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Record W2343452526 · doi:10.14288/1.0090939

The effects of p,p’-DDE and current-use pesticides on reproduction and health in zebra finches (taeniopygia Guttata)

2009· article· en· W2343452526 on OpenAlexaboutno aff
Harpreet Gill

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTaeniopygiaZEBRA (computer)ReproductionZebra finchBiologyZoologyEcologyComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

Until the early 1970's, organochlorine (OC) insecticides were used primarily to control a wide range of pests in North America. Following several restrictions on the usage, OCs were replaced with more acutely toxic, but less persistent insecticides, primarily organophosphates and carbamates. However, many OCs, particularly DDT-related compounds, persist at high concentrations in areas of past intensive usage, such as fruit orchards. Organophosphates, such as azinphos-methyl, and fungicides, such as mancozeb, are commonly used insecticides in fruit orchards, applied alone or as tank mixtures. There are no data available on the toxicity of this common mixture or whether these currently used pesticides can have synergistic effects with DDE (a persistent metabolite of DDT). This study examined effects of DDE alone and in combination with current-use pesticides, using the Zebra finch (Taeniopygia guttata) as a laboratory model. The objectives were to determine 1) the dose-response relationship of azinphos-methyl on brain and plasma cholinesterase (ChE) activity in Zebra finches, 2) the effects of DDE, mancozeb and azinphos-methyl exposure on egg production and yolk precursor levels, and 3) the effects of DDE, mancozeb and azinphos-methyl exposure on passerine reproduction on the post-hatch period. In the first study, although, Zebra finches experienced ChE inhibition following exposure to azinphos-methyl, they appeared to be less sensitive compared to other songbird species. In addition, p,p'-DDE did not appear to affect the degree of ChE inhibition following subsequent azinphos-methyl exposure, however, it did appear to result in stimulation of the immune system. In the second study we found little evidence that dosing of breeding females with current-use pesticides, including azinphos-methyl and mancozeb, either alone or in combination with p,p'- DDE, had significant negative effects on reproductive traits (timing of laying, egg size and number, yolk precursor levels) or immune statues (percent hematocrit and leucocrit and H/L ratio) in female Zebra finches. However, birds with previous exposure to p,p'-DDE (one year prior to the start of the experiment) may be negatively impacted in terms of yolk precursor levels and immune response. In the final study, we found no evidence that dosing of adult Zebra finches with current-use pesticides, including azinphos-methyl and mancozeb, either alone or in combination with p,p'-DDE, had significant negative effects on reproductive traits or immune status in female Zebra finches. Future studies to determine potential effects of in ovo exposure to pesticides on reproduction post-fledging as well as later reproductive success would be beneficial in explaining effects of pesticides on songbirds species. In addition, the possibility of long-term exposure of p,p'-DDE on immune function should be further studied. These data are essential for developing strategies to sustain healthy songbird populations in orchards and will allow for excellent comparative data for a complimentary field study being conducted in Ontario, Canada.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2009
Admission routes1
Has abstractyes

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