Reduced Metribuzin Preharvest Interval on Potato Yield and Tuber Quality
Bibliographic record
Abstract
Metribuzin has a 60-d preharvest interval (PHI) in potato, which limits utility of metribuzin POST in potato. In certain years, the potato may not fully cover the area between the potato rows. This allows for late-season weed emergence and subsequent yield reduction through direct competition or harvest interference. Field experiments were conducted in 2011 at Castle Hayne, NC; Freeville, NY; Hasting, FL; and Plymouth, NC to determine the effect of a 30-d PHI on potato crop tolerance. The cultivars planted were ‘Superior' and ‘Yukon Gold' in Castle Hayne and Plymouth, ‘Castille' and Yukon Gold in Freeville, and ‘Atlantic' in Hastings. Treatments included metribuzin at 278 g ai ha −1 PRE, 30, and 60 d before harvest (DBH), and metribuzin at 556 g ha −1 at 30 and 60 DBH. Split application treatments included metribuzin at 556 g ha −1 at PRE followed by metribuzin at 556 g ha −1 30 or 60 DBH and metribuzin at 842 g ha −1 PRE followed by metribuzin at 278 g ha −1 at 30 or 60 DBH. Potato injury was ≤ 8% at all locations, and injury was transient. There were no differences observed between metribuzin rate or application date for individual potato grades or total yield. Reducing the PHI in potato to 30 d would have no effect on yield and would provide a longer period for controlling broadleaf weeds.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 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".