Molecular and morphological diversity in Japanese rice germplasm

被引:4
作者
Bosetti, Fatima [1 ]
Zucchi, Maria Imaculada [2 ]
Pinheiro, Jose Baldin [1 ]
机构
[1] Univ Sao Paulo, ESALQ USP, Luiz de Queiroz Coll Agr, Piracicaba, Brazil
[2] Agron Inst Campinas IAC, Campinas, SP, Brazil
来源
PLANT GENETIC RESOURCES-CHARACTERIZATION AND UTILIZATION | 2011年 / 9卷 / 02期
关键词
germplasm; molecular markers; morphological traits; multivariate analyses; Oryza sativa;
D O I
10.1017/S1479262111000360
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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 H-e 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.
引用
收藏
页码:229 / 232
页数:4
相关论文
共 12 条
[1]  
Bioversity International IRRI WARDA, 2007, DESCR WILD CULT RIC
[2]   Simultaneous agronomic and molecular characterization of genotypes via the generalised procrustes analysis:: An application to cucumber [J].
Bramardi, SJ ;
Bernet, GP ;
Asíns, MJ ;
Carbonell, EA .
CROP SCIENCE, 2005, 45 (04) :1603-1609
[3]   Determination of genetic variability of traditional varieties of Brazilian rice using microsatellite markers [J].
Brondani, Claudio ;
Oliveira Borba, Tereza Cristina ;
Nakano Rangel, Paulo Hideo ;
Vianello Brondani, Rosana Pereira .
GENETICS AND MOLECULAR BIOLOGY, 2006, 29 (04) :676-684
[4]   Statistical methods for classifying genotypes [J].
Crossa, J ;
Franco, J .
EUPHYTICA, 2004, 137 (01) :19-37
[5]  
Cruz C. D, 2008, PROGRAMA GENES DIVER, P278
[6]   A method for combining molecular markers and phenotypic attributes for classifying plant genotypes [J].
Franco, J ;
Crossa, J ;
Ribaut, JM ;
Betran, J ;
Warburton, ML ;
Khairallah, M .
THEORETICAL AND APPLIED GENETICS, 2001, 103 (6-7) :944-952
[7]  
*IBPGR IRRI RIC AD, 1980, DESCR RIC OR SAT L, P21
[8]   Population structure and breeding patterns of 145 US rice cultivars based on SSR marker analysis [J].
Lu, H ;
Redus, MA ;
Coburn, JR ;
Rutger, JN ;
McCouch, SR ;
Tai, TH .
CROP SCIENCE, 2005, 45 (01) :66-76
[9]   Diversifying selection in plant breeding [J].
McCouch, S .
PLOS BIOLOGY, 2004, 2 (10) :1507-1512
[10]   Seed banks and molecular maps: Unlocking genetic potential from the wild [J].
Tanksley, SD ;
McCouch, SR .
SCIENCE, 1997, 277 (5329) :1063-1066