200 grow-finishing mixed-gender pigs were used in 4 and 5 studies, respectively. Studies were conducted by Genesus and results of these experiments were provided to the Kansas State University Applied Swine Nutrition Team for analysis and modeling. Diets from each trial were reformulated to obtain the dietary nutrient content using the NRC 2012 ingredient library. Growth performance and diet nutrient content were used in a Microsoft Excel spreadsheet to determine grams of SID Lys intake per kilogram of gain, SID Lys:NE, and NE intake. To select the optimum Lys level from each phase of the trials, ADG and F/G were evaluated. Regression equations for SID Lys per kilogram of gain, SID Lys:NE, and NE intake were generated by using the performance at the optimum Lys values in each phase. The equation for the optimal Lys:calorie ratio is: SID Lys:NE (g/Mcal) = -0.0112195247 × Average BW (lb) + 5.3408676477. The developed equations were then used to build the calculator tool available at www.KSUswine.org. In conclusion, the results showed a quadratic response when calculating Lys intake per kilogram of gain and NE intake (kcal/d), and a linear response in the SID Lys:NE for pigs between 27 to 260 lb of BW. The calculator tool provides information about SID Lys requirements to formulate diets for maximum performance for Genesus pigs from 27 to 260 lb. Further research is needed to accurately estimate the SID Lys requirements of pigs beyond 260 lb.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".