Seed quality response of soybean to weed control timing using glyphosate
Bibliographic record
Abstract
Field and laboratory studies were conducted during 1997 and 1998 in the southeast United States to determine the influence of timing of glyphosate application on seed germination (standard germination and germination index) and vigor (cold test emergence, accelerated aged emergence, and seed conductivity) of three glyphosate-resistant soybean [Glycine max (L.) Merr.] cultivars that belong to different maturity groups (MG). The soybean cultivars used were H4994 (MG IV — early maturing), H5164 (MG V — medium maturing) and H6686 (MG VI — late maturing). Weeds were controlled by glyphosate applied at 1.1 kg a.i. ha-1 at 2, 3, 4, 5, 6, or 7 wk after soybean emergence (WAE). Using glyphosate to control weeds at 5 WAE or later in the early- and medium-maturing cultivars (H4994 and H5164) results in soybean plants able to produce seeds with more vigor and germinability than when weeds are removed earlier. For late-maturing cultivar H6686, weed control at 4 WAE produces seeds with higher germination and vigor than when weeds are removed later. Key words: Glyphosate, weed control timing, soybean, seed germination and vigor, weed dry weight
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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".