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Record W2045867411 · doi:10.1139/g08-007

Mapping of a major locus controlling seed dormancy using backcrossed progenies in wheat (<i>Triticum aestivum</i>L.)

2008· article· en· W2045867411 on OpenAlexvenueno aff
Atsushi Torada, Michiya Koike, Shojiro Ikeguchi, Ichiro Tsutsui

Bibliographic record

VenueGenome · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyBackcrossingQuantitative trait locusDormancySeed dormancyLocus (genetics)AlleleVernalizationGerminationGeneAgronomyGenetics

Abstract

fetched live from OpenAlex

Seed dormancy is an important factor regulating preharvest sprouting (PHS) but is a complex trait for genetic analysis. We previously identified a major quantitative trait locus (QTL) controlling seed dormancy on the long arm of chromosome 4A (4AL) in common wheat. To transfer the QTL from the dormant lines 'OS21-5' and 'Leader' into the Japanese elite variety 'Haruyokoi', which has an insufficient level of seed dormancy, backcrossing was carried out through marker-assisted selection (MAS) using PCR-based codominant markers. Nineteen BC5F2 plants with homozygous alleles of 'OS21-5' or 'Haruyokoi' were developed and evaluated for seed dormancy under greenhouse conditions. The seeds harvested from plants with 'OS21-5' alleles showed a clearly high level of dormancy compared with seeds from plants with 'Haruyokoi' alleles. Additionally, the dormancy phenotype of BC3F3 seeds harvested from 128 BC3F2 plants with homozygous alleles of 'Leader' or 'Haruyokoi' showed a clear difference between these alleles. The QTL on 4AL confers a major gene, Phs1, which was mapped within a 2.6 cM region. The backcrossed lines developed in this study can be important sources for improving PHS resistance in Japanese wheat and for analyzing the mechanism of seed dormancy. MAS was useful for the development of near-isogenic lines in this complex trait, to facilitate the molecular dissection of genetic factors.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.199

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 head0.031
GPT teacher head0.232
Teacher spread0.201 · 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 designBench or experimental
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

Citations53
Published2008
Admission routes1
Has abstractyes

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