Performance and carcass characteristics of growing-finishing pigs fed diets containing graded levels of canaryseed
Bibliographic record
Abstract
This study was conducted to determine the performance and carcass characteristics of growing-finishing pigs fed diets containing graded levels of canaryseed. Sixty-four crossbred pigs (Pig Improvement Canada Ltd) weighing 34.4 ± 2.8 kg were assigned on the basis of sex, weight and litter to one of five dietary treatments in a factorial (5 treatments × 2 sexes) arrangement. A barley and soybean meal diet served as the control. The remaining pigs were fed diets in which approximately 25, 50, 75 or 100% of the barley was replaced by canaryseed (cv. Elias). There was a linear (P = 0.01) decrease in dry matter digestibility with increasing level of canaryseed. In contrast, crude protein digestibility showed a linear increase (P = 0.01) with increasing level of canaryseed. Gross energy digestibility of the diets did not differ (P > 0.05). Over the entire experimental period (34.4 to 107.8 kg), there was a quadratic (P = 0.01) response for weight gain. The 25% canaryseed diet supported the highest growth rate and pigs fed the 100% canaryseed diet had the lowest gain. Feed intake and feed conversion were unaffected (P > 0.05) by level of canaryseed. There were no differences (P > 0.05) in carcass weight, carcass value index, estimated lean yield, loin fat depth or loin lean depth as a result of canaryseed inclusion. However, there was a quadratic (P = 0.02) response for dressing percentage with increasing level of canaryseed. The overall results of this experiment provide a favorable indication that canaryseed can be successfully fed to growing-finishing pigs without dramatically affecting pig performance or carcass characteristics. Therefore, in the future, the swine industry may provide an alternative to the caged bird market as an outlet for growers of canary seed to market their product. Key words: Canaryseed, swine, digestibility, growth
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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 | 0.000 | 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".