The population dynamics of the thrips species assemblage in French bean, lettuce, tomato and zucchini agro-ecosystems
Bibliographic record
Abstract
Management of insect pests is one of the most important aspects of crop agronomy in the agricultural industry. This has become increasingly sophisticated as new approaches based on a greater understanding of individual pests and their biology are developed and used in Integrated Pest Management (IPM) programs to target pest populations at critical development periods to reduce potential injury to the crop. Our understanding of Thysanoptera biology and ecology in vegetables is restricted to a few key pest species, and very little attention has been given to other thrips species that dwell within these systems. This has produced a large gap in our understanding of the population dynamics of pest and non-pest species in vegetable agro-ecosystems. This deficit restricts the capacity to develop IPM strategies for the important pest thrips species. To contribute to our understanding of the Thysanoptera and the relationship of this insect order with the vegetable agro-ecosystem, this study determined the thrips species assemblage in French bean (Phaseolus vulgaris, var. ‘Labrador’), lettuce (Lactucta sativa, var. ‘Rador’), tomato (Solanum lycopersicum, indeterminate trial variety courtesy of Syngenta©) and zucchini (Cucurbita pepo, var. ‘Amanda’) agro-ecosystems, and further investigated: the temporal distribution of thrips populations on a crop phenological scale; the variability of the spatial distribution of thrips clusters; the effect of weather on thrips relative abundance; and the reproductive host association between thrips and the four crops. Investigations undertaken in this three-year study (27th December 2011 to 3rd June 2012; 24th December 2012 to 4th June 2013; 27th December 2013 to 17th June 2014) determined that four thrips species assemblages exist in each of the four agro-ecosystems. These comprised of key thrips species including Frankliniella occidentalis (Pergande) and Megalurothrips usitatus (Bagnall) in French bean, Desmothrips tenuicornis (Bagnall), F. occidentalis and F. schultzei (Trybom) in lettuce, F. occidentalis, F. schultzei and Pseudanaphothrips achaetus (Bagnall) in tomato and F. occidentalis, F. schultzei and Tenothrips frici (Uzel) in zucchini. French bean and zucchini supported the greatest diversity and abundance of thrips, whilst tomato supported the least within the assemblage. This study represents the first published description of thrips species assemblages in these important vegetable crops.
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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 | 0.000 |
| 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 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".