Impact of paddy straw and Bio-decomposer with inorganic fertilizers on soil health in wheat (Triticum aestivum L.)
Bibliographic record
Abstract
The study investigated the effect of inorganic fertilizers, paddy straw (rice residue), and Halo-CRD biodecomposer on the soil health of post-harvest wheat fields in the subtropical region of Prayagraj, Uttar Pradesh during the Rabi season of 2019–20 and 2020-21. Results demonstrated the effectiveness of integrated residue management in improving soil physical, chemical and biological properties. There was a significant build-up of soil organic carbon in T7 (Rice residue treated with microbial decomposer Halo-CRD+ RDF@100%) 0.85 and 0.59% and 0.91 and 0.60% content in soil during both seasons of 2019– 20 and 2020-21. Maximum content of available N (257.26, 261.52 kg ha-1 and 249.43, 251.35 kg ha-1), available P (21.62, 22.14 kg ha-1 and 19.67, 19.85 kg ha-1) and K (219.21, 223.20 kg ha-1 and 181.38, 182.68 kg ha-1) was observed in treatment T7 during both seasons. The bacterial and fungal count ranged from 6.40 to 17.70 ×105 and 3.10 to 8.15×105 cfu g-1 dry soil, respectively. Incorporating microbial decomposers enhanced nutrient-use efficiency and soil health while reducing nutrient losses. The findings advocate integrating rice residue management with microbial decomposer Halo-CRD and balanced fertilization to enhance soil chemical, physical and biological properties, improve soil health, and mitigate residue burning’s environmental impacts.
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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 | 0.000 | 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) | 0.000 | 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".