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QTL mapping for test weight by using F 2:3 population in maize

Abstract

Test weight is an important trait in maize breeding. Understanding the genetic mechanism of test weight is important for effective selection of maize test weight improvement. In this study, quantitative trait loci (QTL) for maize test weight were identified. In the years 2007 and 2008, a F2:3 population along with the parents Chang7-2 and Zheng58 were planted in Zhengzhou, People’s Republic of China. Significant genotypic variation for maize test weight was observed in both years. Based on the genetic map containing 180 polymorphic SSR markers with an average linkage distance of 11.0 cM, QTL for maize test weight were analysed by mixed-model composite interval mapping. Five QTL, including four QTL with only additive effects, were identified on chromosomes 1, 2, 3, 4 and 5, and together explained 25.2% of the phenotypic variation. Seven pairs of epistatic interactions were also detected, involving 11 loci distributed on chromosomes 1, 2, 3, 4, 5 and 7, respectively, which totally contributed 18.2% of the phenotypic variation. However, no significant QTL × environment (Q×E) interaction and epistasis × environment interaction effects were detected. The results showed that besides the additive QTL, epistatic interactions also formed an important genetic basis for test weight in maize.

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References

  • Austin D. F. and Lee M. 1996 Comparative mapping in F2:3 and F6:7 generations of quantitative trait loci for grain yield and yield components in maize. Theor. Appl. Genet. 92, 817–826.

    Article  CAS  Google Scholar 

  • Cai H. Z., Bi W. Q., Chu J. Z. and Li H. H. 2001 Study on the relationship between maize unit weight and the water content. J. Zhengzhou Inst. Technol. 22, 70–72.

    Google Scholar 

  • Ding J. Q., Wang X. M., Subhash C. and Li J. S. 2008 Identification of QTL for maize resistance to common smut by using recombinant inbred lines developed from the Chinese hybrid Yuyu22. J. Appl. Genet. 49, 147–154.

    PubMed  Article  Google Scholar 

  • Du C. X., Cao C. J., Cao Q., Bi M. M., Dong Z. K. and Zhang F. L. 2006 The breeding and application of maize hybrid Zhengdan 958. J. Maize Sci. 14, 43–45.

    Google Scholar 

  • Gravois K. A. 1992 Genetic effects determining rice grain weight and grain density. Euphylica 64, 161–165.

    Article  Google Scholar 

  • Helm J. L., Paez A. V., Loesch P. J. and Zuber M. S. 1971 Test weight in high-amylose corn. Crop Sci. 11, 75–77.

    Article  Google Scholar 

  • Hua J. P., Xing Y. Z., Xu C. G., Sun X. L., Yu S. B. and Zhang Q. F. 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 

  • Huang X. Q., Cloutier S., Lycar L., Radovanovic N., Humphreys D. G., Noll J. S. et al. 2006 Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.). Theor. Appl. Genet. 113, 753–766.

    PubMed  Article  CAS  Google Scholar 

  • Hua J. P., Xing Y. Z., Wu W. R., Xu C. G., Sun X. L., Yu S. B. et al. 2003 Single-locus heterotic effects and dominance by dominance interactions can adequately explain the genetic basis of heterosis in an elite rice hybrid. Proc. Natl. Acad. Sci. USA 100, 2574–2579.

    PubMed  Article  CAS  Google Scholar 

  • Knapp S. J., Stroup W. W. and Ross W. M. 1985 Exact confidence intervals for heritability on a progeny mean basis. Crop Sci. 25, 192–194.

    Article  Google Scholar 

  • Kosambi D. D. 1944 The estimation of map distances from recombination values. Ann. Eugen. 12, 172–175.

    Article  Google Scholar 

  • Lander E. S., Green P. and Abrahanson J. 1987 MAPMAKER: an interactive computer package maps of experimental and natural populations. Genomics 1, 174–181.

    PubMed  Article  CAS  Google Scholar 

  • Li Z. K., Pinson S. R., Park W. D., Paterson A. H. and Stansel J. W. 1997 Epistasis for three grain yield components in rice (Oryza sativa L.). Genetics 145, 453–465.

    PubMed  CAS  Google Scholar 

  • Li Z. K., Luo L. J., Mei H. W., Wang D. L., Shu Y. Q., Tabien R. et al. 2001 Overdominance epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. I. Biomass and grain yield. Genetics 158, 1737–1753.

    PubMed  CAS  Google Scholar 

  • Liu P. Y., Zhu J., Lou X. Y. and Lu Y. 2003 A method for marker-assisted selection based on QTLs with epistatic effects. Genetica 119, 75–86.

    PubMed  Article  CAS  Google Scholar 

  • Lukens L. N. and Doebley J. 1999 Epistatic and environmental interactions for quantitative trait loci involved in maize evolution. Genet. Res. 74, 291–302.

    Article  CAS  Google Scholar 

  • Luo L. J., Li Z. K., Mei H. W., Shu Y. Q., Tabien R., Zhong D. B. et al. 2001 Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. II. Grain yield components. Genetics 158, 1755–1771.

    PubMed  CAS  Google Scholar 

  • Ma X. Q., Tang J. H., Teng W. T., Yan J. B., Meng Y. J. and Li J. S. 2007 Epistatic interaction is an important genetic basis of grain yield and its components in maize. Mol. Breeding 20, 41–51.

    Article  Google Scholar 

  • Mertz E. T., Bates L. S. and Nelson O. E. 1964 Mutant gene that changes protein composition and increases lysine concentration of maize. Science 148, 1741.

    Article  Google Scholar 

  • Neuffer M. G. and Sheridan W. 1980 Defective kernel mutants of maize. I. Genetic and lethality studies. Genetics 95, 929–944.

    PubMed  CAS  Google Scholar 

  • Paez A. V. and Zuber M. S. 1973 Inheritance of test-weight components in normal, Opaque-2, and Floury-2 Corn (Zea mays L.). Crop Sci. 13, 417–419.

    Article  Google Scholar 

  • SAC 2003 National standards of the P. R. C, 3rd edition. Standardization Administration of the People Republic of China, Standards Press of China, Beijing, P. R. China.

  • SAS Institute 1999 SAS for Windows, version 8.2. SAS Institute, Cary, USA.

  • Silverio G. L., Mirelle M. K., Mateo V. and David J. B. 2009 Mapping of QTL associated with maize weevil resistance in tropical Maize. Crop Sci. 49, 139–149.

    Article  Google Scholar 

  • Sun X. Y., Wu K., Zhao Y., Kong F. M., Han G. Z., Jiang H. M. et al. 2009 QTL analysis of kernel shape and weight using recombinant inbred lines in wheat. Euphytica 165, 615–624.

    Article  CAS  Google Scholar 

  • Vera G. A. and Crane P. L. 1974 Selection for high vs low kernel density and flint vs dent kernel type in a synthetic maize variety. Crop Sci. 14, 238–240.

    Google Scholar 

  • Wang C. S., Rutledge J. J. and Gianola D. 1994 Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs. Genet. Select. Evol. 26, 91–115.

    Article  Google Scholar 

  • Wang D. L., Zhu J., Li Z. K. and Paterson A. H. 1999 Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor. Appl. Genet. 99, 1255–1264.

    Article  Google Scholar 

  • Wang X. X., Ma L., Wang X. P. and Li C.H. 2008 Analysis of yield and agronomic characteristics of Zhengdan958’s related hybrid combinations. J. Maize Sci. 16, 104–107.

    Google Scholar 

  • Xing Y. Z., Tan Y. F., Hua J. P., Sun X. L., Xu C. G. and Zhang Q. F. 2002 Characterization of the main effects, epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice. Theor. Appl. Genet. 105, 248–257.

    PubMed  Article  CAS  Google Scholar 

  • Xu S. B., Tao Y. F., Yang Z. Q. and Chu J. Y. 2002 A simple and rapid method used for silver staining and gel preservation. Heredity 24, 335–336.

    CAS  Google Scholar 

  • Yan J. B., Tang H., Huang Y. Q., Zheng Y. L. and Li J. S. 2006 Quantitative trait loci mapping and epistatic analysis for grain yield and yield components using molecular markers with an elite maize hybrid. Euphytica 149, 121–131.

    Article  CAS  Google Scholar 

  • Yang J., Zhu J. and Williams R. W. 2007 Mapping the genetic architecture of complex traits in experimental populations. Bioinformatics 23, 1527–1536.

    PubMed  Article  CAS  Google Scholar 

  • Yu S. B., Li J. X., Xu C. G., Tan Y. F., Gao Y. J., Li X. H. et al. 1997 Importance of epistasis as the genetic basis of the heterosis in an elite rice hybrid. Proc. Natl. Acad. Sci. USA 94, 9226–9231.

    PubMed  Article  CAS  Google Scholar 

  • Zhang C. R. 2009 QTL mapping for yield and yield related traits using F2:3 population derived from Zhengdan 958 in maize, Ph.D. thesis, Henan Agricultural University, Henan, P. R. China.

  • Zhang L., Dong S. T., Liu C. H., Wang K. J., Zhang J. J. and Liu P. 2007 Correlation analysis on maize test weight, yield and quality. Sci. Agric. Sinica 40, 405–411.

    Google Scholar 

  • Zhao Y. L., Li C. H., Wang X. X., Wang Q., Yang Q. H. and Tang J. H. 2008 Comparison and analysis of characters and yield of Chang7-2’s related inbred lines and their hybrid combinations. J. Maize Sci. 16, 47–51.

    Google Scholar 

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These authors (Jun-Qiang Ding and Jin-Liang Ma) contribute equally to this work.

[Ding J.-Q., Ma J.-L., Zhang C.-R., Dong H.-F., Xi Z.-Y., Xia Z.-L. and Wu J.-Y. 2011 QTL Mapping for test weight by using F2:3 population in maize. J. Genet. 90, 75–80]

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DING, JQ., MA, JL., ZHANG, CR. et al. QTL mapping for test weight by using F 2:3 population in maize. J Genet 90, 75–80 (2011). https://doi.org/10.1007/s12041-011-0036-3

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  • DOI: https://doi.org/10.1007/s12041-011-0036-3

Keywords

  • QTL mapping
  • SSR markers
  • test weight
  • maize