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Record W4390475635 · doi:10.5376/tgmb.2024.14.0001

Study on the Geographic Distribution and Conservation Strategies of Genetic Diversity in Apple Germplasm Resources

2024· article· en· W4390475635 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

VenueTree Genetics and Molecular Breeding · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsGermplasmGenetic diversityDiversity (politics)BiodiversityBiologyGeographyAgroforestryEnvironmental resource managementEcologyPolitical scienceSociologyPopulationBotany

Abstract

fetched live from OpenAlex

Apples, as one of the globally significant fruit trees, possess a rich array of germplasm resources and extensive genetic diversity. This review aims to delve into the genetic diversity of apple germplasm resources and the associated conservation strategies. It begins by outlining the origin and evolutionary history of apples, then focuses on elucidating the significance of genetic diversity in the apple industry, as well as evaluating the effectiveness and challenges of current conservation strategies. Addressing the shortcomings of existing strategies, the review further explores improvement measures including diversity maintenance, genomics-based conservation methods, and ongoing monitoring and management. By providing a comprehensive discussion, this review seeks to offer a holistic understanding of conserving genetic diversity in apple germplasm resources, serving as a reference for future research and conservation efforts.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.192

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 head0.016
GPT teacher head0.218
Teacher spread0.202 · 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