Bio-diversity and Seasonal Activity of Arthropod Fauna in Brassicaceous Crop Ecosystems of Meghalaya, North East India
Bibliographic record
Abstract
Biodiversity of arthropod fauna was assessed in brassicaceous ecosystems of Meghalaya during 2010-12. Three species of aphids viz., Liphaphis erysimi , Brevicoryne brassicae and Myzus persicae and large white cabbage butterfly ( Pieris brassicae ) were found to be a major pests of brassicaceous plants in this region; while pentatomid bugs ( Nazara viridula ), flea beetle ( Phylletreta cruciferae ), leaf beetle ( Monolepta signata ), saw fly ( Athalia lugens proxima ) and small white cabbage butterfly ( Pieris repae ) were appeared to be a minor pests. Natural enemies, especially, predators of aphid viz., coccinellid beetles, syrphids flies and spiders were recorded in this ecosystem. Parasitoids include nymphal-adult parasitoid of aphids, Diaeretiella repae , larval parasitoids of cabbage butterfly, Hyposoter ebeninus and Cotesia glomerata . Besides, activities of several pollinators were also observed during flowering stage. Major predators of aphids were Coccinella septumpuncata complex and C. transvarsalis complex. This study also recorded a seasonal activity of above mentioned pests and natural enemies and it would certainly be useful in understanding the biodiversity and role of different tropic levels in this ecosystem.
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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 | 0.001 | 0.001 |
| 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".