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Record W3044982363 · doi:10.15232/aas.2019-01972

Evaluation of long-acting implant programs for calf-fed Holsteins

2020· article· en· W3044982363 on OpenAlexaff
M.J. Quinn, Courtney Stamm, Adam L. Shreck, S. L. Parr, Calvin W. Booker, Sherry J. Hannon, Marilyn J. Corbin, Ryan D. Rademacher, M.L. May

Bibliographic record

VenueApplied Animal Science · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsAlberta Health Services
FundersZoetis
KeywordsFeedlotImplantAnimal scienceCarcass weightAnimal healthMedicineVeterinary medicineBiologyBody weightSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Our objective was to evaluate the relative efficacy of 3 implant programs on performance, carcass, and health outcomes in calf-fed Holstein steers. Holstein steers (n = 14,360; initial BW: 147 ± 4.5 kg) were allocated to CS1CH (Synovex C at arrival, Synovex One Feedlot at d 101, and Synovex Choice at d 271; Zoetis Inc., Parsippany, NJ), DS1CH (Synovex One Feedlot at d 101 and Synovex Choice at d 272), or DXSCH [Revalor-XS (Merck Animal Health, Summit, NJ) at d 101 and Synovex Choice at d 273). Steers in the CS1CH and DS1CH groups had greater ADG compared with those in DXSCH. Steers in the DS1CH group also had improved G:F compared with CS1CH and DXSCH. Steers in the CS1CH and DS1CH groups had greater proportions of Choice and Prime and lesser proportions of YG 1 and 2 carcasses compared with DXSCH. Initial buller treatment rates were lower in the CS1CH and DS1CH groups compared with DXSCH. Overall mortality was not different between the experimental groups. Holstein steers implanted with a Synovex One Feedlot implant had greater G:F and improved QG distribution compared with steers given a Revalor-XS implant, when both were administered at 101 d on feed. Including a low-dose implant at arrival did not improve performance and was detrimental to feed conversion and buller rates. These results demonstrate that the payout pattern of long-acting implants affects performance, carcass characteristics, and health of Holstein steers.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.288

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 studies0.0000.000
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 head0.054
GPT teacher head0.304
Teacher spread0.250 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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