Gene Expressions Analysis of Seed Physiological Quality in Soybean Cultivars
Bibliographic record
Abstract
Soybean seed production with high physiological quality is important for ensuring populations of recommended plants for each cultivar. It is also known that there is genetic variability for this characteristic among the soybean cultivars. The objective was to study the genes expressionof protein and gene transcript involved in the physiological quality of soybean seeds. The seeds of CD 206 and CD 201 cultivars were classified as high quality while Savana and Emgopa 316 cultivars were classified as low quality by germination and vigor tests. Physiological, enzymatic and transcripts analysis were held in seeds of each cultivar during two harvest seasons, R8 and R8 + 15 days; at protein level the alcohol dehydrogenase isoenzyme systems (ADH), phosphoglucoisomerase (PGI), superoxide dismutase (SOD), catalase (CAT), malate dehydrogenase (MDH) and isocitrate lyase (ICL). The PCR technique in real time (qRT-PCR) was used for transcritome studies for quantitative gene expression analysis. The method used was the comparative Ct considering the relative expression levels in relation to cultivar of high quality CD 201. It is concluded that there is higher enzymes expression involved in respiration, alcohol dehydrogenase (ADH), malate dehydrogenase (MDH) and phosphoglucoisomerase (PGI), in seeds with high physiological quality, especially when harvesting is delayed. The proteomic and transcriptomic profiles related to the genes involved in free radicals removing systems in soybeans varies among cultivars and the season of seed harvest.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".