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Record W2114060360 · doi:10.1603/029.102.0119

Trade-Offs Between Flight and Fecundity in the Soybean Aphid (Hemiptera: Aphididae)

2009· article· en· W2114060360 on OpenAlexaboutno aff
Ying Zhang, Kongming Wu, Kris A. G. Wyckhuys, George E. Heimpel

Bibliographic record

VenueJournal of Economic Entomology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
FundersMinistry of Science and Technology of the People's Republic of ChinaNational Natural Science Foundation of ChinaU.S. Department of Agriculture
KeywordsFecundityAlateAphididaeBiologyAphidSoybean aphidHemipteraLongevityEcologyBotanyPEST analysisHomopteraDemographyPopulation

Abstract

fetched live from OpenAlex

The soybean aphid, Aphis glycines Matsumura (Hemiptera: Aphididae), is native to eastern Asia and was accidentally introduced into North America in 2000. Within a few years, it was found throughout the U.S. and Canadian soybean-growing regions. The spread of A. glycines in North America is partly ascribed to its great flight capacity. We conducted direct measurements of flight performance of winged A. glycines adults and correlated this to their subsequent longevity and fecundity to determine whether there are trade-offs between flight and fecundity. We also estimated fecundity and development time of the offspring of females that had flown varying distances to examine potential maternal effects linked to flight. The experiment was conducted using a specifically designed aphid flight mill system in which winged aphids were tethered by their abdomens and flight duration, distance and speed were quantified. Fecundity, longevity and reproductive periods of 12-h-old A. glycines alates that had engaged in > 0.5 km long flights were significantly lower than those of < 0.5-km individuals. The offspring of alates with flight experiences of > 1.5 km also had lower fecundity than those produced by individuals that had engaged in flights < 1.5 km. Our results are therefore consistent both with direct trade-offs between flight and fecundity and a trade-off between flight and fecundity via maternal effects.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.166

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)0.0000.000

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 head0.017
GPT teacher head0.237
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations45
Published2009
Admission routes1
Has abstractyes

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