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Record W2160992732 · doi:10.3168/jds.2012-6415

Effect of early exposure to mixed rations differing in forage particle size on feed sorting of dairy calves

2013· article· en· W2160992732 on OpenAlexafffund
E.K. Miller-Cushon, C. Montoro, À. Bach, T.J. DeVries

Bibliographic record

VenueJournal of Dairy Science · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Guelph
FundersMinistry of Agriculture, Food and Rural AffairsNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural AffairsUniversity of GuelphAgResearch
KeywordsDry matterHayForageAnimal scienceAlfalfa hayNutrientStarterWeaningBiologyChemistryFood scienceRumenAgronomyEcology

Abstract

fetched live from OpenAlex

Feed sorting of dairy cattle is influenced by dietary forage particle size. The objective of this study was to determine the effect of early exposure to rations differing in forage particle size on development of feed sorting in dairy calves. Twenty Holstein bull calves were exposed for 8 wk to 1 of 2 mixed rations containing (on a dry-matter basis) 90% crumb starter concentrate and either (1) 10% coarsely chopped (3- to 4-cm) grass hay (CRS; n=10) or (2) 10% finely ground (2-mm) grass hay (FN; n=10), both offered ad libitum. Calves received 8L of milk replacer/d (1.2 kg of dry matter/d), with the amount progressively reduced after 5 wk, to facilitate weaning by the end of wk 7. At the beginning of wk 9, all calves received the CRS diet and were followed for 3 wk. Intake was recorded daily and calves were weighed twice per week. Samples of fresh feed and orts were taken on d 1 to 4 of wk 9 and 11 for analysis of feed sorting. Sorting of the ration was assessed through analysis of nutrient intake. Actual intake of each nutrient was expressed as a percentage of predicted intake of that nutrient, based on the concentration in the fresh sample. Daily dry matter intake (DMI) was similar between treatments after transition to the common CRS ration (3.20 kg/d, standard error=0.25 kg/d). However, feed efficiency was subject to a treatment-by-week interaction, with calves previously fed the FN diet having an initially greater gain-to-feed ratio than those fed the CRS diet [in wk 9, 0.60 vs. 0.47 kg of average daily gain (ADG)/kg of DMI] and similar feed efficiency in the following weeks (in wk 10, 0.43 vs. 0.43 kg of ADG/kg of DMI). A corresponding tendency was observed for ADG and body weight to evolve differently, depending on treatment, with calves previously fed the FN diet having greater ADG initially (in wk 9, 1.60 vs. 1.32 kg/d) but similar ADG to those fed the CRS diet in the following weeks (in wk 10, 1.39 vs. 1.33 kg/d and in wk 11, 1.32 vs. 1.31 kg/d). Calves previously fed the FN diet consumed less neutral detergent fiber as a percentage of predicted intake and tended to consume less acid detergent fiber and more nonfiber carbohydrates, as a percentage of predicted intakes, than calves previously fed the CRS diet. Given the nutrient compositions of hay and concentrate, this indicates that calves previously fed the FN diet were sorting for concentrate. These results indicate that the pattern and extent of feed sorting may be affected by early experience with rations differing in forage particle size.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.255
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations32
Published2013
Admission routes2
Has abstractyes

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