Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery

Research output: Contribution to journalJournal article

  • John M. Hickey
  • Tinashe Chiurugwi
  • Ian Mackay
  • Wayne Powell
  • Andre Eggen
  • Andrzej Kilian
  • Chris Jones
  • Claudia Canales
  • Dario Grattapaglia
  • Filippo Bassi
  • Gary Atlin
  • Gregor Gorjanc
  • Ian Dawson
  • Ismail Rabbi
  • Jean-Marcel Ribaut
  • Jessica Rutkoski
  • John Benzi
  • Jon Lightner
  • Joram Mwacharo
  • Joris Parmentier
  • Kelly Robbins
  • Leif Skot
  • Marnin Wolfe
  • Mathieu Rouard
  • Matt Clark
  • Peter Amer
  • Peter Gardiner
  • Prasad Hendre
  • Raphael Mrode
  • Shoba Sivasankar
  • Susanne Groh
  • Vicky Jackson
  • William Thomas
  • Yoseph Beyene

The rate of annual yield increases for major staple crops must more than double relative to current levels in order to feed a predicted global population of 9 billion by 2050. Controlled hybridization and selective breeding have been used for centuries to adapt plant and animal species for human use. However, achieving higher, sustainable rates of improvement in yields in various species will require renewed genetic interventions and dramatic improvement of agricultural practices. Genomic prediction of breeding values has the potential to improve selection, reduce costs and provide a platform that unifies breeding approaches, biological discovery, and tools and methods. Here we compare and contrast some animal and plant breeding approaches to make a case for bringing the two together through the application of genomic selection. We propose a strategy for the use of genomic selection as a unifying approach to deliver innovative 'step changes' in the rate of genetic gain at scale.

Original languageEnglish
JournalNature Genetics
Volume49
Issue number9
Pages (from-to)1297-1303
Number of pages7
ISSN1061-4036
DOIs
Publication statusPublished - 2017

    Research areas

  • Journal Article

ID: 183010562