Cited by 29Plant tissue culture and regenerationGenetic Mapping and Diversity in Plants and AnimalsGenetic diversity and population structure

Application of Molecular Markers for the Assessment of Genetic Fidelity of In Vitro Raised Plants: Current Status and Future Prospects

Biswas, Pritom, Kumar, Nitish·2023·Molecular Marker Techniques

Integrity signals

Registry

Crossref · 10.1007/978-981-99-1612-2_12

Cites

122 of 122 references verified0 citation errors · 0 not checkable

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  • RFLP detects polymorphisms in DNA by analyzing changes in the length of restriction enzyme-digested fragments, providing high-resolution detection of mutations.

    “RFLP detects polymorphisms in DNA by analyzing changes in the length of restriction enzyme-digested fragments, providing high-resolution detection of mutations [117].”

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Authors
Biswas, P., & Kumar, N.
Affiliations
Central University of South Bihar (IN)
Corresponding author
Kumar, Nitish
Venue
Molecular Marker Techniques
Published
2023
Pages
233-256
OpenAlex
W4382565382
Cited by
29
References
122
Citations by year
2026: 13 · 2025: 11 · 2024: 3 · 2023: 2
FWCI
15.48
Type
book chapter
Language
en
Open access
closed
Locations
Springer eBooks (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Plant tissue culture and regeneration
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
Keywords
somaclonal variation, genetic fidelity, molecular markers, genetic stability, clonal propagation, restriction fragment length polymorphism, RAPD, AFLP, ISSR, microsatellite markers, SCAR markers, next-generation sequencing, plant tissue culture, Arabidopsis, Catharanthus, Stevia rebaudiana, bamboo

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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.

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