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Record W2389905832

Establishment of DNA Fingerprinting and Analysis of Genetic Diversity Among Japonica Rice Cultivars Attended Regional Trials in Northeast Region of China

2009· article· en· W2389905832 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSeed · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsnot available
Fundersnot available
KeywordsDNA profilingGermplasmGenetic diversityCultivarBiologyJaponicaJaponica riceChinaMicrosatelliteAlleleBiotechnologyBotanyGeneticsGeographyDNAGeneDemographyPopulation
DOInot available

Abstract

fetched live from OpenAlex

DNA fingerprinting is a useful tool for the registration and identification of new cultivars,the protection of cultivars' rights and evaluation of genetic diversity.In this study,10 pairs of core SSR makers were screened among 500 pairs of SSR primers to establish DNA fingerprinting of japonica rice cultivars attended regional trials In the Northeast the past two years.The result of genetic diversity showed that only 300 alleles were detected in 100 polymorphic loci with the average number of 3,the average number of PIC was 0.3753 and Shannon-Weiner index was 0.6445,significantly lower than others rice regions.So,the current genetic diversity of germplasm resources on rice in Northeast Region of China was correspondingly narrow.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.268
Teacher spread0.225 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

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