MétaCan
Menu
Back to cohort
Record W290645370 · doi:10.17221/365-cjas

N-6 and n-3 fatty acids in different beef adipose tissues depending on the presence or absence of the gene responsible for double-muscling

2008· article· en· W290645370 on OpenAlexaff
Noelia Aldai, M. E. R. Dugan, Ana Isabel Nájera, K. Osoro

Bibliographic record

VenueCzech Journal of Animal Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsAdipose tissueIntramuscular fatPolyunsaturated fatty acidLongissimus ThoracisChemistryComposition (language)Fatty acidSubcutaneous adipose tissueInternal medicineFood scienceEndocrinologyAnimal scienceBiologyBiochemistryTenderness

Abstract

fetched live from OpenAlex

Levels of n-6 and n-3 PUFAs, including those with 20 and 22 carbon-chains, in concentrate-fed Asturiana de los Valles (AV) yearling bulls with and without the double muscling gene (mh/mh = 24, mh/+ = 26, +/+ = 25) were measured to examine if this gene influences the pattern of PUFA deposition in different adipose tissues. Fatty acid compositions of muscle tissue (longissimus thoracis) and intermuscular and subcutaneous adipose tissues were determined by gas chromatography. The composition of intramuscular fat was unique compared to the other two adipose tissues which were similar in composition. In general, n-6 and n-3 fatty acid elongation and desaturation products were affected by AV genotype and this effect was most evident in n-3 PUFAs of the intramuscular fat of mh/mh (n-6/n-3 = 11.8 and 18:2n-6/18:3n-3 = 25.3) compared to mh/+ and +/+ animals (mean values of n-6/n-3 = 9.86 and 18:2n-6/18:3n-3 = 15.5). PUFA elongation and desaturation end products did not accumulate to any great extent in intermuscular and subcutaneous adipose tissues. Beef from mh/mh cattle showed greater deposition rates of n-3 elongation and desaturation products but their absolute content of total n-3 fatty acids was lower (21 mg/100 g meat) in comparison with mh/+ and +/+ cattle (mean value of 25 mg/100 g meat).

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.124
GPT teacher head0.317
Teacher spread0.192 · 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 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

Citations13
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueCzech Journal of Animal ScienceSame topicMeat and Animal Product QualityFrench-language works237,207