Dissecting the genetic architecture of agronomic traits in multiple segregating populations in rapeseed (Brassica napus L.)

Theoretical and Applied Genetics

Volumn 124, Issue 1, 2012, Pages 153-161

  Würschum, Tobias ^a   Liu, Wenxin ^a,b   Maurer, Hans Peter ^a   Abel, Stefan ^c   Reif, Jochen C ^a  

^a UNIVERSITY OF HOHENHEIM   (Germany)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

^c Limagrain GmbH ^*  (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AGRONOMIC TRAITS; ASSOCIATION MAPPING; BRASSICA NAPUS; FIELD TRIAL; FLOWERING-TIME; GENETIC ARCHITECTURE; GERMPLASMS; GLUCOSINOLATE CONTENTS; GRAIN YIELD; OIL CONTENTS; PLANT BREEDING PROGRAMS; PLANT HEIGHT; PROTEIN CONTENTS; QTL MAPPING;

AGRONOMY; MAPPING; OILSEEDS;

PLANTS (BOTANY);

ARTICLE; CHROMOSOME MAP; GENETIC LINKAGE; GENETICS; GENOTYPE; GROWTH, DEVELOPMENT AND AGING; PHENOTYPE; PLANT GENOME; QUANTITATIVE TRAIT LOCUS; RAPESEED;

BRASSICA NAPUS; CHROMOSOME MAPPING; GENETIC LINKAGE; GENOME, PLANT; GENOTYPE; PHENOTYPE; QUANTITATIVE TRAIT LOCI;

BRASSICA NAPUS;

EID: 84856043818     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-011-1694-5     Document Type: Article

References (38)

1. Becker HC, Löptien H, Röbbelen G (1999) Breeding: an overview. In: Gómez-Campo C (ed) Biology of Brassica coenospecies. Elsevier, Amsterdam, pp 413-460.
2. Blanc G, Charcosset A, Mangin B, Gallais A, Moreau L (2006) Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize. Theor Appl Genet 113: 206-224.
3. Chen G, Geng J, Rahman M, Liu X, Tu J et al (2010) Identification of QTL for oil content, seed yield, and flowering time in oilseed rape (Brassica napus). Euphytica 175: 161-174.
4. Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138: 963-971.
5. Cochran WG, Cox GM (1957) Experimental designs, 2nd edn. Wiley, New York.
6. Delourme R, Falentin C, Huteau V, Clouet V, Horvais R et al (2006) Genetic control of oil content in oilseed rape (Brassica napus L.). Theor Appl Genet 113: 1331-1345.
7. Ecke W, Uzunova M, Weißleder K (1995) Mapping the genome of rapeseed (Brassica napus L.). II. Localization of genes controlling erucic acid synthesis and seed oil content. Theor Appl Genet 91: 972-977.
8. Ecke W, Clemens R, Honsdorf N, Becker HC (2010) Extent and structure of linkage disequilibrium in canola quality winter rapeseed (Brassica napus L.). Theor Appl Genet 120: 921-931.
9. Flint-Garcia SA, Thornsberry JM, Buckler ES (2003) Structure of linkage disequilibrium in plants. Ann Rev Plant Biol 54: 357-374.
10. Gower JC (1966) Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53: 325-338.
11. Grami B, Stefansson BR (1977) Genetics of protein and oil content in summer rape: heritability, numbers of effective factors, and correlations. Can J Plant Sci 57: 937-943.
12. Hasan M, Friedt W, Pons-Kühnemann J, Freitag NM, Link K et al (2008) Association of gene-linked SSR markers to seed glucosinolate content in oilseed rape (Brassica napus ssp. napus). Theor Appl Genet 116: 1035-1049.
13. Hill WG, Robertson A (1968) Linkage disequilibrium in finite populations. Theor Appl Genet 38: 226-231.
14. Jansen RC, Stam P (1994) High resolution of quantitative traits into multiple loci via interval mapping. Genetics 136: 1447-1455.
15. Kimber DS, McGregor DI (1995) The species and their origin, cultivation and world production. In: Kimber D, McGregor DI (eds) Brassica oilseeds: production and utilization. CABI Publishing, Wallingford, pp 1-9.
16. Liu W, Gowda M, Steinhoff J, Maurer HP, Würschum T et al (2011) Joint linkage and association mapping in an elite maize breeding population and implications for genomic selection. Theor Appl Genet 123: 847-858. doi: 10. 1007/s00122-011-1631-7.
17. Lynch M, Walsh B (1998) Genetics and analysis of quantitative traits. Sinauer Associates, Sunderland.
18. Mahmood T, Rahman MH, Stringam GR, Yeh F, Good AG (2006) Identification of quantitative trait loci (QTL) for oil and protein contents and their relationship with other seed quality traits in Brassica juncea. Theor Appl Genet 113: 1211-1220.
19. Maurer HP, Melchinger AE, Frisch M (2008) Population genetic simulation and data analysis with Plabsoft. Euphytica 161: 133-139.
20. Mei DS, Wang HZ, Hu Q, Li YD, Xu YS et al (2009) QTL analysis on plant height and flowering time in Brassica napus. Plant Breed 128: 458-465.
21. Melchinger AE, Utz HF, Schön CC (1998) Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and larger bias in estimates of QTL effects. Genetics 149: 383-403.
22. Qiu D, Morgan C, Shi J, Liu R, Zhuang X et al (2006) A comparative linkage map of rapeseed and its use for QTL analysis of seed oil and erucic acid content. Theor Appl Genet 114: 67-80.
23. Reif JC, Liu W, Gowda M, Maurer HP, Möhring J et al (2010) Genetic basis of agronomically important traits in sugar beet (Beta vulgaris L.) investigated with joint linkage association mapping. Theor Appl Genet 8: 1489-1495.
24. Reif JC, Maurer HP, Korzun V, Ebmeyer E, Miedaner T et al (2011a) Mapping QTLs with main and epistatic effects underlying grain yield and heading time in soft winter wheat. Theor Appl Genet 123: 283-292.
25. Reif JC, Gowda M, Maurer HP, Longin CFH, Korzun V et al (2011b) Association mapping for quality traits in soft winter wheat. Theor Appl Genet 122: 961-970.
26. SAS Institute Inc (2008) SAS user's guide, version 9. 2. SAS Institute, Cary.
27. Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6: 461-464.
28. Smooker AM, Wells R, Morgan C, Beaudoin F, Cho K et al (2011) The identification and mapping of candidate genes and QTL involved in the fatty acid desaturation pathway in Brassica napus. Theor Appl Genet 122: 1075-1090.
29. Steinhoff J, Liu W, Maurer HP, Würschum T, Longin FH et al (2011) Multiple-line cross QTL-mapping in European elite maize. Crop Sci (accepted).
30. Utz HF, Melchinger AE, Schön CC (2000) Bias and sampling error of the estimated proportion of genotypic variance explained by quantitative trait loci determined from experimental data in maize using cross validation and validation with independent samples. Genetics 154: 1839-1849.
31. Uzunova M, Ecke W, Weißleder K, Röbbelen G (1995) Mapping the genome of rapeseed (Brassica napus L.). I. Construction of an RFLP linkage map and localization of QTLs for seed glucosinolate content. Theor Appl Genet 90: 194-204.
32. van Inghelandt D et al (2011) Extent and genome-wide distribution of linkage disequilibrium in commercial maize germplasm. Theor Appl Genet 123: 11-20.
33. Wright S (1978) Evolution and genetics of populations, variability within and among natural populations, vol 4th. The University of Chicago Press, Chicago, p 91.
34. Würschum T, Liu W, Gowda M, Maurer HP, Fischer S et al (2011a) Comparison of biometrical models for joint linkage association mapping. Heredity. doi: 10. 1038/hdy. 2011. 78.
35. Würschum T, Maurer HP, Kraft T, Janssen G, Nilsson C et al (2011b) Genome-wide association mapping of agronomic traits in sugar beet. Theor Appl Genet. doi: 10. 1007/s00122-011-1653-1.
36. Würschum T, Maurer HP, Schulz B, Möhring J, Reif JC (2011c) Genome-wide association mapping reveals epistasis and genetic interaction networks in sugar beet. Theor Appl Genet 123: 109-118.
37. Yu J, Holland JB, McMullen MD, Buckler ES (2008) Genetic design and statistical power of nested association mapping in maize. Genetics 178: 539-551.
38. Zeng ZB (1994) Precision mapping of quantitative trait loci. Genetics 136: 1457-1468.