Behaviour, growth performance and pork quality of pigs differing in porcine stress syndrome genotype receiving dietary magnesium aspartate hydrochloride
Bibliographic record
Abstract
Frequency of behavioural activities, growth performance and pork quality were determined for pigs with homozygous-normal (NN) or heterozygous-carrier (Nn) genotypes for porcine stress syndrome receiving dietary supplementation of magnesium aspartate hydrochloride (MAH). One hundred and forty-two pigs, 67.2 ± 1.2 kg, were assigned by genotype and gender to one of three dietary treatments. The pigs were fed a conventional cereal-based pelleted diet (Control), supplemented with a long-term, low-level (LL-MAH; 5 mg kg −1 BW for 43 ± 3 d) or short-term, high-level (SH-MAH; 40 mg kg −1 BW for 7 d) of MAH before slaughter. Supplementation of MAH did not significantly affect the behaviour of pigs before or after transport for slaughter with the exception of SH-MAH-fed pigs showing a higher (P < 0.05) frequency of pre-transport aggression. Pigs with the Nn genotype were, in general, more active 1 h before slaughter showing a higher frequency (P = 0.001) of aggression. Average daily gain of LL-MAH-fed pigs was higher (P < 0.05) than for those pigs fed the Control and SH-MAH diets. Pigs receiving both levels of MAH had lower (P < 0.05) longissimus thoracis (LT) muscle lean depth. In terms of pork quality, there were significant diet-by-genotype interactions. For pigs with the NN genotype, SH-MAH caused higher (P < 0.05) ultimate pH, lower muscle temperature and lower shear value of the LT. For pigs with the Nn genotype, MAH at both levels lowered (P < 0.05) glycogen content and subjective structure score of the LT, but ultimate pH, muscle temperature and lactate content were higher (P < 0.05) than those of Controls. Efficacy of MAH supplementation to pigs appears to be highly dependent on diet and genotype. Key words: Pigs, porcine stress syndrome, magnesium, pork
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".