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

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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.

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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.

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Authors and Affiliations

  1. National Maize Improvement Center, China Agricultural University, Beijing, 100193, China

    Tingting Guo & Jiansheng Li

  2. The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Beijing, 100081, China

    Tingting Guo, Huihui Li, Luyan Zhang & Jiankang Wang

  3. CIMMYT China, Chinese Academy of Agricultural Sciences, Beijing, China

    Tingting Guo, Huihui Li, Luyan Zhang & Jiankang Wang

  4. Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA

    Zhiwu Zhang

  5. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China

    Jianbing Yan

  6. Department of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China

    Jihua Tang

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  1. Tingting Guo
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  2. Huihui Li
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  3. Jianbing Yan
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  4. Jihua Tang
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  5. Jiansheng Li
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  6. Zhiwu Zhang
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  7. Luyan Zhang
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  8. Jiankang Wang
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Correspondence to Jiankang Wang.

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Communicated by M. Frisch.

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Guo, T., Li, H., Yan, J. et al. Performance prediction of F1 hybrids between recombinant inbred lines derived from two elite maize inbred lines. Theor Appl Genet 126, 189–201 (2013). https://doi.org/10.1007/s00122-012-1973-9

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  • DOI: https://doi.org/10.1007/s00122-012-1973-9

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