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Record W1987552557 · doi:10.1303/aez.2003.529

New records of Ostrinia ovalipennis (Lepidoptera: Crambidae) from Hokkaido, and morphometric analyses for species identification and geographic variation

2003· article· en· W1987552557 on OpenAlexfundno aff
Suguru Ohno, Sugihiko Hoshizaki, Sadahiro Tatsuki, Yukio Ishikawa

Bibliographic record

VenueApplied Entomology and Zoology · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
FundersInstitute of GeneticsHokkaido UniversityMinistry of Education, Culture, Sports, Science and Technology
KeywordsBiologyCrambidaeLepidoptera genitaliaOstriniaMorphology (biology)PopulationZoologyGeographic variationEcologyPyralidaeDemography

Abstract

fetched live from OpenAlex

Ostrinia ovalipennis has been recorded only in Shigakogen, a highland area in Honshu. Here, we report the occurrence of the species in Hokkaido. Since Ostrinia latipennis, a close relative of O. ovalipennis, is distributed widely in northeastern Japan, these two species occur sympatrically at some localities. The two species can be diagnosed based on the wing morphology. Another diagnostic character useful for distinguishing the Shigakogen population of O. ovalipennis from O. latipennis, i.e., the sacculus length (SL) of male genitalia, could not distinguish some individuals of the Hokkaido population of O. ovalipennis from O. latipennis. To revise the species diagnosis of the two species in terms of male morphometric traits, and to compare the degree of geographic differentiation in morphology between the two species, we analyzed 10 morphological traits. A linear discriminant analysis showed that O. ovalipennis could be distinguished from O. latipennis by a combination of two traits, SL and mid femur length. Morphological differentiation was greater between the Shigakogen and Hokkaido populations of O. ovalipennis than between the same local populations of O. latipennis. We suggest that the difference in the degree of geographic differentiation between the two species has been caused by the difference in their distribution patterns.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.226

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 head0.052
GPT teacher head0.245
Teacher spread0.193 · 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

Citations6
Published2003
Admission routes1
Has abstractyes

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