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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery. / Hickey, John M.; Chiurugwi, Tinashe; Mackay, Ian; Powell, Wayne; Eggen, Andre; Kilian, Andrzej; Jones, Chris; Canales, Claudia; Grattapaglia, Dario; Bassi, Filippo; Atlin, Gary; Gorjanc, Gregor; Dawson, Ian; Rabbi, Ismail; Ribaut, Jean-Marcel; Rutkoski, Jessica; Benzi, John; Lightner, Jon; Mwacharo, Joram; Parmentier, Joris; Robbins, Kelly; Skot, Leif; Wolfe, Marnin; Rouard, Mathieu; Clark, Matt; Amer, Peter; Gardiner, Peter; Hendre, Prasad; Mrode, Raphael; Sivasankar, Shoba; Rasmussen, Søren Kjærsgaard; Groh, Susanne; Jackson, Vicky; Thomas, William; Beyene, Yoseph.

In: Nature Genetics, Vol. 49, No. 9, 2017, p. 1297-1303.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Hickey, JM, Chiurugwi, T, Mackay, I, Powell, W, Eggen, A, Kilian, A, Jones, C, Canales, C, Grattapaglia, D, Bassi, F, Atlin, G, Gorjanc, G, Dawson, I, Rabbi, I, Ribaut, J-M, Rutkoski, J, Benzi, J, Lightner, J, Mwacharo, J, Parmentier, J, Robbins, K, Skot, L, Wolfe, M, Rouard, M, Clark, M, Amer, P, Gardiner, P, Hendre, P, Mrode, R, Sivasankar, S, Rasmussen, SK, Groh, S, Jackson, V, Thomas, W & Beyene, Y 2017, 'Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery', Nature Genetics, vol. 49, no. 9, pp. 1297-1303. https://doi.org/10.1038/ng.3920

APA

Hickey, J. M., Chiurugwi, T., Mackay, I., Powell, W., Eggen, A., Kilian, A., Jones, C., Canales, C., Grattapaglia, D., Bassi, F., Atlin, G., Gorjanc, G., Dawson, I., Rabbi, I., Ribaut, J-M., Rutkoski, J., Benzi, J., Lightner, J., Mwacharo, J., ... Beyene, Y. (2017). Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery. Nature Genetics, 49(9), 1297-1303. https://doi.org/10.1038/ng.3920

Vancouver

Hickey JM, Chiurugwi T, Mackay I, Powell W, Eggen A, Kilian A et al. Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery. Nature Genetics. 2017;49(9):1297-1303. https://doi.org/10.1038/ng.3920

Author

Hickey, John M. ; Chiurugwi, Tinashe ; Mackay, Ian ; Powell, Wayne ; Eggen, Andre ; Kilian, Andrzej ; Jones, Chris ; Canales, Claudia ; Grattapaglia, Dario ; Bassi, Filippo ; Atlin, Gary ; Gorjanc, Gregor ; Dawson, Ian ; Rabbi, Ismail ; Ribaut, Jean-Marcel ; Rutkoski, Jessica ; Benzi, John ; Lightner, Jon ; Mwacharo, Joram ; Parmentier, Joris ; Robbins, Kelly ; Skot, Leif ; Wolfe, Marnin ; Rouard, Mathieu ; Clark, Matt ; Amer, Peter ; Gardiner, Peter ; Hendre, Prasad ; Mrode, Raphael ; Sivasankar, Shoba ; Rasmussen, Søren Kjærsgaard ; Groh, Susanne ; Jackson, Vicky ; Thomas, William ; Beyene, Yoseph. / Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery. In: Nature Genetics. 2017 ; Vol. 49, No. 9. pp. 1297-1303.

Bibtex

@article{7402c0ccf7c34bf090a6e52fc8de2eaf,
title = "Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery",
abstract = "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.",
keywords = "Journal Article",
author = "Hickey, {John M.} and Tinashe Chiurugwi and Ian Mackay and Wayne Powell and Andre Eggen and Andrzej Kilian and Chris Jones and Claudia Canales and Dario Grattapaglia and Filippo Bassi and Gary Atlin and Gregor Gorjanc and Ian Dawson and Ismail Rabbi and Jean-Marcel Ribaut and Jessica Rutkoski and John Benzi and Jon Lightner and Joram Mwacharo and Joris Parmentier and Kelly Robbins and Leif Skot and Marnin Wolfe and Mathieu Rouard and Matt Clark and Peter Amer and Peter Gardiner and Prasad Hendre and Raphael Mrode and Shoba Sivasankar and Rasmussen, {S{\o}ren Kj{\ae}rsgaard} and Susanne Groh and Vicky Jackson and William Thomas and Yoseph Beyene",
year = "2017",
doi = "10.1038/ng.3920",
language = "English",
volume = "49",
pages = "1297--1303",
journal = "Nature Genetics",
issn = "1061-4036",
publisher = "nature publishing group",
number = "9",

}

RIS

TY - JOUR

T1 - Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery

AU - Hickey, John M.

AU - Chiurugwi, Tinashe

AU - Mackay, Ian

AU - Powell, Wayne

AU - Eggen, Andre

AU - Kilian, Andrzej

AU - Jones, Chris

AU - Canales, Claudia

AU - Grattapaglia, Dario

AU - Bassi, Filippo

AU - Atlin, Gary

AU - Gorjanc, Gregor

AU - Dawson, Ian

AU - Rabbi, Ismail

AU - Ribaut, Jean-Marcel

AU - Rutkoski, Jessica

AU - Benzi, John

AU - Lightner, Jon

AU - Mwacharo, Joram

AU - Parmentier, Joris

AU - Robbins, Kelly

AU - Skot, Leif

AU - Wolfe, Marnin

AU - Rouard, Mathieu

AU - Clark, Matt

AU - Amer, Peter

AU - Gardiner, Peter

AU - Hendre, Prasad

AU - Mrode, Raphael

AU - Sivasankar, Shoba

AU - Rasmussen, Søren Kjærsgaard

AU - Groh, Susanne

AU - Jackson, Vicky

AU - Thomas, William

AU - Beyene, Yoseph

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Journal Article

U2 - 10.1038/ng.3920

DO - 10.1038/ng.3920

M3 - Journal article

C2 - 28854179

VL - 49

SP - 1297

EP - 1303

JO - Nature Genetics

JF - Nature Genetics

SN - 1061-4036

IS - 9

ER -

ID: 183010562