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Record W4226258125 · doi:10.5376/ijmeb.2022.12.0001

Analysis of Genetic Diversity and Relationship of <i>Jacaranda mimosifolias</i> Based on ISSR Molecular Markers Technique

2022· article· en· W4226258125 on OpenAlexvenueno aff
Xuefeng Liu, Guo Liu, Xiaomei Li, Peijian Zhang, Min Huang, Liqiong Gao, Liang Fang, Guowu Zhang

Bibliographic record

VenueInternational Journal of Molecular Evolution and Biodiversity · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsnot available
Fundersnot available
KeywordsGenetic diversityGermplasmBiologyAlleleMolecular markerGeneticsBotanyGenePopulationDemographySociology

Abstract

fetched live from OpenAlex

The genetic diversity and relationship of Jacaranda mimosifolias from 19 provenances including 21 germplasms in China were studied by ISSR molecular markers technique. 53 bands were amplified by using 10 selected primers from all the 33 primers, of which 44 bands were polymorphic, with the polymorphism ratio of 83.02%. Each primer could amplify 5.3 bands in average. The average number of tested alleles (Na) , effective alleles (Ne) , Nei’s gene diversity index (H) and Shannon’s information index (I) were 1.83, 1.45, 0.27, 0.40, respectively. ISSR molecular marker cluster analysis research shows 21 J. mimosifolias germplasm resources could be divided into two groups, and the genetic diversity is high. Their genetic relationship is not strongly related to geographical origin of cultivation area. In this study, the relatively accurately molecular identification of the germplasm resources of J. mimosifolias was carried out, which will provide a theoretical basis for the breeding of the improved varieties.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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