Effect of early exposure to different feed presentations on feed sorting of dairy calves
Bibliographic record
Abstract
This study examined how early exposure to different feed presentations affects development of feed sorting in dairy calves. Twenty Holstein bull calves were exposed for the first 8 wk of life to 1 of 2 feed presentation treatments: concentrate and chopped grass hay (<2.5cm) offered ad libitum at a ratio of 7:3 as a mixture (MIX), or as separate components (COM). Calves received 8L/d of milk replacer (1.2kg of dry matter), with the amount progressively reduced after 5 wk to facilitate weaning by the end of wk 7. All calves received the MIX diet in wk 9 to 11 and, subsequently, a novel total mixed ration (TMR; containing 40.5% corn silage, 22.0% haylage, 21.5% high-moisture corn, and 16.0% protein supplement) in wk 12 to 13. Intake was recorded daily and calves were weighed twice a week. Fresh feed and orts were sampled on d 1 to 4 of wk 6, 8, 9, 11, 12, and 13 for analysis of feed sorting, which was assessed through nutrient analysis for the MIX diet and particle size analysis for the TMR. The particle separator had 3 screens (19, 8, and 1.18mm) producing long, medium, short, and fine particle fractions. Sorting of nutrients or particle fractions was calculated as the actual intake as a percentage of predicted intake; values >100% indicate sorting for, whereas values <100% indicate sorting against. Feed presentation did not affect dry matter intake or growth. Prior to weaning, all calves selected in favor of hay; MIX calves consumed more neutral detergent fiber (NDF) than predicted (103.6%) and less nonfiber carbohydrates (NFC) than predicted (92.6%), and COM calves consumed, as a percentage of dry matter intake, 40.3% hay (vs. 30% offered rate). In wk 8, calves fed COM consumed more NFC than calves fed MIX (1.0 vs. 0.95kg/d) and less NDF (0.43 vs. 0.54kg/d), indicating greater selection in favor of concentrate. However, when provided the MIX diet, calves previously fed COM did not sort, whereas calves previously fed MIX consumed more NFC intake than predicted (103.2%) and less NDF intake than predicted (97.6%). Calves previously fed MIX maintained increased sorting after transition to the novel TMR, sorting against long particles (86.5%) and for short (101.8%) and fine (101.2%) particles. These results indicate that initially providing dairy calves with solid feeds as separate components, compared with as a mixed ration, reduces the extent of feed sorting in the weeks after transition to a common ration.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".