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Record W2127088265 · doi:10.3923/pjbs.2008.2629.2633

Evaluation of Genetic Diversity among Different Genotypes of Brassica napus Using Random Amplified Polymorphic DNA Markers

2008· article· en· W2127088265 on OpenAlexaboutno aff
Elnaz Fazeli, Farajollah Shahriari Ahmadi, Abdolreza Bagheri, Mohammad Farsi

Bibliographic record

VenuePakistan Journal of Biological Sciences · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsnot available
Fundersnot available
KeywordsRAPDRapeseedBrassicaGenetic diversityGenotypeBiologySimilarity (geometry)Genetic similarityHeterosisGeneticsGenetic distancePolymorphism (computer science)DiceVeterinary medicineGenetic variationHorticultureBotanyStatisticsMathematicsHybridGenePopulationDemography

Abstract

fetched live from OpenAlex

In current research, genetic relationships among rapeseed genotypes from several geographical origins including France, Canada, Germany, Iran, Hungary, Denmark, Australia and America were evaluated using RAPD markers. Among generated 86 bands, 80 different polymorphic bands were obtained using 9 random primers. Diversity Index (DI) or Polymorphism Information Content (PIC) was varied from 0.29 to 0.48, showed a relatively high potential of primers among studied genotypes. Dice similarity coefficient between genotypes was calculated using Nei and Li formula. Maximum (0.91) and minimum (0.42) similarity coefficients were observed between Bristol and Amber genotypes, consul and express, respectively. Cluster analysis based on dice similarity coefficient was also carried out. Base on the cluster analysis, genotypes were grouped into five main clusters. Results showed that genotypes with same geographical origin were genetically different. Therefore, geographical origins of genotypes cannot be used as a base to cross parent to obtain high heterosis and it must be carried out by exact genetic studies. Results confirmed that RAPD is a simple, cheap and fast method for evaluation of genetic diversity of Brassica napus.

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)0.002
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.062
GPT teacher head0.302
Teacher spread0.240 · 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 designBench or experimental
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

Citations6
Published2008
Admission routes1
Has abstractyes

Explore more

Same venuePakistan Journal of Biological SciencesSame topicNitrogen and Sulfur Effects on BrassicaFrench-language works237,207