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Record W7032986028

The origins and evolutionary history of feral apples in southern Ontario

2018· dissertation· en· W7032986028 on OpenAlexaffabout

Bibliographic record

VenueThe Atrium (University of Guelph) · 2018
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicOrthoptera Research and Taxonomy
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMalusDomesticationIntroduced speciesOrnamental plantPopulationPopulation geneticsInvasive speciesMicrosatelliteCultivar
DOInot available

Abstract

fetched live from OpenAlex

Feral populations of domesticated crops can establish through hybridization with native relatives, or through recombination of known cultivars. The relative importance of these two pathways is not known, especially for woody fruit crops. The goal of this study was to examine the evolutionary origins of feral populations of Malus domestica (domestic apple) in southern Ontario using a population genetics analysis. I characterized genotypes of 467 feral apple trees along with 127 commercial cultivars, ornamental crabapple cultivars and the native Malus coronaria, using 14 microsatellite markers. The feral trees were composed of seven genetic subgroups that are distributed throughout Ontario, and were associated with different commercial cultivars. The results suggest that feral apples are not products of hybridization with native M. coronaria, rather they have multiple origins, partly derived from early heritage cultivars. These lineages have spread and coexist throughout Ontario, rather than being derived strictly from local sources.

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 score0.607
Threshold uncertainty score0.844

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 head0.021
GPT teacher head0.194
Teacher spread0.173 · 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
Published2018
Admission routes2
Has abstractyes

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