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Record W3093420285

Organic Berry Pomaces to Improve the Health of Broiler Chickens

2020· dissertation· en· W3093420285 on OpenAlexfundno aff
Quail Das

Bibliographic record

VenueThe Atrium (University of Guelph) · 2020
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
FundersAgriculture and Agri-Food Canada
KeywordsBerryAgricultural scienceBroilerOrganic farmingWork (physics)AgricultureCluster (spacecraft)BiotechnologyBusinessFood scienceGeographyEngineeringEnvironmental scienceBiologyHorticultureComputer science
DOInot available

Abstract

fetched live from OpenAlex

Berry pomace products possess antimicrobial properties due to their functionally bioactive molecules; however, the underlying mechanism of actions are poorly understood. This research investigates the antimicrobial activity of cranberry extracts (KCOH) and its sub-fractions against Salmonella enterica. Salmonella serovars show more sensitivity to flavonols and anthocyanin sub-fractions than KCOH. Transcriptional studies revealed that exposure of S. Enteritidis at sub-inhibitory concentrations of KCOH reduces the expression of major operon encodes structural components of Salmonella Pathogenicity Islands. While berries are beneficial in promoting human health, incorporation of such berry products in broiler chicken diets are scarce. The potential of cranberry (CP) and blueberry (BP) pomaces and their by-products as alternatives to antimicrobial growth promoters were examined on day-old male Cobb500 broilers’ growth performance and gut microbiota for a 30-day trial. In the first chicken trial (n=2800), ethanolic extracts of cranberry pomaces (COH) resulted in better performance by increasing body weight and feed efficiency (FE), while CP feeding at 1% (CP1) decreased the prevalence of necrotic enteritis (NE) and coccidiosis compared to bacitracin (BACI) treatment (P < 0.05). qPCR studies showed the immunomodulatory effects of CP by reducing the expression of proinflammatory cytokines in liver (IL-4, IFN-γ), while inducing the expression of anti-inflammatory cytokines IL-4, 13 in spleen, and IL- 10 in bursa. 16S rRNA analysis showed higher relative abundances (RA) of Clostridiales in COH and BACI fed birds, while Lactobacillaceae and ‎Bacteroidaceae were abundant in CP1 and BP1 treated birds of ceca. In the second trial, the basal diet was enriched with animal protein using a group of birds vaccinated (n=1350) and a non-vaccinated (n=1350) against coccidiosis. Overall, BACI induced the best growth performance in vaccinated group, while no effect of treatments was observed in non-vaccinated group at 10 to 20 days of age. CP1 feeding provides similar incidences of coccidiosis and NE compared to BACI in non-vaccinated birds. Metagenomic analysis revealed a significant variation among different feed treatments. Both BACI and BP supplementations led to increased RA of Enterobacteriaceae and Streptococcaceae, in the vaccinated group, while RA of Lactobacillaceae, was increased in the non-vaccinated group with the CP treatment.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.000

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 head0.016
GPT teacher head0.218
Teacher spread0.203 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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