Transcriptomic data of imbibed wheat (Triticum aestivum L.) seeds developed at different temperatures
Bibliographic record
Abstract
The present data profiles a large scale transcriptome changes associated with variations in seed dormancy level induced by seed development temperature in hexaploid wheat. Seed dormancy is an important trait that inhibits seed germination under optimal conditions and therefore has important implication in preventing the incidence of preharvest sprouting, which refers to the germination of seeds on the mother plant prior to harvest, in wheat. Since the incidence of preharvest sprouting, which causes a significant reduction in seed yield and quality in wheat, is closely associated with low level of seed dormancy manifested in modern wheat cultivars, it is important to develop wheat cultivars with optimal level of dormancy to enhance wheat yield and quality. Thus, elucidation of the molecular mechanisms that regulate seed dormancy is critical for the development of pre-harvest sprouting resistant wheat cultivars. The data we are presenting here was generated from total RNA samples extracted from imbibed seeds of a dormant wheat (Triticum aestivum L.) genotype that were developed at different temperatures using the Affymetrix GeneChip Wheat Genome Array. The raw and normalized formats of these data are deposited in the NCBI's gene expression data repository, Gene Expression Ominbus (GEO)r with accession number GSE153527.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".