Autumnal Cultivation of Energetic Plants in Agroecological No-tillage System in Southern Brazil
Bibliographic record
Abstract
Cropping energetic plants could provide soil protection, additional incomes to farmers and suppress weed development without loss of food production. It also contributes to the development of no-tillage cultivation in agroecological farming system. Energetic plants such as: sunflower, crambe, canola and safflower were evaluated in no-tillage agroecological farming in autumnal planting, after soybean crop. Higher plant heights were observed in sunflower, flowering [46 days after emergency (dae)] and harvest (108 dae) was first observed in crambe plants. Intermediate earliness was observed in the sunflower (61 and 136 dae, respectively). Biomass was found greater in the sunflower compared to safflower or canola. Intermediate values were obtained for crambe plants. Greater grain and oil yields were found in descending order in sunflower, crambe, canola and cartamo. Despite the drought period occurred during crop development, sunflower and crambe yields were similar or even higher to means, than yields of these same crops in conventional fields in Brazil. Sunflower and crambe were the best options to take part in succession/rotation system after soybean spring/summer crop.
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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) | 0.001 | 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".