Evaluation of Drought Resistance on Seed Germination of Different Sunflower
Bibliographic record
Abstract
In this study,with two optional inbred lines K 55,K 58 as parents,it crossed F1 generation,F1 selfing got F2,finally obtained a F5 RILs populations which contain 187 plants by single-seed descent method as the experimental material.It had 8groups of polyethylene glycol(PEG-6000)concentration gradient for parents and hybrid F1 generation conditions for experiment,screened drought critical concentration of 20% PEG-6000 was screened to carnied the droaght stress test with the remaining 187 recombinant inbred lines material.The aim of this study is to study the effects of drought stress on sunflower seed germination,to provide a theoretical basis in terms of research on drought resistance of sunflower later and on QTL mapping.The results showed that the germination rate,sprout potential,germination index,embryonic bud lenth,embryonic root length,embryonic bud and embryonic root fresh weight and dry weight decreased.With the increasing of drought concentration,the inhibition enhanced gradually in F5 RILs.Every character showed significant or over significant differences in experimental materials under two different conditions,normal water and drought.Besides,it presents normal distribution and shows significant or over significant positive correlation between characters.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".