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Record W4400798663 · doi:10.5376/tgg.2024.15.0006

Impact of Domestication on Nucleotide Diversity in Barley

2024· article· en· W4400798663 on OpenAlexvenueno aff
Qing Xu, Renxiang Cai

Bibliographic record

VenueTriticeae Genomics and Genetics · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsDomesticationDiversity (politics)Nucleotide diversityBiologyEvolutionary biologyGeneticsNucleotideBiotechnologyPolitical scienceGenotypeGeneHaplotypeLaw

Abstract

fetched live from OpenAlex

As a widely cultivated crop worldwide, barley ( Hordeum vulgare ) has a long history of domestication and has had a profound impact on agricultural production and human life. With the development of molecular biology technology, research on nucleotide diversity in barley has gradually deepened, providing important basis for understanding the genetic structure and domestication mechanism of barley. This study aims to analyze the impact of domestication on nucleotide diversity in barley. By comparing and analyzing the nucleotide diversity of wild barley and cultivated barley, it is found that population bottlenecks and targeted breeding during domestication have a profound impact on genetic structure. Meanwhile, the changes in adaptive genes and genomic structure of barley caused by domestication were explored, revealing the impact of domestication mechanisms on crop genetics. This study aims to enhance the understanding of the genetic mechanism of barley domestication, and provide scientific basis for variety improvement and genetic resource protection. In addition, it has reference value for other crop domestication and genetic diversity research, and is of great significance for promoting the development of agricultural biotechnology.

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 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 score0.894
Threshold uncertainty score0.152

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 head0.029
GPT teacher head0.264
Teacher spread0.236 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueTriticeae Genomics and GeneticsSame topicWheat and Barley Genetics and PathologyFrench-language works237,207