Rice (Oryza sativa L.) yield and potassium use efficiency as affected by potassium fertilizer sources
Bibliographic record
Abstract
Enhancing potassium use efficiency (KUE) is vital for sustainable rice production. In a pot experiment, T1 (Canada origin) significantly outperformed T2 (Morocco origin) in grain yield for BRRI dhan 61 (7205 kg ha-1), BRRI dhan 68 (6050 kg ha-1), and BRRI dhan 28 (4227.3 kg ha-1). BRRI 61 exhibited superior filled grain and 1000 grain weight under T1. In T1-treated soil, BRRI 61 recorded the highest grain K uptake (63.56 kg ha-1), surpassing BRRI 68 and BRRI 28. With T1, BRRI 61 demonstrated 1.24 and 2.70 times greater agronomic efficiency than BRRI 68 and BRRI 28, respectively, along with a crop recovery efficiency of 0.42. T1 treatment improved agronomic traits across varieties. Recommending T1 fertilizer for BRRI 61 is suggested to optimize yield, K uptake, and use efficiency, emphasizing its potential for sustainable rice cultivation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".