9783848406975 - morphological and molecular characterization of tgms lines in rice: correlation between morphological and ssr based characterization of tgms lines in rice di singh, vikas kumar (4 risultati)
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Taschenbuch. Condizione: Neu. Morphological and Molecular Characterization of TGMS Lines in Rice | Correlation between morphological and SSR based characterization of TGMS lines in rice | Vikas Kumar Singh | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848406975 | Verantwortliche Person für die EU: preigu G…mbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh Vikas KumarVikas K Singh started his research work in 2003 from AAI-DU, Allahabad and 2004 from DRR, Hyderabad as M.Sc Research Scholar. In 2005 he joined IISR, Lucknow a…s JRF, Further he joined as SRF in the Division of Geneti.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A set of morphological traits and SSR markers were used to determine the genetic relationship among 12 elite thermosensitive genic male sterile (TGMS) lines developed at three different research institutions of India. Agro-morphological… data recorded on 20 morphological traits revealed a wide base of genetic variation and a set of four morphological traits could distinguish most of the TGMS lines. Analysis with 30 SSR markers (20 EST-SSRs and 10 genomic SSRs) revealed 27 markers to be polymorphic, amplifying a total of 83 alleles. Each SSR marker amplified 2 6 alleles with an average of 2.76 alleles per marker and a PIC value varying from 0.54 to 0.96. Cluster analysis based on SSR and morphological data clearly differentiated the lines according to their source of origin. Correlation analysis between morphological and molecular data revealed a very poor association (r = 0.06), which could be attributed to selection pressure, genetic drift, sampling error and unknown relationship among related lines.
