Impact of Fall Armyworm (Lepidoptera: Noctuidae) in the Performance of Corn Crops Associated to Insecticides in Lowland Environment
Bibliographic record
Abstract
Brazil, in lowland environment, corn has the potential for crop rotation with irrigated rice to minimizing infestations of red rice. The use of resistant cultivars associated to the use of insecticides are the main methods of control of the fall armyworm, Spodoptera frugiperda (Smith, 1797) (Lepidoptera: Noctuidae). However, there are lack of field studies that assess the crop’s production chain. The objective of this study was to evaluate the performance of corn cultivar, the conventional AG 9045 and the isogenic AG 9045 PRO2 Bt on the control of S. frugiperda, as well as to analyze the cost of production in the lowland environment. The cultivars were sown in the 2014/2015 and 2015/2016 harvests with adopted spacing of 0.7 meters and length of 5 meters. The application of insecticides was performed when the index of 10% of plants attacked by S. frugiperda was reached. Percentage (%) of attacked plants, corn productivity (kg ha-1) and cost of production (US$ ha-1) were evaluated. In the final analysis, the AG 9045 PRO2 isogenic Bt in conjunction to the chlorfenapyr + zeta-cypermethrin treatment show better efficiency on the control of S. frugiperda caterpillars, by a combination of two different control methods and active principles in the control of S. frugiperda, higher productivity indexes (3,155.58 kg ha-1) and profitability (-112.08 US$ ha-1).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 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".