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Record W4414831049 · doi:10.1093/jas/skaf300.003

55 Maternal bovine appeasing substance improves feeding behavior, growth performance, feed efficiency, and health indicators in weaned feedlot heifers.

2025· article· en· W4414831049 on OpenAlexaff
Désirée Gellatly, Yaogeng Lei, Emilie Edgar, Alison Neale, Brittany Bloomfield, Brianna Elliot, Laio Silva Sobrinho, L.G. Baird, Sean Thompson

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRabbits: Nutrition, Reproduction, Health
Canadian institutionsOlds College
Fundersnot available
KeywordsFeedlotRuminationRuminatingDry matterFeed conversion ratioWhite blood cellWeight gain

Abstract

fetched live from OpenAlex

Abstract Previous studies have demonstrated that maternal bovine appeasing substance (mBAS) enhances growth while alleviating stress and illness in weaned calves. The current study builds on previous work to investigate the impact on individual metrics such as feeding intake, feeding behavior and feed efficiency. This pilot study aimed to evaluate the effects of a mBAS (FerAppease; FERA Diagnostics and Biologicals, College Station, TX) on feeding behavior, growth, feed efficiency, health and stress indicators in weaned beef cattle. Twenty-two Angus-influenced heifers (315.2 ± 30.76 kg of BW) were abruptly weaned, sampled, and randomly assigned to either a 10-mL mBAS (n = 11) or a placebo (CT; n = 11), followed by 1-hour transportation in separate trailers. Groups were then housed over 27 days (d) in two feedlot pens located 148 meters apart, with ad libitum access to water and feed. Data collection occurred at multiple sampling events: twice before treatment and immediately before transport (d 0; baseline), after transport following a 2-hour fasting period, and on d 14 and 27. On d 14, groups swapped pens in order to minimize pen effects. Behavioral assessments included dry matter intake (DMI), bunk attendance (BA) duration and frequency, feeding rate, activity, rumination and chute exit speed (ES). Physiological indicators included salivary cortisol, red blood cell (RBC), white blood cell (WBC) and neutrophil-to- lymphocyte ratio (N:L). Growth performance was evaluated using body weight (BW), shrunk BW (prior- vs. post-transportation) as well as average daily gain (ADG) and gain-to-feed ratio (G:F) for the 0-14, 14-27, and 14-27 periods. DMI, BA duration, and BA frequency were recorded daily using the Vytelle® feed bunk system, while activity and rumination were continuously monitored via an ear data logger; data was averaged weekly. A mixed-effects model (MIXED) including treatment, sampling events and their interactions were included as fixed effects; sampling events were included as repeated measures for behavioral and physiological parameters. No differences (P > 0.10) were observed for DMI, ES or salivary cortisol. Reduced (P < 0.05) BA duration in weeks 2 and 3, alongside increased (P < 0.05) BA frequency and feeding rate in week 3 were found for mBAS than CT heifers. There was a tendency for lower shrunk BW (P = 0.09) and greater (P = 0.08) ADG0-27 in mBAS than CT heifers. Greater (P < 0.05) G:F14-27, G:F0-27 and ADG14-27 were observed in mBAS compared to CT heifers. Lower (P = 0.05) N:L ratio and a tendency for reduced (P = 0.06) WBC were also found for mBAS than CT heifers. These findings suggest that mBAS at weaning enhanced adaptation to the feedlot, as evidenced by improved immune response, feeding behavior, growth, and feed efficiency, warranting further large-scale studies to confirm its efficacy under commercial conditions.

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)0.000
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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