Effects of pre-transport nutrient supplementation and transport duration on the post-transport blood biochemistry, bodyweight and welfare of ostriches
Bibliographic record
Abstract
Abstract There are very few abattoirs in North America that process ostriches(Struthio camelus)which means producers are forced to transport their birds over long distances (> 500 km) for processing. The objectives of this research were to investigate the effects of pre-transport nutrient supplementation and transport duration on ostrich bodyweight and blood biochemistry. A total of 45 ostriches were used in three transport trials with driving durations of 30 min (n = 10), 7 h (n = 11) and 18 h (n = 24). Birds were weighed and blood sampled (10 ml) before and after transport. There were two treatment groups in each trial: control (n = 22) and nutrient-supplemented (n = 23). Prior to transport, each bird in the nutrient-supplement group was tube-fed 1 L of liquid nutrient supplement (containing water, dextrose, protein, and electrolytes), and control birds were each tube-fed 1 L of water. The results of our study showed that birds which were shipped for 18 h lost the most bodyweight while birds transported for 7 h lost more weight than those transported for 30 min. Birds which were transported for a longer time also had higher post-transport concentrations of plasma glucose, creatine phosphokinase, aspartate aminotransferase, total protein and uric acid. Male birds which received nutrient supplement lost less weight compared to the male control birds. We concluded that under the present shipping conditions, long distance transportation is detrimental to ostrich welfare with significant loss to producers due to mortalities and shrinkage. Our results also indicated that the use of pre-transport nutrient supplementation can partially alleviate the effect of the transportation stress.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".