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Record W6981998326

Genetic diversity in Canadian horse breeds based on microsatellite analysis applications for livestock conservation

2000· dissertation· en· W6981998326 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2000
Typedissertation
Languageen
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsMicrosatelliteLivestockGenotypingBreedGenetic diversityPonyPhylogenetic treeEndangered species
DOInot available

Abstract

fetched live from OpenAlex

An analysis of sixteen horse breeds comprising rare and common breeds was undertaken to investigate the applicability of microsatellite data to livestock conservation. Breeds studied included three rare Canadian breeds, two French breeds and eleven common North American breeds of Race and/or Riding, Draft and Pony types. The focus of this project was the Canadian Horse (le Cheval Canadien), a unique breed which has been isolated for over 300 years, with the intention of providing a realistic framework applicable towards conservation efforts directed at other endangered livestock breeds. A new panel of 15 multiplexed microsatellite markers was developed which, when combined with a previously developed multiplex, yields a panel of 25 loci, providing a cost-efficient system for genotyping large numbers of animals. A total of 1027 animals were genotyped at 11 loci, of which 318 animals were typed at the full panel of 25 loci, in order to investigate the effect of sample size, number of loci and different distance measures on the ability to reconstruct genetic relationships through phylogenetic analysis. Phylogenetic analysis revealed a separation of Race/Riding type breeds from Draft and Pony breeds. These results were consistent for varied genetic distance measures, small sample sizes, and fewer loci than are currently recommended for livestock conservation genotyping programs. Genotyping fewer animals at more loci was more effective in resolving closer breed relationships than typing more animals at fewer loci. These empirical results confirm published predictions based on simulation results. Assignment of individual animals to their breeds was possible based on their genotype for breeds that were distantly related. The Cheval Canadien was found to be most closely related to the Morgan horse, corroborating theories of its influence on some of the ancestors of the Morgan, and to the two French breeds, which are believed to be descendants of some of the Cheval Canadien's founding breeds. Heterozygosity estimates ranged from 0.609 to 0.732 in the 16 breeds studied. Average inbreeding coefficients were estimated at 10.6%. Inbreeding levels were not found to be elevated within three rare Canadian breeds in comparison with more common breeds, although the level of heterozygosity was very low in one breed (the Lac LaCroix Pony). Levels of expected heterozygosity and inbreeding levels estimated from these microsatellite data were consistent with published data based on blood type loci and inbreeding coefficients computed from pedigree data.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.253
Teacher spread0.231 · 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.

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
Published2000
Admission routes1
Has abstractyes

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