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Record W4404540475 · doi:10.1080/10495398.2024.2425656

Dietary ginger ( <i>Zingiber officinale</i> ) enhances performance traits, biochemical and haematological indices of Turkey targeting mRNA gene expression

2024· article· en· W4404540475 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnimal Biotechnology · 2024
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicGinger and Zingiberaceae research
Canadian institutionsBiotechnology Research Institute
FundersPrincess Nourah Bint Abdulrahman University
KeywordsBiologyGrowth hormone receptorGrowth factorZingiber officinaleGene expressionInsulin-like growth factorGeneBiotechnologyFood scienceGrowth hormoneBiochemistryHormoneReceptorTraditional medicine

Abstract

fetched live from OpenAlex

Ginger rich in polyphenols, possesses various biomedical properties. Researchers investigated the effects of dietary ginger supplementation on turkey performance traits, biochemical parameters, haematological parameters and mRNA gene expression. Ginger root powder was administered at different doses (0, 10, 20 and 40 g/kg) to the turkeys. Notably, the 20 g/kg group exhibited improved performance traits and a higher broiler production efficiency factor (BPEF). Importantly, ginger was found to be safe for turkeys based on serum indices. Furthermore, the expression of several growth-related genes, including growth hormone receptor (GHR), insulin-like growth factor 1 (IGF-1), adenine nucleotide translocase (ANT), cyclooxygenase 3 (COX-3) and uncoupling protein 3 (UCP-3), was upregulated in the 20 g/kg enhancing their growth performance and economic efficiency in addition to keeping their health status safe. Therefore, Ginger root powder can be supplemented for turkey at a concentration of 2% as the addition of ginger powder is a long-term process.

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.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0010.002
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 head0.067
GPT teacher head0.391
Teacher spread0.324 · 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