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Record W2014818324 · doi:10.5344/ajev.2011.10040

Determination of Genetic Relationships of Albariño and Loureira Cultivars with the Caíño Group by Microsatellites

2011· article· en· W2014818324 on OpenAlexfundno aff
Emilia Díaz‐Losada, Andrea Tato Salgado, Ana María Ramos‐Cabrer, Santiago Pereira‐Lorenzo

Bibliographic record

VenueAmerican Journal of Enology and Viticulture · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsnot available
FundersNational Eye InstituteXunta de GaliciaUniversity of Guelph
KeywordsGermplasmMicrosatelliteCultivarLocus (genetics)BiologyAlleleGenetic relationshipBotanyGeneticsGenetic diversityGeneDemography

Abstract

fetched live from OpenAlex

The grapevine germplasm bank EVEGA contains 135 accessions of 15 Galician cultivars. Analysis with 33 polymorphic microsatellites (SSRs) indicate that Albariño and Loureira could be related to the Caíño group in western Galicia, Spain. Likelihood ratios support the hypothesis of significant parentage relationship between Albariño and Caíño Bravo as parents of Caíño Blanco. Loureira shared alleles for each locus with Caíño Bravo, indicating close relationship by hybridization. Caíño Bravo was related directly with four cultivars (Caíño Blanco, Caíño Longo, Castañal, and Loureira) and with two others (Caíño Redondo1 and Sousón), with which it shared 32 of 33 loci, indicating that it could be the origin of this lineage, as the key cultivar of the Caíño group.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.361

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 studies0.0000.001
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 head0.022
GPT teacher head0.228
Teacher spread0.206 · 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

Citations8
Published2011
Admission routes1
Has abstractyes

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