Association between microsatellites and resistance to Mal de Río Cuarto in maize by discriminant analysis;Asociación entre microsatélites y resistencia a Mal de Río Cuarto mediante análisis discriminante

Phyton-International Journal of Experimental Botany

Volumn 79, Issue , 2010, Pages 31-38

  Bonamico, N C ^a   Balzarini, M G ^b   Arroyo, A T ^b   Ibanez M A ^a   Diaz D G ^c   Salerno, J C ^c   di Renzo, M A ^a  

^a DEPARTAMENTO DE QUÍMICA   (Argentina)

^b UNIVERSIDAD NACIONAL DE CÓRDOBA   (Argentina)

^c INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA INTA   (Argentina)

Author keywords

Discriminant analysis; Maize; Mal de R o Cuarto; Microsatellite

Indexed keywords

ZEA MAYS;

EID: 79954494443     PISSN: 00319457     EISSN: 18515657     Source Type: Journal    
DOI: None     Document Type: Article

References (33)

1. Ajmone-Marsan, P., G. Monfredini, A. Brandolini, A.E. Melchinger, G. Garay & M. Motto (1996). Identification of QTL for grain yield in an elite hybrid of maize: Repeatability of map position and effects in independent samples derived from the same population. Maydica 41: 49-57.
2. Aluko, G.K. (2003). Genetic mapping of agronomic traits from the interspecific cross of Oryza sativa (L.) and Oryza glaberrima (Steud). PhD Thesis, Louisiana State University, Baton Rouge, LA, USA.
3. Alwala, S. (2007). Identification of molecular markers associated with resistance to Aspergillus flavus in maize. MSc Thesis, Louisiana State University, Baton Rouge, LA, USA.
4. Beavis, W.D. & O.S. Smith (1994). Identification of quantitative trait loci using a small sample of topcrossed and F4 progeny from maize. Crop Science 34: 882-896.
5. Burr, B. & F.A. Burr (1991). Recombinant inbreeds for molecular mapping in maize: theoretical and practical considerations. Trends in Genetics 7: 55-60.
6. Capdevielle, F.M. (2001). Evaluation of discriminant analysis procedure combining agronomic and molecular marker information for germplasm improvement in rice. MSc Thesis, Louisiana State University, Baton Rouge, LA, USA.
7. Capdevielle, F.M., G.K. Aluko, M. Balzarini & J.H. Oard (2000). Application of molecular markers and discriminant analysis to identify rice lines with contrasting phenotypes for agronomic traits. In: Proceedings of the Fourth International Rice Genetics Symposium, International Rice Research Institute (Eds G. S. Khush, D. S. Brar & B. Hardy), 216 p. Los Baños, Philippines.
8. Capdevielle, F.M., G.K. Aluko, S.R.M. Pinson, B. Fjellstrom, M. Balzarini, N. Zhang & J.H. Oard (2001). Application of discriminant analysis using molecular markers for classification of rice lines into sheath blight and blast resistance groups: a comparison with QTL interval analysis. In IX Conference, Plant & Animal Genome, 382 p. San Diego, CA, USA.
9. Di Renzo, M.A., N.C. Bonamico, D.G. Díaz, J.C. Salerno, M.A. Ibañez & J.J. Gesumaría (2002). Inheritance of resistance to Mal de Río Cuarto (MRC) disease in Zea mays (L.). Journal of Agricultural Science, Cambridge 13: 47-53.
10. Di Renzo, M.A., N.C. Bonamico, D.G. Díaz, M.A. Ibañez, M.E. Faricelli, M.G. Balzarini & J.C. Salerno (2004). Microsatellite markers linked to QTL for resistance to Mal de Río Cuarto disease in Zea mays L. Journal of Agricultural Science, Cambridge 142: 289-295.
11. Excoffier, L., P.E. Smouse & J.M. Quattro (1992). Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131: 479-491.
12. Fahima, T., M.S. Roder, K. Wendehake, V.M. Kirzhner & E. Nevo (2002). Microsatellite polymorphism in natural populations of wild emmer wheat, Triticum dicoccoides, in Israel. Theoretical Applied Genetics 104: 17-29.
13. Fisher, R.A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics 7: 179-188.
14. Kreff, E.D., M.G. Pacheco, D.G. Díaz, C.G. Robredo, D. Puecher, A. Céliz & J.C. Salerno (2006). Resistance to Mal de Río Cuarto Virus in maize: A QTL analysis. Journal of Basic and Applied Genetics 17: 41-50.
15. Li, S.B., Z.H. Zhang, H. Ying, C.Y. Li, J. Xuan, M. Ting, Y.S. Li & Y.G. Zhu (2006). Genetic dissection of developmental behavior of crop growth rate and its relationships with yield and yield related traits in rice. Plant Science 170: 911-917.
16. Lisec, J., R.C. Meyer, M. Steinfath, H. Redesting, M. Becher, H. Witucka-Wall, O. Fiehn, O, Törjék, J. Selbig, T. Altmann & L. Willmitzer (2008). Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations. The Plant Journal 53: 960-972.
17. Liu, B.H. (1998). Statistical Genomics: Linkage, Mapping, and QTL Analysis. CRC Press, Inc. Boca Raton, FL, USA.
18. Lübberstedt, T., C. Ingvardsen, A.E. Melchinger, Y. Xing, R. Salomon & M.G. Redinbaugh (2006). Two chromosome segments confer multiple potyvirus resistance in maize. Plant Breeding 125: 352-356.
19. Mcharo, M., D.R. Labonte, J.H. Oard, S.J. Kays & W.L. McLaurin (2004). Linking quantitative traits with AFLP markers in sweetpotato using discriminant analysis. Acta Horticulturae 637: 285-293.
20. Mcharo, M., D.R. Labonte, C. Clark, M. Hoy & J.H. Oard (2005). Molecular marker variability for southern root-knot nematode resistance in sweetpotato. Euphytica 144, 125-132.
21. McMullen, M.D. & K.D. Simcox (1995). Genomic organization of disease and insect resistance genes in maize. Molecular Plant- Microbe Interactions 8: 811-815.
22. Melchinger, A.E., H.F. Utz & C.C. Schön (1998). Quantitative trait locus (QTL) mapping using different testers and independent population sample in maize reveals low power of QTL detection and large bias in estimates of QTL effects. Genetics 149: 383-403.
23. Miano, D.W. (2008). Replication of viruses responsible for sweet potato virus disease in resistant and susceptible sweetpotato genotypes and identification of molecular markers linked to resistance. PhD Thesis, Louisiana State University, Baton Rouge, LA, USA.
24. Miano, D.W., D.R. Labonte & C.A. Clark (2008). Identification of molecular markers associated with sweet potato resistance to sweet potato virus disease in Kenya. Euphytica 160: 15-24.
25. Nome, S.F., S.L. Lenardón, B.C. Raju, I.G. Laguna, S.K. Lowe & D.M. Docampo (1981). Association of reovirus-like particles with "Enfermedad de Río Cuarto" of maize in Argentina. Phytopathologie Zhurnal 101: 7-15.
26. Ornaghi, J., G. Boito, G. Sanchez, G. March & J. Beviacqua (1993). Studies on the populations of Delphacodes kuscheli Fennah in different years and agricultural areas. Journal of Genetics and Breeding 47: 277-282.
27. Ornaghi, J.A., G.J. March, G.T. Boito, A. Marinelli, J.E. Beviacqua, J. Giuggia & S.L. Lenardón (1999). Infectivity in natural populations of Delphacodes kuscheli vector of "Mal Río Cuarto" Virus. Maydica 44: 219-223.
28. Redinbaugh, M.G. & R.C Pratt (2009). Virus Resistance. In: Bennetzen J.L. & S.C. Hake (eds.), pp. 251-270. Handbook of Maize: Its Biology. Springer-Verlag, New York, USA.
29. Redinbaugh, M.G., M.W. Jones & R.E. Gingery (2005). The genetics of virus resistance in maize (Zea mays L.). Maydica 4: 183-190.
30. Saghai-Maroof, M., K. Soliman, R. Jorgensen & R. Allard (1984). Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. Proceeding of National Academy of Sciences of the United States of America 81: 8014-8018.
31. SAS Institute Inc. (2004). SAS/STAT User's Guide, Version 9.1. Cary, NC, USA.
32. Xu, M.L., A.E. Melchinger, X.C. Xia & T. Lübberstedt (1999). High-resolution mapping of loci conferring resistance to sugarcane mosaic virus in maize using RFLP, SSR, and AFLP markers. Molecular and General Genetics 261: 574-581.
33. Zhang, N., Y. Xu, M. Akash, S. McCouch & J.H. Oard (2005). Identification of candidate markers associated with agronomic traits in rice using discriminant analysis. Theoretical and Applied Genetics 110: 721-729.