Theoretical and Applied Genetics

, Volume 126, Issue 1, pp 189–201 | Cite as

Performance prediction of F1 hybrids between recombinant inbred lines derived from two elite maize inbred lines

  • Tingting Guo
  • Huihui Li
  • Jianbing Yan
  • Jihua Tang
  • Jiansheng Li
  • Zhiwu Zhang
  • Luyan Zhang
  • Jiankang Wang
Original Paper

Abstract

Selection of recombinant inbred lines (RILs) from elite hybrids is a key method in maize breeding especially in developing countries. The RILs are normally derived by repeated self-pollination and selection. In this study, we first investigated the accuracy of different models in predicting the performance of F1 hybrids between RILs derived from two elite maize inbred lines Zong3 and 87-1, and then compared these models through simulation using a wider range of genetic models. Results indicated that appropriate prediction models depended on genetic architecture, e.g., combined model using breeding value and genome-wide prediction (BV+GWP) has the highest prediction accuracy for high V D/V A ratio (>0.5) traits. Theoretical studies demonstrated that different components of genetic variance were captured by different prediction models, which in turn explained the accuracy of these models in predicting the F1 hybrid performance. Based on genome-wide prediction model (GWP), 114 untested F1 hybrids possibly having higher grain yield than the original F1 hybrid Yuyu22 (the single cross between Zong3 and 87-1) have been identified and recommended for further field test.

Notes

Acknowledgments

This research was supported by National Hi-Tech Research and Development Program of China (2012AA101104-1). We thank Professor Rex Bernardo, Department of Agronomy and Plant Genetics, University of Minnesota for his constructive comments and suggestions to previous versions of this paper.

Supplementary material

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Tingting Guo
    • 1
    • 2
    • 3
  • Huihui Li
    • 2
    • 3
  • Jianbing Yan
    • 5
  • Jihua Tang
    • 6
  • Jiansheng Li
    • 1
  • Zhiwu Zhang
    • 4
  • Luyan Zhang
    • 2
    • 3
  • Jiankang Wang
    • 2
    • 3
  1. 1.National Maize Improvement CenterChina Agricultural UniversityBeijingChina
  2. 2.The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop ScienceChinese Academy of Agricultural SciencesBeijingChina
  3. 3.CIMMYT China, Chinese Academy of Agricultural SciencesBeijingChina
  4. 4.Institute for Genomic DiversityCornell UniversityIthacaUSA
  5. 5.National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityWuhanChina
  6. 6.Department of AgronomyHenan Agricultural UniversityZhengzhouChina

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