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Record W2340624666 · doi:10.5376/ijh.2016.06.0002

Molecular Assessment of Genetic Diversity and Identification of Elite Cashew Hybrids

2016· article· en· W2340624666 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

VenueInternational Journal of Horticulture · 2016
Typearticle
Languageen
FieldMedicine
TopicGinkgo biloba and Cashew Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHybridGenetic diversityEliteIdentification (biology)BiologyDiversity (politics)Evolutionary biologyGeneticsBiotechnologyBotanySociologyDemography

Abstract

fetched live from OpenAlex

Genetic diversity among 20 cashew hybrids and their eight parents were assessed using 15 RAPD primers which resulted 1742 alleles with an average of 62.21 alleles per genotype. RAPD profiles revealed 94 polymorphic bands out of total 107 scorable bands resulting 87.85% polymorphism. On an average 7.66 bands were produced with a range of 4-15 amplicons per primer. The maximum number (14) of polymorphic bands (210 to 3250 bp) was produced by primer OU-34 with high polymorphic information content (PIC) and resolving power (Rp) values. Cashew hybrids H 6 and D 19 maintained very high level of average genetic dissimilarity with rest of the test genotypes. The above hybrids comprising the most divergent genetic group (Cluster-I) had shown significantly above average productivity and these could enrich the cashew gene pool for further genetic improvement for nut quality and yield per se. Besides, the genotype-specific bands identified in the present study are useful for identification of cashew genotypes.

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 score0.758
Threshold uncertainty score0.137

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 head0.008
GPT teacher head0.295
Teacher spread0.286 · 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