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Record W4388515746 · doi:10.1093/jas/skad281.654

PSVII-18 Applying the Marbling Window Concept to Enhance Intramuscular Fat Development in Beef Cattle

2023· article· en· W4388515746 on OpenAlexaff
Marta Maria dos Santos, Thaís Correia Costa, Walmir da Silva, Letícia Zamberlan Pistillo, Sarah E Dean, Dante V Teixeira, Cláudia Batista Sampaio, Mateus Pies Gionbelli, Lucas Lima Verardo, Pedro Veiga Rodrigues Paulino, Márcio de Souza Duarte

Bibliographic record

VenueJournal of Animal Science · 2023
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMarbled meatIntramuscular fatBeef cattleCompletely randomized designWeaningAnimal scienceAdipogenesisBiologyWeight gainAndrologyBody weightEndocrinologyAdipose tissueMedicine

Abstract

fetched live from OpenAlex

Abstract The increase in marbling deposition without increasing the overall fatness of the carcass is one of the most challenge goals in meat industry. Previous studies have suggested the nutritional interventions at the neonatal stages as a strategy to enhance the commitment of muscular mesenchymal stem cells to adipogenesis, which may contribute to enhance marbling deposition at the finishing phase. As such the objective of this study was designed the evaluate the impact nutrient supplementation during the pre-weaning stage of beef calves has on intramuscular adipogenic determination. Thirty-four female calves were assigned to two experimental treatments: Control (CON, n = 17), where calves received only a mineral mixture as a supplement; Supplemented (SUP, n = 17), where calves received an energy-protein supplement (0.5 kg·100 kg of BW-1·day-1; the same mineral mixture was used in the CON supplement). Calves were supplemented from 100 to 250 days of age. Once animals reached 250 days of age, skeletal muscle tissue samples were biopsied from the 10th and 11th rib and used for identification of mesenchymal stem cells and preadipocytes through immunofluorescence, mRNA and protein abundance of adipo-fibrogenic markers, and abundance of candidate miRNA controlling expression of adipogenic commitment. Data were analyzed considering the completely randomized design of the experiment. Heifers were randomized across paddocks, and paddocks were randomized across treatments. The PROC MIXED of SAS 9.2 was used for all analyses. The average daily gain (P = 0.08) and final body weight (P = 0.07) tended to be greater in SUP than CON calves. The number of fibro-adipogenic progenitor cells (P = 0.69) did not differ between treatments, while a greater number of intramuscular pre-adipocytes were observed in SUP than CON calves (P = 0.01). The expression of miRNA-4429 (P = 0.20) did not differ between treatments, while the expression of miRNA-129-5p (P = 0.09) and miRNA-129-2-3p (P = 0.05) tended to be greater in CON than SUP calves. Our findings demonstrate that energy-protein supplementation from 100 to 250 days of age is capable to enhance intramuscular adipogenesis in beef cattle. Moreover, our results suggest that regulation of adipogenic commitment occurs by post-transcriptional regulation through miR-129 family.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.057
GPT teacher head0.383
Teacher spread0.326 · 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
Published2023
Admission routes1
Has abstractyes

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