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Functional Genomic Selection in Crop Breeding

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Legume Genomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2107))

Abstract

Genomic selection (GS) is rapidly being adopted by many plant and animal breeding programs. New statistical methods that increase prediction accuracy are needed to enable effective GS. This chapter will introduce a prediction method that makes use of the biological functions of DNA markers.

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References

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Acknowledgments

The dataset used in this book chapter was obtained from a project funded by the Grains Research and Development Corporation (GRDC), Australia. Y.L.’s position is funded by GRDC. The author thanks Sean Bithell, Kristy Hobson, and Tim Sutton for conducting the field trials and managing the project. The author thanks John Harris and Judith Atieno for their comments and testing the R code.

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Authors and Affiliations

  1. School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, SA, Australia

    Yongle Li

Authors
  1. Yongle Li
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Corresponding author

Correspondence to Yongle Li .

Editor information

Editors and Affiliations

  1. School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India

    Mukesh Jain

  2. Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Gautam Buddha Nagar, Uttar Pradesh, India

    Rohini Garg

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Li, Y. (2020). Functional Genomic Selection in Crop Breeding. In: Jain, M., Garg, R. (eds) Legume Genomics. Methods in Molecular Biology, vol 2107. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0235-5_9

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  • DOI: https://doi.org/10.1007/978-1-0716-0235-5_9

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0234-8

  • Online ISBN: 978-1-0716-0235-5

  • eBook Packages: Springer Protocols

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