Wheat Grain Nitrogen Uptake, as Affected by Soil Total and Mineral Nitrogen, for the Determination of Optimum Nitrogen Fertilizer Rates for Wheat Production
Bibliographic record
Abstract
Determination of appropriate nitrogen (N) fertilization for wheat (Triticum aestivum L.) production with respect to the available resources can result in the enhanced efficiency of agricultural systems and ecosystem health. Hence, a 3-year field experiment was conducted to determine (1) the effects of soil total N and soil mineral N (including nitrate, NO3-N, and ammonium, NH4-N) measured at seeding and postseeding for wet and dry soil samples at 0- to-30 cm and 0- to 60-cm depths on wheat grain N uptake and (2) the regression equations that can best explain the variation in wheat grain N uptake by N fertilizer and soil total and mineral N. Determination of wheat grain N uptake as affected by soil NO3-N in areas with reasonable amounts of organic matter can also be used as a very useful tool for determination of appropriate N fertilization, which is of great agricultural and environmental implications.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".