Baculovirus potential for agricultural pests management in Cuba
Bibliographic record
Abstract
Cuba has an international reputation for implementing widespread biological control of pests, and microbial biocontrol is an integral component of most pest management programs. One class of microbial pesticides however, has not been developed in Cuba, bio-insecticides based on the Baculoviridae. This class of safe and environmentally protective microbial pesticides is used ever more commonly worldwide as an alternative to chemical pesticides. The characteristics of the viruses of this family, particularly their high host specificity, safety to non-target organisms, capacity to persist in nature and create epizootics, and the economy with which they can be produced "in vivo", all make them attractive for incorporation into pest management programs along with other pesticides developed in Cuba. The mass production technology is well understood in Cuba and biofactories already exist for a number of microbial biocontrol products. In the province of Sancti Spíritus, the Plant Protection Laboratory of the Ministry of Agriculture, with the cooperation of the Institute for Sustainable Horticulture, Kwantlen Polytechnic University, are resuming the work which began in the 90´s to develop baculovirus products in support of sustainable agriculture in Cuba. This work is being carried out with the participation of young Canadian and Cuban students and professionals. The program includes research with the multicapsid nuclear polyhedrosis viruses of Spodoptera frugiperda (SfMNPV) and S. exigua (SeMNPV) and the search for native isolates of Baculovirus in Plutella xylostella, three priority pests in Cuba. In other jurisdictions they are well controlled by baculoviruses, and the expectation is that this same result is possible in Cuba.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".