Nitrogen Uptake and Partitioning in Stay‐Green and Leafy Maize Hybrids
Bibliographic record
Abstract
Nitrogen requirement, uptake, and remobilization patterns have been extensively studied for normal maize (Zea mays L.), but there is limited published work for the stay‐green (SG) and Leafy hybrids. Under controlled greenhouse conditions, growth, N uptake and partitioning patterns of three contrasting maize hybrids (a conventional, ‘Pioneer 3905’, one bearing the SG trait ‘Pioneer 39F06 Bt’, and one with Leafy trait ‘Maizex LF850‐RR’) were investigated. Individual plants grown in 6‐L plastic pots were subjected to five different N fertilization regimes: (i) no N supply from seeding to V8, (ii) withholding N supply after V8, (iii) withholding N supply after silking, (iv) withholding N supply from 3 wk after silking to physiological maturity, and (v) continuous N supply from emergence to physiological maturity (control). Leaf chlorophyll content, dry matter, N uptake, and accumulation in different plant parts were measured. The Leafy hybrid had a greater number of leaves and total plant dry matter while kernel yield was similar to that of the other two hybrids. There were no differences in total N uptake and partitioning among the hybrids studied across all five N treatments. The SG hybrid (Pioneer 39F06 Bt) remained green until physiological maturity only when there was a continuous N supply in the growing medium. For all hybrids, N supply was more critical before silking than after silking as limiting N supply reduced ear size, kernel yield and N uptake. Restriction of N supply from seeding to V8 caused an irreparable reduction in ear size and kernel yield (30%). Withholding N supply fromV8 to maturity reduced kernel yield by 22% and N uptake by 53%. There was no yield reduction when N was restricted from silking, or 3 wk after silking to physiological maturity. The results indicate that stay‐greenness in maize was exhibited only when there is an adequate supply of N in the growing medium and is not associated with greater N acquisition or remobilization than the conventional hybrids even with full N fertilization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".