PSIX-19 Association of the Rumen Microbiota with Carcass Merit and Beef Quality
Bibliographic record
Abstract
Abstract The microbial community in the rumen has an important role in the health and production of beef cattle providing up to 70% of the daily energy requirements from the metabolism of otherwise non-digestible dietary carbohydrates. Diet is often the largest determinant of rumen microbiome composition, but it is also affected by host age, genetics, and sex. Performance attributes such as average daily gain and feed efficiency have all been linked to the rumen microbiome and recent studies with relatively small numbers of cattle have also suggested there may be an association with certain beef quality traits such as marbling, which largely determines the carcass value. Thus, the objective of this study was to evaluate the association of the rumen microbiota with carcass merit and beef quality traits. Two hundred steers were slaughtered, and rumen samples were collected immediately post-slaughter. Subsequently, carcass merit and meat quality attributes were evaluated. The rumen microbiota of these animals was then characterized using 16S rRNA gene sequencing. Although we did not identify a significant association between marbling score and the structure of the rumen microbiota (PERMANOVA; P > 0.05), there were significant associations between rumen microbial community structure and commercial weight, dressed weight percentage, drip loss, and intramuscular fat content (P < 0.05). There were also individual bacterial taxa that were correlated with various carcass merit and beef quality traits. Members of the Acidaminococcus genus were negatively associated with both intramuscular fat content and marbling score (P < 0.10) while Coprococcus, Christensenellaceae R-7 group, Lachnospiraceae NK3A20 group, Moryella, and Prevotella were among those genera positively correlated with intramuscular fat content (P < 0.10). Christensenellaceae R-7 group, Lachnospiraceae NK3A20 group, Moryella, and Prevotella were also significantly associated with dressed weight percentage. Commercial weight was positively correlated with the genera Catonella, Prevotellaceae NK3B31 group, Pseudoramibacter, Selenomonas, and Sutterella and negatively associated with Oribacterium and Ruminococcaceae UCG-001 (P < 0.10). Therefore, bacteria within these genera may be ideal targets for future microbiome-based strategies to improve carcass merit and beef quality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".