Origin Specific Genomic Selection: a simple process to optimize the favorable contribution of parents to progeny

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

Research output: Contribution to journalArticlepeer-review

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
JournalG3: Genes | Genomes | Genetics
Early online date19 May 2020
DOIs
Publication statusE-pub ahead of print - 19 May 2020

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