Development of Plants in Combination of Products Associated with the Inoculation in the Soybeans Seeds Treatment
Bibliographic record
Abstract
The purpose of this study was to evaluate the effect of different combinations of products applied through seed treatment, associated with the inoculation, in the development of soybean plants. The experiment was conducted in a greenhouse at Federal University of Lavras (UFLA). The experimental design was a randomized complete block, with four repetitions in a factorial 4 × 11, being four soybean cultivars and 11 combinations of products associated with the inoculation in the treatment of seeds. At the stage (R1) it was evaluated: plant height, leaf area, foliar chlorophyll content, number of trifoliate leaves, dry shoot mass, dry root mass, root length, root volume, nodules total number, viable nodules total number, nodules dry mass and foliar nitrogen content. The combination of products in the treatment of seeds, do not present phytotoxic effects in the characters related to the development, except for dry matter of aerial part and root volume. The combination of products in treatment of seeds influences negatively the nodulation, especially in the treatments with presence of nematicide. The inoculation performed in isolation or combined with fungicide and insecticide (I+FI) maintains nodule levels.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".