Analysis of QTLs Associated with the Rice Quality Related Gene by Double Haploid Populations
Joint Authors
Lee, Gyu-Ho
Yun, Byung-Wook
Kim, Kyung-Min
Source
International Journal of Genomics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We investigated the growth characteristics and analyzed the physicochemical properties of a doubled haploid population derived from a cross between “Cheongcheong” and “Nagdong” to breed a rice variety that tastes good after cooking and to detect quantitative trait loci (QTLs) associated with the taste of cooked rice.
The results showed that these compounds also represent a normal distribution.
Correlation analysis of the amylose, protein, and lipid contents indicated that each compound is related to the taste of cooked rice.
The QTLs related to amylose content were 4 QTLs, protein content was 2 QTLs, and lipid content was 2 QTLs.
Four of the QTLs associated with amylose content were detected on chromosomes 7 and 11.
The index of coincidence for the QTLs related to amylose, protein, and lipid content was 70%, respectively.
These markers showing high percentage of coincidence can be useful to select desirable lines for rice breeding.
American Psychological Association (APA)
Lee, Gyu-Ho& Yun, Byung-Wook& Kim, Kyung-Min. 2014. Analysis of QTLs Associated with the Rice Quality Related Gene by Double Haploid Populations. International Journal of Genomics،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1036695
Modern Language Association (MLA)
Lee, Gyu-Ho…[et al.]. Analysis of QTLs Associated with the Rice Quality Related Gene by Double Haploid Populations. International Journal of Genomics No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1036695
American Medical Association (AMA)
Lee, Gyu-Ho& Yun, Byung-Wook& Kim, Kyung-Min. Analysis of QTLs Associated with the Rice Quality Related Gene by Double Haploid Populations. International Journal of Genomics. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1036695
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036695