Skip to main content
Log in

The QTL analysis on maternal and endosperm genome and their environmental interactions for characters of cooking quality in rice (Oryza sativa L.)

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

Abstract

Investigations to identify quantitative trait loci (QTLs) governing cooking quality traits including amylose content, gel consistency and gelatinization temperature (expressed by the alkali spread value) were conducted using a set of 241 RIL populations derived from an elite hybrid cross of “Zhenshan 97” × “Minghui 63” and their reciprocal backcrosses BC1F1 and BC2F1 populations in two environments. QTLs and QTL × environment interactions were analyzed by using the genetic model with endosperm and maternal effects and environmental interaction effects on quantitative traits of seed in cereal crops. The results suggested that a total of seven QTLs were associated with cooking quality of rice, which were subsequently mapped to chromosomes 1, 4 and 6. Six of these QTLs were also found to have environmental interaction effects.

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

Access this article

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Aluko G, Martinez C, Tohme J, Castano C, Bergman C Oard JH (2004) QTL mapping of grain quality traits from the interspecific cross Oryza sativa × O. glaberrima. Theor Appl Genet 109:630–639

    Article  PubMed  CAS  Google Scholar 

  • Bao JS, Sun M, Zhu LH Corke H (2004) Analysis of quantitative trait loci for some starch properties of rice (Oryza sativa L.): thermal properties, gel texture and swelling volume. J Cereal Sci 39:379–385

    Article  CAS  Google Scholar 

  • Cui YH, Wu RL (2005) Statistical model for characterizing epistatic control of triploid endosperm triggered by maternal and ospring QTLs. Genet Res 86:65–75

    Article  PubMed  Google Scholar 

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

    PubMed  CAS  Google Scholar 

  • Fan CC, Yu XQ, Xing YZ, Xu CG, Lou LJ, Zhang QF (2005) The main effects, epistatic effects and environmental interactions of QTLs on the cooking and eating quality of rice in a doubled-haploid line population. Theor Appl Genet 110:1445–1452

    Article  PubMed  CAS  Google Scholar 

  • He P, Li SG, Qian Q, Ma YQ, Li JZ, Wang WM, Chen Y, Zhu LH (1999) Genetic analysis of rice grain quality. Theor Appl Genet 98:502–508

    Article  CAS  Google Scholar 

  • Kao CH (2004) Multiple-interval mapping for quantitative trait loci controlling endosperm traits. Genetics 167:1987–2002

    Article  PubMed  CAS  Google Scholar 

  • 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

    Article  PubMed  CAS  Google Scholar 

  • Lanceras JC, Huang ZL, Naivikul O, Vanavichit A, Ruanjaichon V, Tragoonrung S (2000) Mapping of genes for cooking and eating qualities in Thai jasmine rice (KDML105). DNA Res 7:93–101

    Article  PubMed  CAS  Google Scholar 

  • Li JM, Xiao JH, Grandillo S, Jiang LY , Wan YZ, Deng QY, Yuan LP, McCouch SR (2004) QTL detection for rice grain quality traits using an interspecific backcross population derived from cultivated Asian (O. sativa L.) and African (O. glaberrima S.) rice. Genome 47:693–704

    Google Scholar 

  • Liu HZ, Lin TX, Tragoonrung S, Vanavichit A (2000) Mapping QTLs for amylose content of grain with molecular markers in rice (Oryza sativa L.). Acta Agronomica Sinica 26:777–782

    Google Scholar 

  • McCouch SR, Cho YG, Yano M, Paul E, Blinstrub M, Morishima H, Kinosita T (1997) Report on QTL nomenclature. Rice Genet Newsl 14:11–13

    Google Scholar 

  • Piepho HP, Gauch HG (2001) Marker pair selection for mapping quantitative trait loci. Genetics 157:433–444

    PubMed  CAS  Google Scholar 

  • Rui T, Gong LJ, Li HS, Ling QW, Yu QH (2005) Mapping quantitative trait loci underlying the cooking and eating quality of rice using a DH population. Mol Breed 15:117–124

    Article  Google Scholar 

  • Sano Y (1985) Gene regulation at the waxy locus in rice. Gamma Field Symp 24:63–79

    Google Scholar 

  • Septiningsih EM, Trijatmiko KR, Moeljopawiro S, McCouch SR (2003) Identification of quantitative trait loci for grain quality in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon. Theor Appl Genet 107:1433–1441

    Article  PubMed  CAS  Google Scholar 

  • Shi CH, Zhu J, Zang RC Chen GL (1997) Genetic and heterosis analysis for cooking quality traits of indica rice in different environments. Theor Appl Genet 95:294–300

    Article  Google Scholar 

  • Tan YF, Li JX, Yu SB, Xing YZ, Xu CG (1999) The three important traits for cooking and eating quality of rice grains are controlled by a single locus in an elite rice hybrid, Shanyou 63. Theor Appl Genet 99:642–648

    Article  CAS  Google Scholar 

  • Wang CS, Rutledge JJ, Gianola D (1994) Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs. Genet Sel Evol 26:91–115

    Article  Google Scholar 

  • Wang DY, Zhang XF, Zhu ZW, Chen N, Min J, Yao Q, Yan JU, Liao XY (2005) Correlation analysis of rice grain quality characteristics. Acta Agronomica Sinica 31(8):1086–1091

    CAS  Google Scholar 

  • Wu JG, Shi CH (2007) Calibration model optimization for rice cooking characteristics by near infrared reflectance spectroscopy (NIRS). Food Chem 103:1054–1061

    Article  CAS  Google Scholar 

  • Wu RL, Ma CX, Meagher MG, Littell RC, Casella G (2002) Statistical methods for dissecting triploid endosperm traits using molecular markers: an autogamous model. Genetics 162:875–892

    PubMed  CAS  Google Scholar 

  • Xu C, He X, Xu S (2003) Mapping quantitative trait loci underlying triploid endosperm traits. Heredity 90:228–235

    Article  PubMed  CAS  Google Scholar 

  • Yang J, Zhu J, Williams RW (2007) Mapping the genetic architecture of complex traits in experimental populations. Bioinformatics 23:1527–1536

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The project was supported by the National Natural Science Foundation of China (no. 30571198) the National Basic Research Program of China (973 Program, no. 2007CB109000), the Science and Technology Office of Zhejiang Province (Nos. 011102471 and 2007C22016) and 151 Foundation for the Talents of Zhejiang Province. We also thank Prof. Q. F. Zhang for providing the molecular marker and Mr. Murali for improving the English of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. H. Shi.

Additional information

Communicated by F. van Eeuwijk.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zheng, X., Wu, J.G., Lou, X.Y. et al. The QTL analysis on maternal and endosperm genome and their environmental interactions for characters of cooking quality in rice (Oryza sativa L.). Theor Appl Genet 116, 335–342 (2008). https://doi.org/10.1007/s00122-007-0671-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00122-007-0671-5

Keywords

Navigation