Morphological and molecular analyses in micropropagated berry plants acclimatized under ex vitro condition
Bibliographic record
Abstract
Debnath, S. C., Vyas, P., Goyali, J. C. and Igamberdiev, A. U. 2012. Morphological and molecular analyses in micropropagated berry plants acclimatized under ex vitro condition. Can. J. Plant Sci. 92: 1065–1073. Berry crops include, but are not limited to, the members of the genera Fragaria (strawberry; Rosaceae), Rubus (brambles: raspberry and blackberry; Rosaceae), Vaccinium (blueberry, cranberry and lingonberry; Ericaceae) and Ribes (currant and gooseberry; Grossulariaceae). While berry fruits have long enjoyed huge popularity among consumers, tremendous progress in plant tissue culture, resulting in great advances in micropropagation, has occurred. The in vitro morphogenesis seems to be highly dependent on plant growth regulators and media used for culture, which is again genotype specific. Although automation of micropropagation in bioreactors has been advanced as a possible way of reducing the cost of propagation, optimal plant production depends on better understanding of physiological and biochemical responses of plants to the signals of the culture microenvironment and an optimization of specific physical and chemical culture conditions to control the morphogenesis of berry plants in liquid culture systems. Increased branching, vigorous vegetative growth and change in biochemical components are often noted in micropropagated plants acclimatized under ex vitro condition. Clonal fidelity can be a serious problem and strategies have been developed to reduce the variation to manageable levels. Molecular markers have been introduced in tissue culture research and can potentially be used in various facets of pertinent studies with berry crops. This paper describes in depth the progress of various aspects of berry propagation in vitro, the characterization of micropropagated berry plants for morphological characters, and the employment of molecular markers in these plants for the assessment of genetic fidelity, uniformity, stability and trueness-to-type among donor plants and tissue culture regenerants.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".