Effects of rumen-protected methionine supplementation on growth performance, nitrogen balance, carcass characteristics, and meat quality of lambs fed diets containing buckwheat straw
Bibliographic record
Abstract
This study was conducted to determine the effects of rumen-protected methionine (RPM) supplementation on growth performance, nitrogen (N) balance, carcass traits, and meat quality of lambs fed diets containing buckwheat straw. Twenty male Tan lambs from Ningxia were housed in individual pens and were randomly assigned to five dietary treatments that were supplemented with RPM at levels of 0 (control), 1.5 (T1), 3.0 (T2), 4.5 (T3), and 6.0 g d−1 (T4). Dry matter intake was higher in T4 than control (P < 0.05). The feed:gain ratio generally reduced with increasing dietary RPM, but the lowest ratio was found in T3 (P < 0.05). Dry matter digestibility and N retention were highest in T3 (P < 0.05) while N excretion was the lowest. Carcass fat weight and grid reference tissue depth increased while drip loss decreased by supplemental RPM, and significant differences were found between T4 and control (P < 0.05). However, pH, color, cooking loss, and shear force were not affected. The results from this study demonstrated that dietary RPM supplementation may be able to improve the feed efficiency, N utilization, and meat quality of lambs; however, the optimal dose of RPM needs to be explored further.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".