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Record W7027318553

Characterization, prevalence, and risk factors of breast myopathies (spaghetti meat, woody breast, white striping) in broiler chickens from Ontario, Canada

2022· dissertation· en· W7027318553 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2022
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsBroilerOdds ratioTranscriptomeFlockMuscle tissueOdds
DOInot available

Abstract

fetched live from OpenAlex

Spaghetti meat (SM), woody breast (WB), and white striping (WS) are myopathies that affect the pectoral muscle of fast-growing broiler chickens. Although reported in numerous countries with intensive poultry production, no studies have characterized these myopathies in Canada. By obtaining samples from two large processing plants in Ontario, the objectives of this thesis were to 1) determine the prevalence of and identify the risk factors associated with SM, WB, and WS in Ontario broilers; 2) characterize the morphological changes associated with breast myopathies by evaluating the macroscopic and histological features of affected fillets; and 3) evaluate the transcriptomic profiles of normal and SM- or WB-affected fillets using RNA sequencing and droplet digital PCR. \nThe prevalence of SM, severe WB, and mild or moderate WS was 36.3%, 11.8%, and 96.0%, respectively (n = 9,250). Most (85.1%) of the fillets presented with multiple myopathies. Regression analyses showed that the odds of SM increased with live weight and higher environmental temperature during the grow-out period. The odds of WB increased with live weight and flock mortality rate during grow-out. Macroscopically, the odds of SM and severe WB were significantly associated with increased fillet thickness and weight. Histologically, myopathies had overlapping lesions consisting of polyphasic myodegeneration, perivascular inflammatory cuffing, and endomysial accumulation of fibrous tissue and fat. Transcriptomic analysis showed that there were no differences between normal and SM fillets, while the transcriptomic profile of WB fillets significantly differed from both normal and SM. Most of the differentially expressed genes in WB fillets were involved with the extracellular environment and immune response. \nTaken together, our results show that the macroscopic and microscopic features of SM, WB and WS in our cohort were similar to those has been reported from other countries. These myopathies were highly prevalent in Ontario broilers, suggesting a significant economic impact on the Canadian poultry industry. While WS was present in most fillets, risk factor analysis showed that heavier broilers had an increased risk of both SM and severe WB. Lastly, lack of significant differences in expressed genes between normal and SM fillets suggests that SM may not be caused by factors intrinsic to the broiler breast muscle, but rather could be caused by mechanical disruption after slaughter.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.169
Teacher spread0.162 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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