Application of somaclonal variation and in vitro selection to plant improvement
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Somaclonal variability is a source of genetic diversity that breeders can use for the generation of new plants with superior economic traits.
“At the same time, somaclonal variability is a source of genetic diversity that breeders can use for the generation of new plants with superior economic traits [29,30,31,32].”
From Somaclonal Variation—Advantage or Disadvantage in Micropropagation of the Medicinal Plants (2023) · cites this paper as [30]
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Somaclonal Variation in Plants: Causes and Detection Methods
Bairu, M. W., Aremu, A. O., & Van Staden, J. (2011) · Plant Growth Regulation · doi:10.1007/s10725-010-9554-x · Cited by 674 · see citing works
Somaclonal Variation—Advantage or Disadvantage in Micropropagation of the Medicinal Plants
Duta-Cornescu, G., Constantin, N., Pojoga, D.-M., Nicuta, D., & Simon-Gruita, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24010838 · Cited by 108 · see citing works
- Authors
- Bouharmont, J.
- Corresponding author
- Bouharmont, J.
- Venue
- Acta Horticulturae
- Published
- 1994-02
- Issue
- 355
- Pages
- 213-218
- ISSN
- 0567-7572 (ISSN-L)
- 2406-6168
- OpenAlex
- W2591191644
- Cited by
- 14
- References
- 0
- Citations by year
- 2025: 1 · 2023: 3 · 2018: 2 · 2017: 1 · 2016: 1 · 2014: 1
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Acta Horticulturae (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Plant tissue culture and regeneration
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Genetic and Mutation Studies
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
- Keywords
- somaclonal variation, in vitro selection, plant improvement, micropropagation, plant breeding
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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