MétaCan
Menu
Back to cohort
Record W2155872395 · doi:10.2135/cropsci2014.07.0524

Genetic Diversity and Population Structure in Diploid Potatoes of <i>Solanum tuberosum</i> Group Phureja

2015· article· en· W2155872395 on OpenAlexfundno aff
Deissy Juyó, Felipe Sarmiento, María Fernanda Álvarez, Helena Brochero, Christiane Gebhardt, Teresa Mosquera

Bibliographic record

VenueCrop Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsnot available
FundersLeibniz-Institut für Pflanzengenetik und KulturpflanzenforschungMinistry of Environment and Sustainable DevelopmentLeibniz-GemeinschaftRheinische Friedrich-Wilhelms-Universität BonnMinistry of EnvironmentMinistry of Agriculture - Saskatchewan
KeywordsGermplasmBiologySolanum tuberosumGenetic diversityPloidyPopulationMicrosatelliteSolanumAlleleGeneticsBotanyDemography

Abstract

fetched live from OpenAlex

ABSTRACT The south of Colombia is a center of diversity for diploid potatoes in the Solanum tuberosum group Phureja. This germplasm is important for genetic studies and is used as a genetic resource in potato breeding programs. In Andean countries, Phureja group potatoes are a staple food and represent important incomes for smallholder farmers. We studied the genetic diversity and population structure of 110 diploid potato group Phureja accessions by analyzing allele frequencies using a set of 42 microsatellites (simple sequence repeats). The accessions used in this study were 97 diploid S. tuberosum Phureja group accessions from the Colombian Core Collection and 13 diploid accessions from the German germplasm bank. Allelic richness, heterozygosity, population differentiation ( F statistics) and population allocation by means of Bayesian modeling analyses were performed. Results indicated that the population is highly diverse (Hs = 0.55), and genetic differentiation (F ST = 0.09636) is mainly due to differences between accessions (F IS = 0.17115). These indexes of population differentiation suggest a moderate division within the population but not a marked population structure. Results with respect to the genetic structure of the analyzed germplasm provide the basis for the development and implementation of linkage and association mapping as well as methods for precision breeding such as the search for diagnostic molecular markers.

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 score0.555
Threshold uncertainty score0.203

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 head0.017
GPT teacher head0.199
Teacher spread0.182 · 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

Citations34
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCrop ScienceSame topicPlant Pathogens and ResistanceFrench-language works237,207