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Record W4405852023 · doi:10.5376/gab.2024.15.0034

Advances in Genomic Research and Genetic Improvement of Cactaceae Plants

2024· article· en· W4405852023 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

VenueGenomics and Applied Biology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyEvolutionary biologyGenomic selectionBiotechnologyComputational biologyGeneticsGenotypeGene

Abstract

fetched live from OpenAlex

Cactaceae plants have garnered widespread attention due to their unique Crassulacean Acid Metabolism (CAM) pathway and their adaptability to arid environments. This study explores the advancements in genomic research and genetic improvement of Cactaceae, focusing on the integration of traditional breeding and modern molecular breeding techniques. Traditional methods such as selective breeding and hybrid breeding have achieved significant progress in enhancing drought resistance and fruit quality but face challenges such as long breeding cycles and high genetic complexity. Modern techniques, including molecular markers, functional genomics, and gene editing, provide new pathways for more efficient genetic improvement. The study also highlights that the construction of high-density genetic maps and the analysis of gene regulatory networks have significantly facilitated the precise localization of genes associated with target traits. This study underscores that integrating traditional and modern technologies can accelerate the genetic improvement of Cactaceae, supporting sustainable agriculture and ecosystem stability.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.109

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 head0.035
GPT teacher head0.311
Teacher spread0.276 · 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