Mapping quantitative trait loci in selected breeding populations: A segregation distortion approach

Heredity

Volumn 115, Issue 6, 2015, Pages 538-546

  Cui, Y ^a,b   Zhang, F ^a   Xu, J ^a   Li, Z ^a   Xu, S ^b  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREEDING POPULATION; GENETIC MARKER; GENETIC VARIATION; LITERATURE REVIEW; POPULATION SIZE; QUALITATIVE ANALYSIS; SELECTION;

ANIMALIA;

PLANT DNA;

BIOLOGICAL MODEL; CHROMOSOMAL MAPPING; COMPUTER SIMULATION; GENETIC SELECTION; GENETICS; ORYZA; PLANT BREEDING; POPULATION GENETICS; QUANTITATIVE TRAIT LOCUS; SELECTIVE BREEDING;

CHROMOSOME MAPPING; COMPUTER SIMULATION; DNA, PLANT; GENETICS, POPULATION; MODELS, GENETIC; ORYZA; PLANT BREEDING; QUANTITATIVE TRAIT LOCI; SELECTION, GENETIC; SELECTIVE BREEDING;

EID: 84947028264     PISSN: 0018067X     EISSN: 13652540     Source Type: Journal    
DOI: 10.1038/hdy.2015.56     Document Type: Article

References (27)

1. Ashikari M, Sakakibara H, Lin S, Yamamoto T, Takashi T, Nishimura A (2005). Cytokinin oxidase regulates rice grain production. Science. 309: 741-745.
2. Collard BC, Mackill DJ (2008). Marker-Assisted selection: an approach for precision plant breeding in the twenty-first century. Phil Trans R Soc Lond B Biol Sci. 363: 557-572.
3. Darvasi A, Soller M (1992). Selective genotyping for determination of linkage between a marker locus and a quantitative trait locus. Theor Appl Genet. 85: 353-359.
4. Dempster AP, Laird NM, Rubin DB (1977). Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc B. 39: 1-38.
5. Falconer DS, Mackay TFC (1996). Introduction to Quantitative Genetics. Addison Wesley Longman: Harlow, Essex, UK.
6. Francia E, Tacconi G, Crosatti C, Barabaschi D, Bulgarelli D, Dall'Aglio E, Valè G (2005). Marker assisted selection in crop plants. Plant Cell Tissue Organ Cult. 82: 317-342.
7. Fu YB, Ritland K (1994). On estimating the linkage of marker genes to viability genes-controlling inbreeding depression. Theor Appl Genet. 88: 925-932.
8. Hermisson J, Wagner GP (2004). The population genetic theory of hidden variation and genetic robustness. Genetics. 168: 2271-2284.
9. Jiang C, Zeng ZB (1997). Mapping quantitative trait loci with dominant and missing markers in various crosses from two inbred lines. Genetica. 101: 47-58.
10. Lander ES, Botstein D (1989). Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics. 121: 185-199.
11. Li ZK, Fu BY, Gao YM, Xu JL, Ali J, Lafitte HR, et al (2005). Genome-wide introgression lines and their use in genetic and molecular dissection of complex phenotypes in rice (Oryza sativa L). Plant Mol Biol. 59: 33-52.
12. Li Z, Zhang F (2013). Rice breeding in the post-genomics era: from concept to a practice. Curr Opin Plant Biol. 16: 261-269.
13. Lorieux M, Goffinet B, Perrier X, León DG, Lanaud C (1995). Maximum-likelihood models for mapping genetic markers showing segregation distortion. 1. Backcross populations. Theor Appl Genet. 90: 73-80.
14. Luo L, Xu S (2003). Mapping viability loci using molecular markers. Heredity. 90: 459-467.
15. Luo L, Zhang YM, Xu S (2005). A quantitative genetics model for viability selection. Heredity. 94: 347-355.
16. Lynch M, Walsh B (1998). Genetics and Analysis of Quantitative Traits. Sinauer Associates, Inc.: Sunderland, MA.
17. McGilchrist CA (1994). Estimation in generalized mixed models. J R Stat Soc B. 56: 61-69.
18. Miah G, Rafii MY, Ismail MR, Puteh AB, Rahim HA, Islam Kh N, Latif MA (2013). A review of microsatellite markers and their applications in rice breeding programs to improve blast disease resistance. Int J Mol Sci. 14: 22499-22528.
19. Vogl C, Xu SZ (2000). Multipoint mapping of viability and segregation distorting loci using molecular markers. Genetics. 155: 1439-1447.
20. Venuprasad R, Bool ME, Dalid CO, Bernier J, Kumar A, Atlin GN (2009). Genetic loci responding to two cycles of divergent selection for grain yield under drought stress in a rice breeding population. Euphytica. 167: 261-269.
21. Wang Z, Cheng J, Chen Z, Huang J, Bao Y, Wang J, Zhang H (2012). Identification of QTLs with main, epistatic and QTL x environment interaction effects for salt tolerance in rice seedlings under different salinity conditions. Theor Appl Genet. 125: 807-815.
22. Weng J, Gu S, Wan X, Gao H, Guo T, Su N, et al (2008). Isolation and initial characterization of GW5, a major QTL associated with rice grain width and weight. Cell Res. 18: 1199-1209.
23. Weng X, Wang L, Wang J, Hu Y, Du H, Xu C, et al (2014). Grain number, plant height, and heading date7 is a central regulator of growth, development, and stress response. Plant Physiol. 164: 735-747.
24. Zhan H, Xu S (2011). Generalized linear mixed model for segregation distortion analysis. BMC Genet. 12: 97.
25. Zhang H, Wang H, Qian Y, Xia J, Li Z, Shi Y, et al (2013). Simultaneous improvement and genetic dissection of grain yield and its related traits in a backbone parent of hybrid rice (Oryza sativa L) using selective introgression. Mol Breed. 31: 181-194.
26. Zhang F, Zhai H, Paterson A, Xu J, Gao Y, Zheng T, et al (2011). Dissecting genetic network underlying complex phenotypes: the theoretical framework. PloS One. 6: e14541.
27. Zhang F, Ma X, Gao Y, Hao X, Li Z (2014). Genome-wide response to selection and genetic basis of cold tolerance in rice (Oryza sativa L). BMC Genet. 15: 55.