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Record W2172587329 · doi:10.1603/0046-225x-31.5.874

Plant-Related Intraspecific Size Variation in Parasitoids (Hymenoptera: Parasitica) of a Polyphagous Leafminer (Diptera: Agromyzidae)

2002· article· en· W2172587329 on OpenAlexfundno aff
Adriana Salvo, Graciela Valladares

Bibliographic record

VenueEnvironmental Entomology · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
FundersInternational Council for Canadian Studies
KeywordsAgromyzidaeBiologyIntraspecific competitionHymenopteraEcologyHumanitiesLarva

Abstract

fetched live from OpenAlex

Body size of polyphagous parasitoids of agromyzid leafminers directly depends on that of their hosts. The possible influence of plant host on parasitoid body size was studied for the pea leafminer, Liriomyza huidobrensis Blanchard, and three of its most abundant solitary parasitoids: Phaedrotoma scabriventris (Nixon) (Braconidae), Halticoptera helioponi De Santis (Pteromalidae), and Chrysocharis flacilla (Walker) (Eulophidae) on 12 plant species. The relationship between host and parasitoid sizes was also examined to determine whether parasitoids use a consistent proportion of the host or whether different host plants allow varying degrees of resource exploitation. Significant differences were found in L. huidobrensis wing length, as well as in body and wing length of all parasitoid species studied, depending on the plant where the leafmining larvae had fed. Female parasitoid and host sizes were highly correlated. Despite leafminers attaining large body size, the host exploitation rate was consistently lower on Beta vulgaris cycla L., suggesting that plant aspects other than those determining leafminer size could be impairing host suitability on this plant. Within the range of plant hosts considered, Vicia faba L. would be the most adequate for rearing L. huidobrensis and the three parasitoid species studied, providing large individuals and an efficient biomass exploitation.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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.

Opus teacher head0.007
GPT teacher head0.184
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2002
Admission routes1
Has abstractyes

Explore more

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