Nitrogen Affects Leaf Expansion and Elongation Rates During Early Growth Stages of Wheat
Bibliographic record
Abstract
Nitrogen fertilization strongly influences the wheat growth particularly in N deficient soil.This study quantified the effect of N sources on emergence, growth rate, chlorophyll content, phyllochron and dry matter of wheat.Wheat (AC Barrie variety) was grown in glasshouse at the University of Bangor, Wales, UK in pots comprising five N treatments i.e., ordinary soil (0 kg N ha -1 ), 100 kg N ha -1 as nitram, compost, farmyard manure (FYM) @ 12.5 and 25 t ha -1 .Nitram N delayed seedling emergence, improved chlorophyll contents, leaf length, and plants height.Linear elongation and leaf appearance rates were greater for manure over control.Linear elongation rate decreased with appearance of leaves.Phyllochron values decreased as the number of leaves on primary tiller increased.In conclusion, the inorganic N reduced leaf numbers but increased leaf elongation rate, whereas organic source of N increased roots biomass and appearance of leaves.
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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) | 0.000 | 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 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".