Germination of Canadian Goldenrod(Solidago canadensis L.) Seed in Different Nutrient Media and Its Herbicidal Control
Bibliographic record
Abstract
To find out the harmfulness of weed Canadian goldenrod to farmland,a series of experiments were carried out in the lab and field.Seed germination experiment was conducted by putting seeds into four media,ammonium choloride,ammonium sulfate,urea and soil lixivium.Control efficacy of pre-germination treatment of five herbicides,prometryn,acetochlor,hexazinone,oxyfluorfen and cholrsufuron, were compared.And control efficacy of herbicides Roundup and hexazinone which were sprayed to the plants of Canadian goldenrod in the field were also recorded.Results indicated that the germination percentages of Canadian goldenrod seeds in the media of 0.05% urea and 0.20% urea were much lower than that in water(control)(P0.01 and P0.05,respectively),while no significant difference was found out between other media treatment and water.On the 30th day after pre-germination treatment,control efficacy on fresh weight of all five herbicides at different dosages was more than 97%,while efficacy on plant number in the treatment of prometryn,acetochlor,hexazinone,20 ml and 25 ml oxyfluorfen per 667 m~2,2.0 g chlorsulfuron per 667 m~2 reached 90%.After spraying herbicides on Canadian goldenrod plants for 60 d,the efficacy of Roundup and hexazinone ranged from 94.44% to 100.00%.Even after spraying for 100 d,the efficacy of hexazinone was still high at 91.11% to 98.89% at different dosages.Thus,it could be inferred that nitrogen did not favor the seed germination of Canadian goldenrod and Canadian goldenrod could not harm the farmland to a high degree due to the effective control of existing herbicides.
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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 | 0.000 |
| 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 | 0.000 | 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".