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The <i>scurs</i> locus in cattle maps to bovine chromosome 19

2004· article· en· W2078767621 on OpenAlexafffund
M. Asai, T. G. Berryere, S. M. Schmutz

Bibliographic record

VenueAnimal Genetics · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsUniversity of Saskatchewan
FundersMinistry of Agriculture - Saskatchewan
KeywordsBiologyLocus (genetics)GeneticsMicrosatelliteAutosomeGenetic markerQuantitative trait locusGene mappingX chromosomeChromosomeAlleleGene

Abstract

fetched live from OpenAlex

Polled, or the absence of horns, is a desirable trait for many cattle breeders. However, the presence of scurs, which are small horn-like structures that are not attached to the skull, can lower the value of an animal. The scurs trait has been reported as sex influenced. Using a genome scan with 162 autosomal microsatellite markers genotyped across three full-sib families, the scurs locus was mapped near BMS2142 on cattle chromosome 19 (LOD = 4.21). To more precisely map scurs, the families from the initial analysis and three additional families were genotyped for 16 microsatellite markers and SNPs in three genes on chromosome 19. In this subsequent analysis, the scurs locus was mapped 4 cM distal of BMS2142 (LOD = 4.46) and 6 cM proximal to IDVGA46 (LOD = 2.56). ALOX12 and MFAP4 were the closest genes proximal and distal, respectively, to the scurs locus. Three microsatellite markers on the X chromosome were genotyped across these six families but were not linked to scurs, further demonstrating that this trait was not sex linked. Because the polled locus has been mapped to the centromeric end of chromosome 1 and scurs has now been mapped to chromosome 19, these two traits are not linked in Bos taurus.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.240
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 source (direct Gemma or distilled Codex), 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

Citations37
Published2004
Admission routes2
Has abstractyes

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