Physiological and biochemical evaluation of peanut (Arachis hypogaea L.) varieties in Andijan, Uzbekistan
Bibliographic record
Abstract
The study investigated the physiological and biochemical characteristics of peanut (Arachis hypogaea L.) varieties cultivated in the Andijan region of Uzbekistan. Analysis results revealed that during the flowering phase, the Chinese-275 variety had the highest chlorophyll "a" content in leaves (1.66 ± 0.12 mg/g). In comparison, the Tashkent-112 variety showed the highest chlorophyll "b" content (0.63 ± 0.15 mg/g). The Chinese-275 variety also exhibited the highest carotenoid content (0.65 ± 0.04 mg/g). In the pod formation phase, the Chinese-275 variety again demonstrated the highest chlorophyll "a" content in plant leaves (2.39 ± 0.06 mg/g), the Tashkent-112 variety had the highest chlorophyll "b" content (1.49 ± 0.52 mg/g) and the Chinese-275 variety showed the highest carotenoid content (0.98 ± 0.01 mg/g). In our experiments examining the protein and fat content of peanut (Arachis hypogaea L.) seeds, the Salomat variety exhibited the highest protein content (26.704 ± 0.303 %). The highest fat content was observed in the Mumtoz variety (0.467 ± 0.002 mg/g). These findings
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 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".