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Record W2125800019 · doi:10.3168/jds.2013-6752

Effects of weekly regrouping of prepartum dairy cows on innate immune response and antibody concentration

2013· article· en· W2125800019 on OpenAlexaff
P.R.B. Silva, J.G.N. Moraes, L.G.D. Mendonça, A.A. Scanavez, G. Nakagawa, Michael Ballou, Bruce Walcheck, Deborah M. Haines, M.I. Endres, R.C. Chebel

Bibliographic record

VenueJournal of Dairy Science · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHaptoglobinNEFAAnimal scienceIce calvingAntibodyRespiratory burstColostrumBiologyInternal medicineImmune systemEndocrinologyGestationAndrologyOvalbuminLactationImmunologyPregnancyMedicineInsulin

Abstract

fetched live from OpenAlex

Objectives were to evaluate the effects of a stable prepartum grouping strategy on innate immune parameters, antibody concentration, and cortisol and haptoglobin concentrations of Jersey cows. Cows (253±3 d of gestation) were paired by gestation length and assigned randomly to the stable (all-in-all-out; AIAO) or traditional (TRD) treatment. In the AIAO treatment, groups of 44 cows were moved into a pen where they remained for 5 wk, whereas in the TRD treatment, approximately 10 cows were moved into a pen weekly to maintain stocking density (44 cows for 48 headlocks). Pens were identical in size and design and each pen received each treatment a total of 3 times (6 replicates; AIAO, n=259; TRD, n=308). A subgroup of cows (n=34/treatment) was selected on wk 1 of each replicate from which blood was sampled weekly from d -14 to 14 (d 0=calving) to determine polymorphonuclear leukocyte (PMNL) phagocytosis, oxidative burst, and expression of CD18 and L-selectin, hemogram, cortisol and glucose concentrations, and haptoglobin concentration. Another subgroup of cows (n=40/treatment) selected on wk 1 of each replicate was treated with chicken egg ovalbumin on d -21, -7, and 7 and had blood sampled weekly from d -21 to 21 for determination of immunoglobulin G anti-ovalbumin. All cows (n=149) had blood sampled weekly for nonesterified fatty acid (NEFA) and β-hydroxybutyrate (BHBA) concentrations from d -21 to 21. Treatment did not affect percentage of PMNL positive for phagocytosis and oxidative burst (AIAO=64.3±2.9 vs. TRD=64.3±2.9%) and intensity of phagocytosis [AIAO=2,910.82±405.99 vs. TRD=2,981.52±406.87 geometric mean fluorescence intensity (GMFI)] and oxidative burst (AIAO=7,667.99±678.29 vs. TRD=7,742.70±682.91 GMFI). Similarly, treatment did not affect the percentage of PMNL expressing CD18 (AIAO=96.3±0.7 vs. TRD=97.8±0.7%) and L-selectin (AIAO=44.1±2.8 vs. TRD=45.1±2.8%) or the intensity of expression of CD18 (AIAO=3,496.2±396.5 vs. TRD=3,598.5±396.9 GMFI) and L-selectin (AIAO=949.8±22.0 vs. TRD=940.4±22.3 GMFI). Concentration of immunoglobulin G anti-ovalbumin was not affected by treatment (AIAO=0.98±0.05 vs. TRD=0.98±0.05 OD). The percentage of leukocytes classified as granulocyte (AIAO=38.9±1.5 vs. TRD 38.2±1.5%) and the granulocyte:lymphocyte ratio (AIAO=0.75±0.04 vs. TRD=0.75±0.04) were not affected by treatment. Concentrations of cortisol (AIAO=14.95±1.73 vs. TRD=18.07±1.73 ng/mL), glucose (AIAO=57.6±1.5 vs. TRD=60.0±1.5 ng/mL), and haptoglobin (AIAO=3.09±0.48 vs. TRD=3.51±0.49 OD) were not affected by treatment. According to the current experiment, a stable prepartum grouping strategy does not improve innate immune parameters or antibody concentration compared with weekly prepartum regrouping.

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 score0.003

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 communication0.0000.000
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 head0.012
GPT teacher head0.258
Teacher spread0.245 · 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

Citations19
Published2013
Admission routes1
Has abstractyes

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