Transgressive variants for red pericarp grain with high yield potential derived from Oryza rufipogon×Oryza sativa: Field evaluation, screening for blast disease, QTL validation and background marker analysis for agronomic traits

Field Crops Research

Volumn 121, Issue 2, 2011, Pages 232-239

  Bhuiyan, M A R ^a   Narimah, M K ^a   Rahim, H Abdul ^b   Abdullah, M Z ^c   Wickneswari, R ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b MALAYSIAN NUCLEAR AGENCY   (Malaysia)

^c UNIVERSITI MALAYSIA TERENGGANU   (Malaysia)

Author keywords

Background marker analysis; Oryza rufipogon; Oryza sativa; Quantitative trait loci; Red pericarp; Trait based marker analysis; Transgressive variants

Indexed keywords

AGRONOMY; ALLELE; CROP YIELD; CULTIVAR; FUNGUS; HIGH YIELDING VARIETY; PHENOTYPE; RICE; VARIANCE ANALYSIS;

MAGNAPORTHE; MAGNAPORTHE ORYZAE; ORYZA; ORYZA RUFIPOGON; ORYZA SATIVA;

EID: 79951581796     PISSN: 03784290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fcr.2010.12.012     Document Type: Article

References (44)

1. Acuna T.L.B., Lafitte R., Wade L.J. Genotype×environment interactions for grain yield of upland backcross lines in diverse hydrological environments. Field Crops Res. 2008, 108:117-125.
2. van Berloo R. GGT 2.0: versatile software for visualization and analysis of genetic data. J. Hered. 2008, 109:1-5.
3. Bocchi S., Vandoni G., Maggiore T. Morphological and physiological characterization of red rice. Rivista di Agronomia 2002, 36:157-162.
4. Brondani C., Rangel P.H.N., Brondani R.P.V., Ferreira M.E. QTL mapping and introgression of yield related traits from Oryza glumaepatula to cultivated rice (Oryza sativa) using microsatellite markers. Theor. Appl. Genet. 2002, 104:1192-1203.
5. Correa-Victoria F.J., Zeigler R.S. Pathogenic variability in Pyricularia grisae at a rice blast " hot spot" breeding site in Eastern Colombia. Plant Dis. 1993, 77:1029-1035.
6. Diarra A., Smith J.R., Talbert R.E. Growth and morphological characteristics of red rice (Oryza sativa) biotypes. Weed Sci. 1985, 33:310-314.
7. Foolad M.R., Jones R.A. Mapping salt tolerance genes in tomato (Lycopersicon esculentum) using trait-based marker analysis. Theo. Appl. Genet. 1993, 87:184-192.
8. Furukawa T., Maekawa M., Oki T., Suda I., Shimada H., Takamure I., Kadowaki K.-I. The Rc and Rd genes are involved in proanthocyanidin synthesis in rice pericarp. Plant J. 2007, 49:91-102.
9. Fujita D., Santos R.E., Ebron L.A., Telebanco-Yanoria M.J., Kato H., Kobayashi S., Uga Y., Araki E., Takai T., Tsunematsu H., Imbe T., Khush G.S., Brar D.S., Fukuta Y., Kobayashi N. Development of introgression lines of an Indica-type rice variety, IR64, for unique agronomic traits and detection of the responsible chromosomal regions. Field Crops Res. 2009, 114:244-254.
10. Fulton T.M., Grandillo S., Beck B.T., Fridman E., Frampton A., Lopez J., Petiard V., Uhlig J., Zamir D., Tanksley S.D. Advanced backcross QTL analysis of a Lycopersicon esculentum×Lycopersicon perviforum cross. Theor. Appl. Genet. 2000, 100:1025-1042.
11. Gomez K.A., Gomez A.A. Statistical Procedure for Agricultural Research 1976, John Wiley & Sons, New York.
12. Gopalkrishnan S., Sharma R.K., Anand Rajkumar K., Josheph M., Singh V.P., Singh A.K., Bhat K.V., Singh N.K., Mohapatra T. Integrating marker assisted background analysis with foreground selection for identification of superior bacterial blight resistant recombinants in Basmati rice. Plant Breed 2008, 127:131-139.
13. Hittalmani S., Huanh N., Courtois B., Venuprasad R., Shshidhar H.E., Zhuang J.Y., Zheng K.L., Liu G.F., Wang G.C., Sidhu J.S., Srivantaneeyakul S., Singh V.P., Bagali P.G., Prasanna H.C., McLaren G., Khush G.S. Identification of QTL for growth and grain yield related traits in rice across nine locations of Asia. Theor. Appl. Genet. 2003, 107:679-690.
14. Huang C.L., Hwang S.Y., Chiang Y.C., Lin T.P. Molecular evolution of the Pi-ta gene resistant to rice blast in wild (Oryza rufipogon). Genetics 2007, 179:1527-1538.
15. International Rice Research Institute (IRRI), 1996. Standard Evaluation System for Rice, 4th ed., Manila, Philippines.
16. Jia Y., Bryan G.T., Farrall L., Valent B. Natural variation at the Pita rice blast resistance locus. Phytopathology 2003, 93:1452-1459.
17. Lim, L.S., 2007. Identification of quantitative trait loci for agronomic traits in an advanced backcross population between Oryza rufipogon Griff. and the Oryza sativa L. cultivar MR219. PhD Dissertation. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
18. Lin F.H., Wu Y.L. Relationships between harvest index and grain yield of rice in Taiwan. J. Agric. Assoc. China 1981, 115:33-41.
19. Ling W.H., Cheng Q.H., Ma J., Wang T. Red and black rice decrease atherosclerotic plaque formation and increase antioxidant status in rabbits. J. Nutr. 2001, 131:1421-1426.
20. Martinez C.P., Tohme J., Borrero J., Lopez J., McCouch S.R., Almeida A. Identification and utilization of genes from wild rice germplasm for the improvement of yield and stress resistance. Proceedings of 27th Rice Technical Working Group 1998, 57. The Texas A & M University System, College Station.
21. Matus I., Corey A., Filchkin T., hays P.M., Vales M.I., Kling J., Riera-Lizarazu O., Sato K., Powell W., Waugh R. Development and characterization of recombinant chromosome substitution lines (RCSLs) using Hordeum vulgare subsp. Spontaneum as a source of donor alleles in a Hordeum vulgare subsp. background. Genome 2003, 46:1010-1023.
22. McCouch S.R., Megan S., Jiming L., Hui J., Michael T., Endang S., Jeremy E., Pilar M., Jinhua X., Amanda G., Tom T., Cesar M., Joe T., Sugiono M., Anna M., Long Ping Y., Sang-Nang A. Through the genetic bottleneck: O.rufipogon as a source of trait-enhancing alleles for O. sativa. Euphytica 2007, 154:317-339.
23. Mehetre S.S., Mahajan C.R., Patil P.A., Lad S.K., Dhumal P.M. Variability, heritability, correlation, path analysis, and genetic divergence studies in upland rice. IRRN 1994, 19:8-9.
24. 2 population evaluated in an upland environment. Theor. Appl. Genet. 2001, 102:41-52.
25. Murray M., Thompson W.F. Rapid isolation of high molecular weight plant DNA. Nucleic Acid Res. 1980, 8:4321-4325.
26. Oad F.C., Samo F.A., Hassan Z.U., Pompe S.C., Oad N.L. Correlation and Path analysis of quantitative characters of rice ratoon cultivars and advance lines. Int. J. Agric. Biol. 2002, 4:204-207.
27. Oki T., Masuda M., Kobayashi M., Nishiba Y., Furuta S., Suda I., Sato T. Ploymeric procyanidins as radicle-scavenging components in red hulled rice. J. Agric. Food Chem. 2002, 50:7524-7529.
28. Ou S.H. Rice Diseases 1985, Common Wealth Mycological Institute, Kew, UK. 2nd ed.
29. Panaud O., Chen X., McCouch S.R. Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.). Mol. Gen. Genet. 1996, 252:597-607.
30. Patindol J. Comparison of physicochemical properties and starch structure of red rice and cultivated rice. J. Agric. Food Chem. 2006, 54:2712-2718.
31. Pillen K., Zacharias A., Leon J. Comparative AB-QTL analysis in barley using a single exotic donor of Hordeum vulgare ssp. spontaneum. Theor. Appl. Genet. 2004, 108:1591-1601.
32. Sabu K.K., Abdullah M.Z., Lim L.S., Wickneswari R. Development and evaluation of advanced backcross families of rice for agronomically important traits. Commun. Biometry Crop Sci. 2006, 1:111-123.
33. 4 progeny. Crop Sci. 2003, 43:120-128.
34. Samonte S.O.P.B., Wilson L.T., McClung A.M. Path analyses of yield and yield-related traits of fifteen diverse rice genotypes. Crop Sci. 1998, 38:1130-1136.
35. SAS Institute Inc. SAS Procedures Guide. Release 9.1.3 2003, SAS Institute Inc., Cary, NC.
36. Septiningisih E.M., Prasetiyono J., Lubis E., Tai T.H., Tjubaryat T., Moeljopawiro S., McCouch S.R. Identification of quantitative trait loci for yield and yield components in an advance backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon. Theor. Appl. Genet. 2003, 107:1419-1432.
37. Stuber C.W., Moll R.H., Goodman M.M., Schaffer H., Weir B.S. Allozyme frequency changes associated with selection for increased grain yield in maize. Genetics 1980, 95:225-236.
38. Surek H., Korkut Z.K., Bilgin O. Correlation and path analysis for yield and yield components in rice in 8-parent half diallel set of crosses. Oryza 1998, 35:15-18.
39. Sweeney M.T., Thomson M.J., Pfeil B.E., McCoouch S.R. Caught red-handed: Rc encodes a basic helix-loop-helix protein conditioning red pericarp rice. Plant Cell 2006, 18:283-294.
40. Talbot N.J. On the trail of a cereal killer: exploring the biology of Magnaporthe grisae. Annu. Rev. Microbiol. 2003, 57:177-202.
41. Thomson M.J., Tai T.H., McClung A.M., Hinga M.E., Lobos K.B., Xu Y., Martinez C., McCouch S.R. Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson. Theor. Appl. Genet. 2003, 107:479-493.
42. Tian F., Li D.J., Fu Q., Zhu Z.F., Fu Y.C., Wang X.K., Sun C.Q. Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits. Theor. Appl. Genet. 2006, 112:570-580.
43. Von korff M., Wang H., Leon J., Pillen K. Development of candidate introgression lines using an exotic barley accession (Hordeum vulgare ssp. spontaneum) as donor. Theor. Appl. Genet. 2004, 109:1736-1745.
44. Xiao J., Li J., Grandillo S., Ahn S.N., Yuan L., Tanksley S.D., McCouch S.R. Identification of trait-improving quantitative trait loci alleles from a wild rice relative, Oryza rufipogon. Genetics 1998, 150:899-909.