Plant‐Based Diagnostic Tools for Evaluating Wheat Nitrogen Status
Why this work is in the frame
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Bibliographic record
Abstract
The nitrogen nutrition index (NNI), based on critical plant N dilution curves, was developed to determine the in‐season N status of many species including wheat ( Triticum aestivum L.). We assessed the relationship between wheat NNI and two simpler diagnostic tools; namely, leaf nitrogen (N L ) concentration and chlorophyll meter (CM) readings. The study was conducted at six site‐years (2004−2006) in Québec, Canada, using four to eight N fertilizer rates (0−200 kg N ha −1 ). Leaf N concentrations and CM readings were determined from the uppermost collared leaf during the growing season along with NNI determinations. Generally, NNI, N L concentrations, and CM readings increased with increasing N rates. Leaf N concentrations and CM readings were significantly related to NNI during the growing season. Normalization of the CM values, relative to high N plots (relative chlorophyll meter [RCM] readings), improved the relationship with NNI by reducing site‐year differences. However, variation among sampling dates was observed in all relationships. By restricting the sampling dates to essentially the elongation stage, the relationship between NNI and N L (NNI = −0.43 + 0.035 N L ; R 2 = 0.52), CM (NNI = −0.64 + 0.039 CM; R 2 = 0.68), or RCM (NNI = −1.31 + 2.45 RCM; R 2 = 0.82) was generally improved. Nitrogen concentration, CM reading, or RCM reading of the uppermost collared leaf, preferably at the elongation stage, can therefore be used to assess the nutritional status of spring wheat.
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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 | 0.004 |
| 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 | 0.000 | 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 it