Effects of different genotypes and gamma ray doses on haploidization with irradiated pollen technique in watermelon (<i>Citrullus lanatus</i> L.)
Bibliographic record
Abstract
Taşkın, H., Yücel, N. K., Baktemur, G., Çömlekçioğlu, S. and Büyükalaca, S. 2013. Effects of different genotypes and gamma ray doses on haploidization with irradiated pollen technique in watermelon ( Citrullus lanatus L.). Can. J. Plant Sci. 93: 1165–1168. Two watermelon genotypes, one commercial watermelon variety (Ustun F1) and five different doses of gamma rays coming from Co60 were tested to develop useful haploidization procedures in watermelon. For this purpose, male flowers collected a day before anthesis were irradiated with 50, 150, 200, 275 and 300 Gy doses of gamma rays, and female flowers were pollinated with irradiated pollen the next day. Seeds extracted from fruits harvested 25 d later were opened individually in a laminar flow hood. Embryos obtained via embryo rescue technique were placed in glass tubes containing CP medium with 30 g L−1 sucrose, 8 g L−1 agar, 0.08 mg L−1 B12, and 0.02 mg L−1 IAA. Sixty haploid embryos were obtained from 43 watermelon fruits in this study. Genotype 1 was found to be the most successful genotype with 3.57 haploid embryos per 100 seeds. Among tested irradiation doses, 275 Gy was better than other doses, with 5.26 haploid embryos per 100 seeds. Considered together with irradiation dose and genotypes, the maximum number of haploid embryos was obtained from Genotype 1 pollinated with 275 Gy irradiation dose, with 6.25 haploid embryos per 100 seeds.
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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 | 0.001 |
| 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".