Use of somatic embryogenesis in potato «Solanum tuberosum L.)» cv. Russet Burbank improvement
Bibliographic record
Abstract
'Russet Burbank', the most important potato in North America, was described as a putative periclinal mutation from 'Burbank' and has not parented outstanding cultivars. The current study aimed to: (1) investigate the present chimeral status of NB 'Russet Burbank' based on tuber periderm phenotype, (2) determine if yield and/or processing characteristics of NB 'Russet Burbank' could be improved through selection of intraclones, (3) determine whether pre-selected somaclones had sufficient variation in protein content (crude (CP), total soluble (TSP)), or resistance to Phytophthora infestans (US-8) to select for, and (4) examine long-term stability in protein content. Somatic embryogenesis technology was used to regenerate intraclones of the NB clone of 'Russet Burbank' potato. Approx. 800 intraclones were regenerated and field-tested from 2005 to 2007. At harvest, we selected somaclones with the greatest yield compared with NB 'Russet Burbank' control. Following storage, tubers of selected clones were tested for processing quality characteristics and protein content. Late blight resistance was examined in the greenhouse for 2 years. Results showed that most intraclones had tubers with russet periderm. About 4 % of intraclones had non-russet tubers and 21 % had patchy periderm. Presently, NB 'Russet Burbank' is not organized as periclinal chimera (Nassar et al. 2008). From 2-9 % of intraclones had superior reducing sugar characteristics. Two promising somaclones with good yield and reducing sugars were selected by industry for further evaluation. Molecular characterization is now needed for advanced somaclones with improved processing features. Somatic embryogenesis technology generated sufficient somaclonal variation for potential improvement of NB 'Russet Burbank' (Nassar et al. 2009a). One advanced somaclone had greater CP content than control in 2008. One somaclone had lesser TSP content for 3 consecuti
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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 | 0.001 |
| 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".