Biomass partitioning in corn as affected by reduced red-to-far-red light during the critical period of weed control
Bibliographic record
Abstract
Early-season weed control is essential to prevent yield loss in corn not only because of direct competition for resources, but also because weeds change the light quality environment of developing corn seedlings. Field experiments were conducted from 2003 to 2005 at the Arkell Research Station, Guelph, Ontario. Corn was grown hydroponically at a density of 40 000 plants ha-1. Weeds were present from corn emergence until 4, 6, 8 and 10 leaf tips and silking. Root:shoot decreased, root and shoot (leaf) dry weights decreased, rate of leaf appearance was delayed, and height increased relative to the weed-free control in the corn sampled prior to silking. As well, stem and ear weights were decreased at silking. These responses were typical of shade avoidance responses and show that low R:FR due to the presence of weeds during the critical period of weed control is detrimental to the growth and development of corn.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".