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Record W4406142039 · doi:10.3168/jds.2024-25617

The association of lung consolidation and respiratory pathogens identified at weaning on the growth performance of beef-on-dairy calves

2025· article· en· W4406142039 on OpenAlexaff
Ingrid Lara Bordin Fernandes, Allison Welk, D.L. Renaud, Donald C. Sockett, T. L. Felix, M.C. Cantor

Bibliographic record

VenueJournal of Dairy Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEffects of Environmental Stressors on Livestock
Canadian institutionsUniversity of Guelph
FundersNational Institute of Food and AgriculturePennsylvania State University
KeywordsWeaningBovine respiratory diseaseAnimal scienceBiologyBeef cattleRespiratory systemLungDairy cattleMedicineImmunologyInternal medicineAnatomy

Abstract

fetched live from OpenAlex

This observational study evaluated the relationship between lung consolidation (LC) observed at weaning and calf ADG, and the association of pathogen shedding at weaning on ADG in beef × dairy calves up to 238 d.Beef × Holstein calves (n = 143) were sourced from 2 dairies.Calves were managed in 3 cohorts and fed milk replacer and calf starter before weaning.Calves were transported to another facility after weaning and raised in one group, where they were fed calf starter with oat hay and transitioned to a corn silage-based TMR diet.Calf ADG was calculated from arrival to weaning at 61 ± 14 d (period 1), from weaning to 83 ± 21 d (period 2), and from 83 d to 238 ± 21 d (period 3).Thoracic ultrasonography (TUS) was performed at weaning to evaluate if a calf had LC (characterized as TUS+ if ≥1 cm 2 in one lobe) and to categorize the degree of LC found (none [TUS-], 1-2 cm 2 , or = 3 cm 2 ).Nasopharyngeal swabs were taken from the TUS+ calves and from pair-matched TUS-calves (n = 35 pairs) for pathogen identification by culture at a diagnostic laboratory.A mixed linear regression model assessed the association of LC with calf ADG with LC, period, period × LC, and sire breed as fixed effects; arrival weight as a covariate; and calf nested within the cohort as a random effect.Another mixed linear regression model assessed the association of pathogen shedding with calf ADG from weaning to 238 d with period and sire breed as fixed effects, and pair was nested within cohort as a random effect.A logistic regression model was used to evaluate the likelihood of TUS+ calves shedding a pathogen with pair as a fixed effect.We found an LC × period interaction affecting ADG over period 2 where TUS-calves had increased ADG (1.18 ± 0.02 kg/d) compared with calves with LC = 3 cm 2 (1.03 ± 0.04 kg/d).However, TUS-calves had similar ADG to calves with LC = 1 to 2 cm 2 in period 2. Calf ADG was not associated with LC in period 3, and calves weighed 324 ± 37 kg (mean ± SD) at 238 d.In addition, 57% (20/35) of TUS+ calves and 26% (9/35) of TUS-calves shed Pasteurella multocida.We found no association of pathogen shedding with calf ADG, but TUS+ calves were more likely to shed a pathogen.These findings suggest that calves with pneumonia experienced poor growth up to 20 d postweaning, but compensatory gain occurred by 238 d.Furthermore, P. multocida was not associated with growth performance up to 238 d in beef × dairy calves.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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

Citations8
Published2025
Admission routes1
Has abstractyes

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