Hostname: page-component-8448b6f56d-qsmjn Total loading time: 0 Render date: 2024-04-24T14:45:03.710Z Has data issue: false hasContentIssue false
  • English
  • Français

Molecular and morphological diversity in Japanese rice germplasm

Published online by Cambridge University Press:  15 March 2011

Fátima Bosetti ,
Maria Imaculada Zucchi  and
José Baldin Pinheiro
Fátima Bosetti*
Affiliation:
Luiz de Queiroz College of Agriculture, University of São Paulo – ESALQ/USP, Piracicaba, Brazil
Maria Imaculada Zucchi
Affiliation:
Agronomic Institute of Campinas – IAC, Campinas, Brazil
José Baldin Pinheiro*
Affiliation:
Luiz de Queiroz College of Agriculture, University of São Paulo – ESALQ/USP, Piracicaba, Brazil
*
*Corresponding authors. E-mail: fatima@esalq.usp.br; baldin@esalq.usp.br
*Corresponding authors. E-mail: fatima@esalq.usp.br; baldin@esalq.usp.br
Get access Rights & Permissions [Opens in a new window]

Abstract

Germplasm molecular and phenotypic characterization is instrumental to its utilization and to genetic variability incorporation into rice breeding programmes. The diversity within 192 Japanese rice accessions was analysed for 22 agro-morphological traits and 24 single sequence repeat markers. A total of 181 alleles were detected, 38 of which were exclusive. The number of alleles/marker ranged from 2 to 16, with an average of 7.54 alleles/locus and the He value ranged from 0.01 to 0.82, with an average of 0.46. The accessions showed diversity at molecular and phenotypic level and few showed also good agronomic performance. Tocher's method applied on a total-dissimilarity matrix was used to determine cluster formation of 13 diversity groups. Most of the accessions (81%) were clustered within a group, whereas eight accessions (Kyuushuu, Eika Ine, Ishiwari Mochi, Col/Fukui/1965, Ookuma Nishiki, Suzume Shirazu, Iwate Ryoon and Toga) did not cluster with other accessions.

Keywords

germplasmmolecular markersmorphological traitsmultivariate analysesOryza sativa
Type
Research Article
Information
Plant Genetic Resources , Volume 9 , Issue 2 , July 2011 , pp. 229 - 232
Copyright
Copyright © NIAB 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bioversity International, IRRI and WARDA (2007) Descriptors for wild and cultivated rice (Oryza spp.) Bioversity International, Rome, Italy; International Rice Research Institute, Los Baños, Philippines; WARDA, Africa Rice Center, Cotonou, Benin.Google Scholar
Bramardi, SJ, Bernet, GP, Asíns, MJ and Carbonell, EA (2005) Simultaneous agronomic and molecular characterization of genotypes via the generalized procrustes analysis: an application to cucumber. Crop Science 45: 1603–1609.CrossRefGoogle Scholar
Brondani, C, Borba, TCO, Brunes, T, Rangel, PHN and Brondani, RPV (2006) Determination of genetic variability of traditional varieties of Brazilian rice using microsatellite markers. Genetics and Molecular Biology 29: 676–684.CrossRefGoogle Scholar
Crossa, J and Franco, J (2004) Statistical methods for classifying genotypes. Euphytica 137: 19–37.CrossRefGoogle Scholar
Cruz, CD (2008) Programa Genes – Diversidade Genética. Viçosa: Editora UFV, p. 278.Google Scholar
Franco, J, Crossa, J, Ribaut, JM and Betran, J (2001) A method for combining molecular markers and phenotypic attributes for classifying plant genotypes. Theoretical and Applied Genetics 103: 944–952.CrossRefGoogle Scholar
IBPGR-IRRI Rice Advisory Committee(1980) Descriptors for rice (Oryza sativa L.) p. 21.Google Scholar
Lu, H, Redus, MA, Coburn, JR, Rutger, JN, Mccouch, SR and Tai, TH (2005) Population structure and breeding patterns of 145 U.S. rice cultivars based on SSR marker analysis. Crop Science 45: 66–76.CrossRefGoogle Scholar
McCouch, SR (2005) Diversifying selection in plant breeding. Plos Biology 2: 1507–1512.Google Scholar
Tanksley, SD and McCouch, SR (1997) Seed banks and molecular maps: unlocking genetic potential from the wild. Science 277: 1063–1066.CrossRefGoogle ScholarPubMed
Thomson, MJ, Septiningsih, EM, Suwardjo, F, Santoso, TJ, Silitonga, TS and Mccouch, SR (2007) Genetic diversity analysis of traditional and improved Indonesian rice (Oryza sativa L.) germplasm using microsatellite markers. Theoretical and Applied Genetics 114: 559–568.CrossRefGoogle ScholarPubMed
Yu, SB, Xu, WJ, Vijayakumar, CHM, Ali, J, Fu, BY, Xu, JL, Jiang, YZ, Marghirang, R, Domingo, J, Aquino, C, Virmani, SS and Li, ZK (2003) Molecular diversity and multilocus organization of the parental lines used in the International Rice Molecular Breeding Program. Theoretical and Applied Genetics 108: 131–140.CrossRefGoogle ScholarPubMed
Supplementary material: File

Bosetti Supplementary Material

Bosetti Supplementary Material

Download Bosetti Supplementary Material(File)
File 102.4 KB