Skip to main content
SpringerLink
Log in

Detection of QTL for six yield-related traits in oilseed rape (Brassica napus) using DH and immortalized F2 populations

  • Original Paper
  • Published:
Theoretical and Applied Genetics Aims and scope Submit manuscript

Abstract

The inheritance of yield-related traits in rapeseed (Brassica napus) is poorly understood, and the investigations on mapping of quantitative trait loci (QTL) for such traits are only few. QTL related to six traits were mapped which include plant height (PH), height of lowest primary effective branch (HPB), length of main inflorescence (LMI), silique length (SL), number of primary branches (FB) and silique density (SD). A set of 258 doubled haploid (DH) lines derivatives of a cross between a canola variety Quantum and a resynthesized B. napus line No.2127-17, and a fixed immortalized F2 (designated as IF2) population generated by randomly permutated intermating of these DHs were investigated. A genetic linkage map was constructed using 208 SSR and 189 SRAP markers for the DH population. Phenotypic data were collected from three environments for the two populations. Using composite interval mapping analyses, 30 and 22 significant QTL were repeatedly detected across environments for the six traits in the DH and IF2 populations, respectively. Twenty-nine QTL were common between the two populations. The directions of parental contribution for all common QTL were the same, showing a great potential for marker-assisted selection in improving these traits. Some chromosomal regions harbor QTL for multiple traits, which were consistent with significant phenotypic correlations observed among traits. The results provided a better understanding of the genetic factors controlling yield-related traits in rapeseed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Butruille DV, Guries RP, Osborn TC (1999) Linkage analysis of molecular markers and quantitative trait loci in populations of inbred backcross lines of Brassica napus L. Genetics 153:949–964

    PubMed  CAS  Google Scholar 

  • Delourme R, Falentin C, Huteau V, Clouet V, Horvais R, Gandon B, Specel S, Hanneton L, Dheu JE, Deschamps M, Margale E, Vincourt P, Renard M (2006) Genetic control of oil content in oilseed rape (Brassica napus L.). Theor Appl Genet 113:1331–1345

    Article  PubMed  CAS  Google Scholar 

  • Doerge RW, Churchill GA (1996) Permutation tests for multiple loci affecting a quantitative character. Genetics 142:285–294

    PubMed  CAS  Google Scholar 

  • Dreyer F, Graichen K, Jung C (2001) A major quantitative trait locus for resistance to Turnip Yellows Virus (TuYV, syn. beet western yellows virus, BWYV) in rapeseed. Plant Breed 120:457–462

    Article  CAS  Google Scholar 

  • Ferreira ME, Satagopan J, Yandell BS, Williams PH, Osborn TC (1995) Mapping loci controlling vernalization requirement and Xowering time in Brassica napus. Theor Appl Genet 90:727–732

    Article  Google Scholar 

  • Howell PM, Sharpe AG, Lydiate DJ (2003) Homoeologous loci control the accumulation of seed glucosinolates in oilseed rape (Brassica napus). Genome 46:454–460

    Article  PubMed  CAS  Google Scholar 

  • Hua JP, Xing YZ, Xu CG, Sun XL, Yu SB, Zhang QF (2002) Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance. Genetics 162:1885–1895

    PubMed  CAS  Google Scholar 

  • Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugen 12:172–175

    Google Scholar 

  • Lander ES, Botstein D (1989) Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199

    PubMed  CAS  Google Scholar 

  • Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln SE, Newburg I (1987) MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181

    Article  PubMed  CAS  Google Scholar 

  • Li G, Quiros CF (2001) Sequence-related amplified polymorphism SRAP a new marker system based on a simple, PCR reaction: its application to mapping, and gene tagging in Brassica. Theor Appl Genet 103:455–461

    Article  CAS  Google Scholar 

  • Liu XP, Tu J, Chen B, Fu T (2005) Identification and inheritance of a partially dominant gene for yellow seed colour in Brassica napus. Plant Breed 124:9–12

    Article  Google Scholar 

  • Lowe AJ, Moule C, Trick M, Edwards KJ (2004) Efficient large-scale development of microsatellites for marker and mapping applications in Brassica crop species. Theor Appl Genet 108:1103–1112

    Article  PubMed  CAS  Google Scholar 

  • Marwede V, Gul MK, Becker HC, Ecke W (2005) Mapping of QTL controlling tocopherol content in winter oilseed rape. Plant Breed 124:20–26

    Article  CAS  Google Scholar 

  • Osborn TC, Kole C, Parkin IAP, Kuiper M, Lydiate DJ, Trick M (1997) Comparison of flowering time genes in Brassica rapa, B. napus, and Arabidopsis thaliana. Genetics 146:1123–1129

    PubMed  CAS  Google Scholar 

  • Parkin IAP, Sharpe AG, Keith DJ, Lydiate DJ (1995) Identification of A and C genomes of amphidiploid Brassica napus (oilseed rape). Genome 38:1122–1131

    CAS  Google Scholar 

  • Parkin IAP, Gulden SM, Sharpe AG, Lukens L, Trick M et al. (2005) Segmental structure of the Brassica napus genome based on comparative analysis with Arabidopsis thaliana. Genetics 171:765–781

    Article  PubMed  CAS  Google Scholar 

  • Piquemal J, Cinquin E, Couton F, Rondeau C, Seignoret E,Doucet I, Perret D, Villeger MJ, Vincourt P, Blanchard P (2005) Construction of an oilseed rape (Brassica napus L.) genetic map with SSR markers. Theor Appl Genet 111:1514–1523

    Article  PubMed  CAS  Google Scholar 

  • Qiu D, Morgan C, Shi J, Long Y, Liu J, Li R, Zhuang X, Wang Y, Tan X, Dietrich E, Weihmann T, Everett C, Vanstraelen S, Beckett P, Fraser F, Trick M, Barnes S, Wilmer J, Schmidt R, Li j, Li D, Meng J, Bancroft I (2006) A comparative linkage map of oilseed rape and its use for QTL analysis of seed oil and erucic acid content. Theor Appl Genet 114:67–80

    Article  PubMed  CAS  Google Scholar 

  • Quijada PA, Udall JA, Lambert B, Osborn TC (2006) Identification of genomic regions from winter germplasm that affect seed yield and other complex traits in hybrid spring rapeseed (Brassica napus L.). Theor Appl Genet 113:549–561

    Article  PubMed  CAS  Google Scholar 

  • SAS Institute Inc. (1999) SAS user’s guide, release 8.01 edition. SAS Institute Inc., Cary

  • Song KM, Osborn TC (1992) Polyphyletic origins of Brassica napus—new evidence based on organelle and nuclear RFLP analyses. Genome 35:992–1001

    Google Scholar 

  • U N (1935) Genome analysis in Brassica with special reference to the experimental formation of B. napus and peculiar mode of fertilization. Jpn J Bot 7:384–452

    Google Scholar 

  • Udall JA, Quijada PA, Lambert B, Osborn TC (2006) Identification of alleles from unadapted germplasm affecting seed yield and other quantitative traits in hybrid spring oilseed Brassica napus L. Theor Appl Genet 113:597–609

    Article  PubMed  CAS  Google Scholar 

  • Wang S, Basten CJ, Zeng ZB (2003) Windows QTL Cartographer 2.0. Department of Statistics, North Carolina State University, Raleigh

    Google Scholar 

  • Yi B, Chen W, Ma C, Fu T, Tu J (2006) Mapping of quantitative trait loci for yield and yield components in Brassica napus L. Acta Agron Sin 32:676–682

    CAS  Google Scholar 

  • Zhao JY, Becker HC, Zhang D, Zhang Y, Ecke W (2006) Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield. Theor Appl Genet 113:33–38

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This research was supported by grants from the National Key Basic Research Special Foundation of China (2001CB1088), and Program for Changjiang Scholars and Innovative Research Team in University (IRT0442).

Author information

Authors and Affiliations

  1. National Key Laboratory of Crop Genetic Improvement, National Sub-center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan, 430070, China

    Wei Chen, Yan Zhang, Baoyuan Chen, Jinxing Tu & Fu Tingdong

  2. Department of Bioengineering at Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China

    Xueping Liu

Authors
  1. Wei Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xueping Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Baoyuan Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jinxing Tu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Fu Tingdong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jinxing Tu.

Additional information

Communicated by C. F. Quiros.

Electronic supplementary material

Below is the link to the electronic supplementary material.

(DOC 505 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, W., Zhang, Y., Liu, X. et al. Detection of QTL for six yield-related traits in oilseed rape (Brassica napus) using DH and immortalized F2 populations. Theor Appl Genet 115, 849–858 (2007). https://doi.org/10.1007/s00122-007-0613-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00122-007-0613-2

Keywords

Search

Navigation