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Record W2372068294

Assessment of genetic diversity in Saccharum using SSR markers and capillary electrophoresis

2010· article· en· W2372068294 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSugarcane Cultivation and Processing
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsUPGMAJaccard indexDendrogramGenetic diversityBiologyCapillary electrophoresisSaccharum officinarumSaccharumGenetic relationshipMicrosatelliteGeneticsGenetic variationBotanyGeneCluster analysisMolecular biologyArtificial intelligenceAlleleComputer sciencePopulation
DOInot available

Abstract

fetched live from OpenAlex

This study was conducted to assess the genetic diversity amongst 12 Saccharum clones from 3 species using 19 SSR markers and capillary electrophoresis(CE). A total of 229 DNA bands were generated showing a size range between 100 and 260 bp. Based on the SSR data,the Jaccard's genetic similarity coefficients ranged from a minimum of 0.09 between CP72-1210(cultivar)and In81-142(S.spontaneum)to a maximum 0.65 between GX87(S.spontaneum)to GX86(S.spontaneum). In the dendrogram using UPGMA method,the 12 Saccharum clones were clustered into two groups. The three S.spontaneum clones formed a single group,while the three S.officinarum clones clustered with the six cultivars,which demonstrated that S.officinarum had a closer genetic relationship with cultivars than S.spontaneum. The SSR markers data generated based on capillary electrophoresis are more accurate,simpler and automatic as compared to other molecular markers or electrophoresis.

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.

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 score0.507
Threshold uncertainty score0.475

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 head0.024
GPT teacher head0.249
Teacher spread0.224 · 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

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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