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Record W3110411708 · doi:10.1093/jas/skaa054.407

PSIII-10 The association of genes involved in mitochondrial function with growth, size, and feed efficiency traits in developing beef heifers

2020· article· en· W3110411708 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

VenueJournal of Animal Science · 2020
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBiologyAnimal sciencePPARGC1ABeef cattleAlleleInbreedingOryxWeaningGeneticsGeneDemographyPopulation

Abstract

fetched live from OpenAlex

Abstract The objective was to determine if genetic markers related to mitochondrial function are associated with growth and feed intake of Bos taurus heifers fed forage-based diets. Weight data collected at birth, weaning, and as yearlings were available on 373 heifers. As yearlings, feed intake was measured using an Insentec system. Primary ancestral breeds of heifers included 204 British, 66 Continental European, 68 American Aberdeen, 29 British mix, and 6 American Aberdeen mix. Traits included DMI, ADG, G:F, adjusted birth weight (BWT), adjusted 205 weaning weight (WW), and average of start and end feed trial weight (FWT) and body volume (VOL). Heifers were genotyped using Neogen GGP150HD for beef cattle. Markers (n=56) were extracted if located within or flanking AMPK, PPARGC1A, FGF2, and SIRT1 or on mitochondrial DNA using ARS-UCD1.2 coordinates. After quality checks (minor allele frequency and call rate), 44 markers remained. No mitochondrial markers passed quality checks. For each trait, each marker was fit independently as a fixed effect in a model including year and group based on frame score (n=4), ancestry (n=5), and dam age (n=4; non-adjusted traits only). Pairwise comparisons were done using Tukey-Kramer method. No markers within FGF2 or SIRT1 had significant associations. Two markers were found significant for PPARGC1A, where Hapmap24121-BTC-039009 (P=0.0344) showed the C allele increased DMI. For weight traits, significant markers surrounding AMPK and within PPARGC1A (n=5; 0.0009≤P≤ 0.0468) identified dominance gene actions that indicate certain variants of the AMPK and PPARGC1A increased weight across time-points. For VOL, 16 of 22 markers within PPARGC1A were significant (0.0068≤P≤0.0467). Of the 16 markers, 14 identified a recessive variant that increased volume, but did not translate to increased weight. Further research is needed to better understand the roles that genetic markers for AMPK and PPARGC1A have on tissue level mitochondrial function and energy metabolism.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
Threshold uncertainty score0.188

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.241
Teacher spread0.227 · 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