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Record W2605262315 · doi:10.1111/ibi.12486

A novel<scp>PCR</scp>‐based genetic marker shows that sex of offspring does not account for hatch‐order effects on growth, survival and dominance in Pūkeko<i>Porphyrio melanotus melanotus</i>

2017· article· en· W2605262315 on OpenAlexaff
Meghan Healey, Jing Sheng Hing, Cody J. Dey, James S. Quinn

Bibliographic record

VenueIbis · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiologyOffspringHatchingSex ratioBroodDominance (genetics)ZoologyEcologyDemographyGeneticsPopulationPregnancy

Abstract

fetched live from OpenAlex

Intra‐brood competition can influence a variety of fitness‐related traits in birds. Previous research on the joint‐nesting Pūkeko Porphyrio melanotus melanotus , a New Zealand subspecies of Australasian Swamphen, showed that chicks that hatched earlier in a brood tended to grow faster, were more likely to survive and had higher dominance status as adults than later hatched nest‐mates. However, this finding could be due to changes in offspring sex ratio across hatch order (e.g. if males tend to hatch earlier), which was not previously examined because of methodological challenges associated with sexing nestling Pūkeko. Here, we report a useful PCR ‐based genetic marker to determine the sex of Pūkeko. We then used new sex‐specific data to re‐examine patterns of offspring growth, survival and dominance. We found that the sex of offspring does not account for the hatching‐order patterns related to social dominance, growth or survival. Furthermore, changes in offspring sex ratio across hatching‐order were negligible and offspring sex ratios did not differ significantly between the primary female and secondary female broods (in joint‐clutch nests), or when comparing primary female and single female broods. We found no clear evidence for sex ratio bias according to hatching‐order and conclude that hatching‐order and not offspring sex explain patterns of growth, survivorship and adult dominance in Pūkeko.

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 score0.115
Threshold uncertainty score0.892

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 head0.014
GPT teacher head0.236
Teacher spread0.222 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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