A Faunistic Description of Endemic Arthropods Associated with Sesame
Bibliographic record
Abstract
Sesame (Sesamum indicum L.) Pedaliaceae is produced mainly in developing countries where abundant and inexpensive labour is available and usually by small holders. It is cultivated for its edible seeds which is high in nutritious fatty acids. In Africa sesame has in recent years been promoted to diversify agricultural production especially in the Sahel region. It has the potential to become an important field crop in Ghana especially in the drier regions. Unavailable field data on constraints to sesame production including its insect pests may be the reason for its non-commercial cultivation in Ghana. A preliminary survey of arthropods associated with sesame, was conducted in the transitional zone of Ghana during the 2009 growing season. In order to achieve maximum natural infestation, no conscious control measure was adopted. A wide spectrum of arthropods including chewers, suckers, pollinators, scavengers and predators were found. In all 60 insect species and 11 spiders were collected and identified at least to family level. It appears that, Araneae, Coleopterans, Hemipterans, Hymenopterans, Lepidopterans and Orthopterans may be important. These arthropods recorded on sesame in Ghana have several implications for the future. This includes several scenarios where these endemic insects will prefer sesame in a host shift situation; the beneficial populations could be exploited and incorporated as field banker crops in local farming systems, sesame could be used as a trap crop or it could be adopted as an attractor for insect pollinators in tree crop plantations. The description, incidence and dynamics of these important insects and spiders of sesame are discussed.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.003 | 0.001 |
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".