Post-weaning growth of cattle in northern New South Wales. 3. Carry-over effects on finishing, carcass characteristics and intramuscular fat
Bibliographic record
Abstract
The effects of prior growth on subsequent growth and body composition of cattle potentially affect the profitability of growing cattle to meet specifications based on weight and fatness. The effects of different growth rates and patterns of growth between weaning (about 230 kg) and entry to finishing (average 400 kg) on growth rate, carcass characteristics and intramuscular fat content of steers finished on pasture and in a feedlot on a predominantly grain ration to 2 liveweights (520 kg, Korean and >600 kg, Japanese) are reported here. Over a period of 4 years (1994–1997), 1095 Bos taurus steers of 4 breeds (Angus, Hereford, Murray Grey and Shorthorn), were allocated to 1 of 3 grow-out pathways from weaning until entry into finishing. The pathways were based on introduced pasture (P1), with different animal growth rates induced by strategic supplementation with a pelleted concentrate feed (P2), or a forage crop (P3) (Ayres et al . 2001; Dicker et al. 2001). In general, the mean growth rate of steers from the different growth pathways during finishing was inversely related to mean growth rate during grow-out. However, where the difference in liveweight at the end of grow-out was greater than 15 kg, increased growth rate during finishing was insufficient to permit complete catch up of liveweight by the end of finishing. There was no further compensation beyond 520 kg liveweight. Steers with better nutrition during grow-out tended to have more intramuscular fat at Japanese market weights, but lower retail meat yield. Steers finished on pasture had less fat thickness and intramuscular fat content than those finished on the grain based ration. Compared with P3 steers, there was a tendency for steers from pathways P1 and P2 to have lower intramuscular fat content in their M. longissimus at Japanesese market weights.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".