Trace mineral concentration of forages in connection with sheep dietary requirements
Bibliographic record
Abstract
This paper describes the trace and ultra-trace mineral concentration in different forages utilized by sheep (Kajli and Fat tail) in the rangelands of Chakwal district, Punjab, Pakistan. The concentrations of Se, Mo, Zn, Mn, Cu, and Co were assessed using spectrophotometric methods after the digestion of forage samples. The dominant forage species consumed by sheep were Buxus pappillosa, Prosopis juliflora, Ficus palmata, Acacia modesta, Trichodesma indica, Olea permiginea, Lantana camara, Justicia adhatoda, Morus nigra, and Ipomoea carnea. The overall mean concentration of Co (1.27±0.24 mg/Kg of DM), Zn (35.14±1.28 mg/Kg of DM), and Cu (28.06±1.29 mg/Kg of DM) in forages were higher than the requirements for lactating ewes, while the concentration of Se was within the normal range. Molybdenum (0.030±0.004 mg/Kg of DM) and Mn (29.69±1.61 mg/Kg of DM) concentrations were lower than dietary requirements for sheep. In different administrative divisions (tehsils) like Chakwal, Talagang, Choa Saidan Shah, and Kalar Kahar of Chakwal district, the trace minerals Zn, Mn, and Co, showed non-significant variation, whereas Se, Mo, and Cu showed substantial variation. In conclusion, rangeland forages contained a sufficient concentration of most trace minerals (Co, Cu, Se, Zn) to meet the requirements of grazing sheep in the study district. However, Mn and Mo supplementation seems to be essential to maintain the optimal production capabilities of sheep in this area.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".