79 Residual Feed Intake (RFI) Reranking in Beef Steers Fed Growing and Finishing Diets under Two Management Regimens.
Bibliographic record
Abstract
A study (factorial design) was conducted to evaluate RFI reranking between growing and finishing phases of production using two nutritional management regimens (MR). One-hundred and eight non-implanted British and Continental crossbred steers (±353 kg) were fed an alfalfa/corn silage growing diet for ~90 days. RFI classification was calculated with steers classified as high, medium, and low (RFI) based on 0.5 SD from the mean. Cattle were allocated to two MR (MR1, MR2) based on RFI, breed, and weight. MR1 cattle were finished on an 84.7% concentrate diet while MR2 cattle were backgrounded on pasture for ~112 days and subsequently finished on the high concentrate diet. Steers were slaughtered at ~750 kg BW. Carcass and meat quality data were collected, and finishing phase RFI calculated to evaluate reranking. Average daily gains (ADG, kg/d) and gain:feed (G/F) respectively included: growing (±1.28; 0.178), MR1 finishing (±1.74; 0.152) and MR2 finishing (±1.92; 0.149). ADG differed between MR (P<0.001 but not amoungst RFI class (P > 0.05), while G/F differed between MR and RFI class (P<0.05). Approximately 74% of cattle changed RFI classification between growing and finishing phases; however, MR did not affect reranking (P=0.65). The odds ratio for reranking based on MR was 0.868, which suggests there is a lower chance of reranking amongst MR. MR2 cattle did however, have a higher proportion (16.7%) of steers rerank from high to low RFI. Spearman rank correlations for RFI reranking were not related to carcass weight (kg), yield (%), lean and fat (%)(P>0.05) while positively correlated with ribeye area (cm2) (P<0.001) and quality grade (P=0.02). Ribeye area was also smaller (P<0.05) for medium RFI steers when compared to either high or low RFI classification. Ultimately, management regimen did not affect reranking of RFI classification for cattle fed a common diet in the growing phase of production.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 |
| 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".