Metabolizable energy value of porcine meat and bone meal for broiler chickens
Bibliographic record
Abstract
Bolarinwa, O. A., Olukosi, O. A. and Adeola, O. 2012. Metabolizable energy value of porcine meat and bone meal for broiler chickens. Can. J. Anim. Sci. 92: 73–78. Ross 308 broiler chickens at 14 d post-hatch were used in a 7-d experiment to determine the metabolizable energy (ME) value of two meat and bone meal (MBM) samples. Three hundred and thirty-six broiler chickens were grouped by weight into eight blocks of seven cages with six birds per cage. The seven diets consisted of a corn-soybean meal reference diet formulated to meet the NRC (1994) requirement, and six test diets. The reference diet contained four energy sources namely corn, soybean meal, corn starch and soy oil. In the test diets, each of the two MBM samples were added to the reference diet at 30, 60 or 90 g kg−1 diet to partly replace the energy sources such that the ratio of the energy sources to one another was kept constant in all the diets. The ME and nitrogen-corrected ME (MEn) of the MBM samples were determined by the regression method in which the MBM contribution to ME, and MEn of the diets, in kilocalories, were regressed against the amount of MBM intake in grams. Gross energy of MBM1 and MBM2 were 4247 and 4697 kcal kg−1 DM, respectively. The crude protein, ash, and crude fat contents for MBM1 or MBM2 were 567 or 594, 264 or 211, and 106 or 116 g kg−1 DM. Addition of MBM linearly decreased (P<0.05) ileal nitrogen digestibility, total tract utilization of DM, energy and nitrogen as well as ME and MEn of the diets. In conclusion, the respective ME and MEn values were 2512 and 2345 kcal kg−1 DM for MBM1, and 2711 and 2127 kcal kg−1 DM for MBM2; thus MBM can be included in the diets of broiler chickens at less than 10% to provide energy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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 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".