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Record W1990685905 · doi:10.4141/cjas07101

Growth performance and spleen and bursa weight of broilers fed yeast beta-glucan

2008· article· en· W1990685905 on OpenAlexafffundvenue
Bruce Rathgeber, K. L. Budgell, Janice MacIsaac, Muhammad Aslam Mirza, K. L. Doncaster

Bibliographic record

VenueCanadian Journal of Animal Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsNova Scotia Department of AgricultureAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaPoultry Industry Council
KeywordsVirginiamycinBroilerBursa of FabriciusFeed conversion ratioAnimal scienceBiologyCompletely randomized designSpleenBeta-glucanBody weightWeight gainAntibioticsGlucanImmunologyMicrobiologyEndocrinologyBiochemistry

Abstract

fetched live from OpenAlex

This study evaluated the efficacy of a yeast beta-glucan product (YBG) as a growth-promoting feed ingredient for broilers. Two trials were conducted with day-old chicks assigned to 24 pens (38 birds/pen) and one of three diets: no growth promotant, virginiamycin, or YBG. On days 14 and 38, two birds per pen were euthanized and the spleen and bursa of Fabricius were removed. In the first trial, body weights of birds from each treatment were the same until 38 d, when control birds were smaller (P < 0.05). In the second trial, 38-d body weights were the same for all treatments. A third trial was conducted with half the number of pens per treatment. In the third trial, controls were smaller than YBG at 38 d, but not smaller than virginiamycin. Feed conversion was not affected by diet in trials 2 and 3 but for trial 1 the control birds had poorer conversion than virginiamycin (P < 0.05), but not worse than YBG. Spleen weights were not different between treatment groups. Bursa weights decreased with age for all treatments in trials 2 and 3, but not in trial 1 for controls. These results indicate that YBG is as effective as virginiamycin in promoting growth of broiler chickens. Key words: Broiler chicken, antibiotic, yeast, beta-glucan, growth promotion

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.191
Teacher spread0.171 · 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 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

Citations27
Published2008
Admission routes3
Has abstractyes

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