Effects of Sheep Manure Combined With Inorganic Fertilizer on Soil and Physiological Characteristics of a Flax Variety
Bibliographic record
Abstract
Using “Ba Xuan No. 3” as the experimental material, this study established different fertilization ratios, including 112.5 kg·hm-2 of compound fertilizer (CK), 78 kg·hm-2 of compound fertilizer combined with 12 × 103 kg·hm-2 of sheep manure (T1), 18 × 103 kg·hm-2 (T2), 24 × 103 kg·hm-2 (T3), and 30 × 103 kg·hm-2 (T4). The study investigated the effects of different fertilization ratios on the dry matter and nitrogen accumulation and distribution in flax, aiming to explore fertilization measures for improving flax yield and efficiency. The results showed that the combined application of organic and inorganic fertilizers significantly increased soil organic matter, alkaline nitrogen, and available potassium, meeting the growth requirements of flax to the greatest extent. In the T4 treatment, photosynthetic parameters, chlorophyll content, and nitrogen fertilizer utilization efficiency were also higher which provided a physiological basis for stable yields after applying organic fertilizers. The T4 treatment had the highest accumulation of dry matter in the above-ground parts of flax and the highest dry matter allocation ratio of flax capsules in the mature period. Under the organic fertilizer treatment, the nitrogen nutrient accumulation in leaves during the bud stage was significantly higher than in CK, with the T4 treatment reaching the highest level. Correlation analysis revealed that the amount of nitrogen fertilizer applied was negatively correlated with nitrogen fertilizer utilization efficiency, while seed yield was positively correlated with nitrogen fertilizer utilization efficiency. The seed yield in the T4 treatment was significantly higher than conventional fertilization treatment, increasing by 8.61%. In summary, applying 78 kg·hm-2 of compound fertilizer with 30 × 103 kg·hm-2 of sheep manure significantly enhanced the accumulation of dry matter in flax and the dry matter allocation rate of flax capsules in the mature period.
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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) | 0.001 | 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 | 0.001 |
| 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".