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Record W2464797940 · doi:10.2527/jas.2015-0195

Technical note: Impact of a molasses-based liquid feed supplement on the feed sorting behavior and growth of grain-fed veal calves1

2016· article· en· W2464797940 on OpenAlexaff
L. J. Gordon, T.J. DeVries

Bibliographic record

VenueJournal of Animal Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAnimal scienceBiologyFood scienceChemistry

Abstract

fetched live from OpenAlex

This study was designed to determine the effect of adding a molasses-based liquid feed (LF) supplement to a high-grain mixed ration on the feed sorting behavior and growth of grain-fed veal calves. Twenty-four Holstein bull veal calves (90.2 ± 2.6 d of age, weighing 137.5 ± 16.9 kg) were split into groups of 4 and exposed, in a crossover design with 35-d periods, to each of 2 treatment diets: 1) control diet (76.0% high-moisture corn, 19.0% protein supplement, and 5.0% alfalfa/grass haylage) and 2) LF diet (68.4% corn, 17.1% protein supplement, 9.0% molasses-based LF, and 4.5% alfalfa/grass haylage). Diets were designed to support 1.5 kg/d of growth. Data were collected for the final 3 wk of each treatment period. Feed intakes were recorded daily and calves were weighed 2 times/wk. Feed samples of fresh feed and refusals were collected 3 times/wk for particle size analysis. The particle size separator had 3 screens (19, 8, and 1.18 mm) and a bottom pan, resulting in 4 fractions (long, medium, short, and fine). Sorting was calculated as the actual intake of each fraction expressed as a percent of its predicted intake. Calves tended ( = 0.08) to sort for long particles on the control diet (110.5%) and did not sort these particles on the LF diet (96.8%). Sorting for medium particles (102.6%) was similar ( = 0.9) across diets. Calves sorted against short particles on the LF diet (97.5%; = 0.04) but did not sort this fraction on the control diet (99.4%). Calves sorted against fine particles (79.3%) to a similar extent ( = 0.2) on both diets. Dry matter intake was similar across diets (6.1 kg/d; = 0.9), but day-to-day variability in DMI was greater (0.5 vs. 0.4 kg/d; = 0.04) when calves were fed the control compared with the LF diet. Calves on both diets had similar ADG (1.6 kg/d; = 0.8) as well as within-pen variability in ADG (0.4 kg/d; = 0.7). The feed-to-gain ratio was also similar between control and LF diets (4.3 vs. 3.9 kg DM/kg gain; = 0.4). The results suggest that supplementation of a molasses-based LF to high-grain fattening veal calf diets can reduce variability in feed consumption, both within and across days.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.304
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2016
Admission routes1
Has abstractyes

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