Identification of quantitative trait loci for grain quality in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon
- PMID: 14513216
- DOI: 10.1007/s00122-003-1376-z
Identification of quantitative trait loci for grain quality in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon
Abstract
The objective of this study was to identify quantitative trait loci (QTLs) associated with grain quality in rice. Two hundred eighty-five BC(2)F(2 )families developed from an interspecific cross between cv IR64 and Oryza rufipogon (IRGC 105491) were evaluated for 14 seed quality traits. A total of 165 markers consisting of 131 single sequence repeats and 34 restriction fragment length polymorphism markers were used to create a genetic linkage map spanning the 12 rice chromosomes. Twenty-three independent QTLs were identified using single point analysis, interval mapping, and composite interval mapping. These loci consisted of one QTL for filled rough/total rough rice ratio, two for grain density, one for percentage of de-husked rice grains, two for percentage of green rice grains, three for percentage of damaged-yellow rice grains, two for percentage of red rice grains, one for milled rice recovery, three for head rice recovery, four for broken rice grains, two for crushed rice grains, one for amylose content, and one for gel consistency. For most of the QTLs identified in this study, the O. rufipogon-derived allele contributed an undesirable effect. For amylose content and gel consistency, the O. rufipogon allele may be useful in an IR64 background, depending on the cultural preferences of the consumer. Careful selection against the regions associated with negative effects will be required to avoid unwanted grain quality characteristics during the development of improved varieties for yield and yield components using introgressions from O. rufipogon.
Similar articles
-
Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon.Theor Appl Genet. 2003 Nov;107(8):1419-32. doi: 10.1007/s00122-003-1373-2. Epub 2003 Sep 26. Theor Appl Genet. 2003. PMID: 14513215
-
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 Aug;107(3):479-93. doi: 10.1007/s00122-003-1270-8. Epub 2003 May 8. Theor Appl Genet. 2003. PMID: 12736777
-
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 Feb;112(3):570-80. doi: 10.1007/s00122-005-0165-2. Epub 2005 Dec 6. Theor Appl Genet. 2006. PMID: 16331476
-
Relationship between High Temperature and Formation of Chalkiness and Their Effects on Quality of Rice.Biomed Res Int. 2018 Apr 1;2018:1653721. doi: 10.1155/2018/1653721. eCollection 2018. Biomed Res Int. 2018. PMID: 30065932 Free PMC article. Review.
-
Prospects of breeding high-quality rice using post-genomic tools.Theor Appl Genet. 2015 Aug;128(8):1449-66. doi: 10.1007/s00122-015-2537-6. Epub 2015 May 21. Theor Appl Genet. 2015. PMID: 25993897 Review.
Cited by
-
Regulation of OsPIL15 on rice quality.Mol Breed. 2022 Jun 29;42(7):39. doi: 10.1007/s11032-022-01311-x. eCollection 2022 Jul. Mol Breed. 2022. PMID: 37313503 Free PMC article.
-
High-resolution quantitative trait locus mapping for rice grain quality traits using genotyping by sequencing.Front Plant Sci. 2023 Jan 12;13:1050882. doi: 10.3389/fpls.2022.1050882. eCollection 2022. Front Plant Sci. 2023. PMID: 36714703 Free PMC article.
-
Comparison of the Phenotypic Performance, Molecular Diversity, and Proteomics in Transgenic Rice.Plants (Basel). 2022 Dec 29;12(1):156. doi: 10.3390/plants12010156. Plants (Basel). 2022. PMID: 36616286 Free PMC article.
-
Identification of volatile organic compounds related to the eating quality of cooked japonica rice.Sci Rep. 2022 Oct 28;12(1):18133. doi: 10.1038/s41598-022-21863-4. Sci Rep. 2022. PMID: 36307468 Free PMC article.
-
Genotyping-by-Sequencing Based Investigation of Population Structure and Genome Wide Association Studies for Seven Agronomically Important Traits in a Set of 346 Oryza rufipogon Accessions.Rice (N Y). 2022 Jul 12;15(1):37. doi: 10.1186/s12284-022-00582-4. Rice (N Y). 2022. PMID: 35819660 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
