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Theoretical and Applied Genetics

, Volume 116, Issue 3, pp 335–342 | Cite as

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

  • X. Zheng
  • J. G. Wu
  • X. Y. Lou
  • H. M. Xu
  • C. H. Shi
Original Paper

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.

Keywords

Amylose Content Recombinant Inbred Line Population Cooking Quality Gelatinization Temperature Maternal Genome 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

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.

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • X. Zheng
    • 1
  • J. G. Wu
    • 1
  • X. Y. Lou
    • 2
  • H. M. Xu
    • 1
  • C. H. Shi
    • 1
  1. 1.Department of Agronomy, College of Agriculture and BiotechnologyZhejiang UniversityHangzhouPeople’s Republic of China
  2. 2.Department of Psychiatry and Neurobehavioral SciencesUniversity of VirginiaCharlottesvilleUSA

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