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Using Degree-Day and Logistic Models to Predict Emergence Patterns and Seasonal Flights of the Cabbage Maggot and Seed Corn Maggot (Diptera: Anthomyiidae) in Canola

2006· article· en· W2177411118 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Entomology · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsAgriculture Food and Rural DevelopmentAgriculture and Agri-Food CanadaUniversity of Alberta
FundersAgriculture and Agri-Food CanadaWestern Grains Research Foundation
KeywordsAnthomyiidaeVoltinismCanolaBiologyBrassica rapaBrassicaDegree dayMaggotHorticulturePEST analysisGrowing degree-dayDegree (music)BotanyAnimal scienceLarvaAgronomySowing

Abstract

fetched live from OpenAlex

Seasonal flight activity periods and emergence phenologies of the cabbage maggot, Delia radicum L., and the seedcorn maggot, Delia platura (Meigen), were studied from 2002 to 2004 in canola, Brassica rapa L. and Brassica napus L., in central Alberta, Canada, in relation to degree-days and Julian-days. D. radicum was univoltine in canola. Peak emergence occurred after an accumulation of 345.8 ± 79.4 DD, and 50% flight activity required accumulation of 324.5 ± 46.8 DD (soil base 4°C). D. platura was bivoltine in canola. Peak emergence of the first generation required 339.5 DD, and the second generation required 594.5 ± 38.9 DD (soil base 3.9°C). Peak flight activity occurred after accumulation of 255.0 ± 74.2 and 639.9 ± 69.4 DD for the first and second generations, respectively. A logistic model was used to describe the relationship of degree-days and Julian-days with emergence patterns of adult flies and predicted that 10, 50, and 95% emergence of D. radicum required 213.7 ± 39.9, 324.5 ± 46.8, and 467.2 ± 46.3 DD, respectively. Logistic analysis predicted that 50% emergence of the first generation of D. platura required an average of 255.0 ± 74.2 DD, and the second generation required 526.8 ± 66.6, 639.9 ± 69.4, and 952.8 ± 77.0 DD for 10, 50, and 95% emergence, respectively. Determination of the temporal patterns of abundance of D. radicum and D. platura has potential application for pest management because it can help ensure that phenologies of candidate agents for biocontrol are synchronous with those of the pests they are targeted to control.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.853

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 head0.024
GPT teacher head0.212
Teacher spread0.188 · 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