Genetic Diversity and Population Structure in Diploid Potatoes of <i>Solanum tuberosum</i> Group Phureja
Bibliographic record
Abstract
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 (FST = 0.09636) is mainly due to differences between accessions (FIS = 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".