Effects of corn replacement by sorghum in diets on performance, nutrient utilization, blood parameters, antioxidant status, and meat colour stability in lambs
Bibliographic record
Abstract
The aim of this research was to compare growth performance, nutrient utilization, rumen fermentation, blood parameters, antioxidant status, and meat colour stability of lambs fed diets that partially or completely substituted corn with sorghum. Twenty-four male German merino weaned lambs (16.19 ± 2.05 kg body weight) were divided into four treatments in a completely randomized design. The diets for four treatments contained 450 g kg−1 of ground corn (C), 300 + 150 g kg−1 of ground corn and sorghum (CSM1), 150 + 300 g kg−1 of ground corn and sorghum (CSM2) and 450 g kg−1 ground sorghum (S); all diets consisted of 70% concentrated feed and 30% Leymus chinensis hay. The lambs were fed the experimental diets for 56 d. Inclusion of sorghum tended to increase average daily weight gain and total gain (P = 0.06), and lower feed conversion ratio (P = 0.10). Significant increase in nitrogen (N) intake and fecal N excretion was observed after substitution of corn with sorghum, and the apparent digestibility of crude protein was significantly reduced. Concentrations of ammonia N in rumen fluid were affected by treatment (P = 0.01) and an interaction (P < 0.01) between treatment and sampling time. No significant effects were found on blood parameters among treatments. Replacement of corn with sorghum significantly decreased b* (yellowness) values of meat during storage. Sorghum instead of corn is feasible in lamb diets, and it has positive effects on the lamb growth and meat 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 | 0.001 |
| 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".