ẢNH HƯỞNG CỦA VIỆC GIẢM PROTEIN THÔ TRONG KHẨU PHẦN TRÊN CƠ SỞ CÂN ĐỐI CÁC AXIT AMIN THIẾT YẾU DẠNG TIÊU HÓA HỒI TRÀNG TIÊU CHUẨN ĐẾN KHẢ NĂNG SINH TRƯỞNG VÀ CHẤT LƯỢNG THỊT CỦA GÀ LƯƠNG PHƯỢNG
Bibliographic record
Abstract
This study aimed to evaluate the effects of reduced crude protein (CP) level with supplementing standard ileal digestible essential amino acids (SID-EAA) on growth performance, feed efficiency and meat quality of Luong Phuong broilers. The experiment was a completely randomized design with 5 dietary treatments and 5 replicates. Total 750 Luong Phuong chickens were randomly located to one of 5 diets with reducing CP levels 1-4% compared with the standard CP diet and growth performance and meat quality were recorded accordingly. The results showed that reducing crude protein levels in the diet reduced the growth rate of chickens (P <0.05). Low protein diets did not affect the feed intake but increased feed coversation ratio (FCR) (P <0.05). However, at 1 and 2% protein reductions, the differences in both growth rate and feed conversion were not significant compared with the control group. Treatment 3 had the lowest feed cost (29,543 VND/kg), 539 VND/kg (1.792%) lower than the control group. Reducing CP at 4% (NT5) reduced breast meat ratio, increased 24h pH and increased breast meat toughness of chicken. In conclusion, the appropriate protein reduction level with SID-EAA supplement was less than 2% in the diet for Luong Phuong chicken.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".