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Record W2013576478 · doi:10.1139/z08-138

Incubation temperature effects on hatchling growth and metabolic rate in the African spurred tortoise,<i>Geochelone sulcata</i>

2009· article· en· W2013576478 on OpenAlexvenueno aff
Day B. Ligon, Joseph R. Bidwell, Matthew B. Lovern

Bibliographic record

VenueCanadian Journal of Zoology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyIncubationHatchlingYolkHatchingTortoiseBasal metabolic rateMaternal effectZoologyAnimal scienceEcologyOffspringEndocrinologyBiochemistryPregnancy

Abstract

fetched live from OpenAlex

We tested competing hypotheses regarding the persistence of temperature-dependent sex determination (TSD) in the African spurred tortoise (Geochelone sulcata (Miller, 1779)), by measuring the effects of incubation temperature (T inc ) on a suite of physiological and behavioral endpoints, including resting metabolic rate, yolk-to-tissue conversion efficiency, posthatching growth, and temperature preference. Correlations of these variables with T inc could lend support to the hypothesis that TSD persists owing to sex-specific benefits of development at specific temperatures, whereas absence of T inc effects support the null hypothesis that TSD persists simply because selection favoring alternate sex determining mechanisms is weak or absent. The metabolic rate Q 10 value exhibited temporal variation and was higher immediately after hatching compared with 40 or 100 days posthatching, and mass conversion efficiency varied among clutches. Incubation temperature correlated inversely with duration of embryonic development, but did not influence yolk conversion efficiency, growth, or resting metabolic rate. Thus, our results provide little evidence indicating contemporary benefits of TSD, suggesting that TSD in G. sulcata is no longer evolutionarily adaptive but persists because selection against it and in favor of other sex-determining mechanisms is weak, or that TSD is an adaptive trait but for reasons not elucidated by this study.

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 score0.071
Threshold uncertainty score0.995

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 head0.005
GPT teacher head0.182
Teacher spread0.177 · 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

Citations11
Published2009
Admission routes1
Has abstractyes

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