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Record W7077079588 · doi:10.5376/tgg.2024.15.0021

Evolutionary Biology of Rye (<i>Secale cereale</i>): Domestication and Adaptation

2024· article· en· W7077079588 on OpenAlexvenueno aff

Bibliographic record

VenueTriticeae Genomics and Genetics · 2024
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsDomesticationAdaptabilitySecaleAdaptation (eye)Human evolutionary geneticsSelection (genetic algorithm)Comparative biologyAgricultureEvolutionary physiology

Abstract

fetched live from OpenAlex

Rye ( Secale cereale ) is a cereal crop with a unique evolutionary history, whose adaptability has enabled it to thrive in diverse and often extreme environments. This study provides a comprehensive review of the evolutionary biology of rye, focusing on its domestication and adaptation processes. The research explores the geographic origins of rye, its wild relatives, and archaeological evidence of its early use. It offers an in-depth analysis of the genetic mechanisms driving rye's adaptability, including the selection of key traits such as cold tolerance and disease resistance. Additionally, the study discusses the challenges associated with rye cultivation, including environmental stressors, disease management, and socio-economic factors. Through this research, we gain a deeper understanding of rye's evolutionary history and offer valuable insights to enhance its adaptability and sustainability in future agricultural systems.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations2
Published2024
Admission routes1
Has abstractyes

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