Influence of Phosphorus, Nitrogen, and Potassium Chloride Placement and Rate on Durum Wheat Yield and Quality
Bibliographic record
Abstract
Information regarding the impact of P and KCl rate and placement in conjunction with N rate on durum wheat ( Triticum turgidum L. var. durum ) is limited in the Great Plains. Our objectives were to determine the effects of N, P, and KCl fertilizer rate and P and KCl placement on grain yield and quality of durum wheat grown on low P soils. Nine combinations of N and P fertilizer and five combinations of N, P, and KCl applied with the seed and in a side band, were compared over 3 yr at Indian Head, SK, in fields with soil P levels <9 kg ha −1 . Grain yield increased 15% as N application increased from 45 to 140 kg ha −1 . Grain yield increased by 10% as the P rate increased from 0 to 17 kg ha −1 under dry conditions in 2003, but not in 2002 and 2004. No interaction was detected between N and P for grain yield. Grain yield was unaffected by KCl application and P or KCl placement, in the high K soils included in the study. Grain protein increased from 123 to 150 g kg −1 as N fertilizer rate increased, but decreased from 140 to 136 g kg −1 as more P was applied. However, Red smudge decreased as P increased. Results from this study indicate that N application does not affect the amount of P required by durum wheat and that yield responses to P can occur in soils low in P under dry conditions.
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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".