Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

Chin Jian Yang, Rajiv Sharma, Gregor Gorjanc, Sarah J Hearne, Wayne Powell, Ian Mackay*

*Corresponding author for this work

Research output: Contribution to journalArticle

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Abstract

Modern crop breeding is in constant demand for new genetic diversity as part of the arms race with genetic gain. The elite gene pool has limited genetic variation and breeders are trying to introduce novelty from unadapted germplasm, landraces and wild relatives. For polygenic traits, currently available approaches to introgression are not ideal, as there is a demonstrable bias against exotic alleles during selection. Here, we propose a partitioned form of genomic selection, called Origin Specific Genomic Selection (OSGS), where we identify and target selection on favorable exotic alleles. Briefly, within a population derived from a bi-parental cross, we isolate alleles originating from the elite and exotic parents, which then allows us to separate out the predicted marker effects based on the allele origins. We validated the usefulness of OSGS using two nested association mapping (NAM) datasets: barley NAM (elite-exotic) and maize NAM (elite-elite), as well as by computer simulation. Our results suggest that OSGS works well in its goal to increase the contribution of favorable exotic alleles in bi-parental crosses, and it is possible to extend the approach to broader multi-parental populations.
Original languageEnglish
Pages (from-to)2445-2455
Number of pages11
JournalG3: Genes, Genomes, Genetics
Volume10
Issue number7
Early online date19 May 2020
DOIs
Publication statusPrint publication - 1 Jul 2020

Bibliographical note

Copyright © The Author(s) 2020. Published by the Genetics Society of America.

Keywords

  • GenPred
  • Genomic Prediction
  • NAM
  • Shared Data Resources
  • barley
  • genomic selection
  • introgression
  • maize
  • plant breeding

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