Population structure and marker–trait association of salt tolerance in barley (Hordeum vulgare L.)
Why this work is in the frame
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Bibliographic record
Abstract
Association mapping is becoming an important tool for identifying alleles and loci responsible for dissecting highly complex traits in barley. This study describes the population structure and marker-trait association using general linear model (GLM) analysis on a site of 60 barley genotypes, evaluated in six salinity environments. Ninety-eight SSR and SNP alleles were employed for the construction of a framework genetic map. The genetic structure analysis of the collection turned out to consist of two major sub-populations, mainly comprising hulled and naked types. LD significantly varied among the barley chromosomes, suggesting that this factor may affect the resolution of association mapping for QTL located on different chromosomes. Numerous significant marker traits were associated in different regions of the barley genome controlling salt tolerance and related traits; among them, 46 QTLs were detected on 14 associated traits over the two years, with a major QTL controlling salt tolerance on 1H, 2H, 4H and 7H, which are important factors in improving barley's salt tolerance.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it