R
Robert Jackson
Researcher at National Institute of Agricultural Botany
Publications - 9
Citations - 268
Robert Jackson is an academic researcher from National Institute of Agricultural Botany. The author has contributed to research in topics: Trait & Computer science. The author has an hindex of 3, co-authored 5 publications receiving 181 citations.
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Journal ArticleDOI
A Two-Part Strategy for Using Genomic Selection to Develop Inbred Lines
R. Chris Gaynor,Gregor Gorjanc,Alison R. Bentley,Eric S. Ober,Phil Howell,Robert Jackson,Ian Mackay,John M. Hickey +7 more
TL;DR: A strategy for implementing genomic selection in plant breeding programs for developing inbred lines that reorganizes traditional breeding programs into two distinct components is proposed, indicating that the two-part strategy is a cost-effective strategy.
Journal ArticleDOI
The effects of training population design on genomic prediction accuracy in wheat
Stefan M Edwards,Jaap B. Buntjer,Robert Jackson,Alison R. Bentley,Jacob Lage,Ed Byrne,C. Burt,Peter Jack,Simon Berry,Edward Flatman,Bruno Poupard,Stephen Smith,Charlotte Hayes,Gaynor Rc,Gregor Gorjanc,Phil Howell,Eric S. Ober,Ian Mackay,John M. Hickey +18 more
TL;DR: The results of this study emphasise the importance of the training panel design in relation to the genetic material to which the resulting prediction model is to be applied, and the design of training sets is in turn central to achieving sufficient levels of accuracy.
Journal ArticleDOI
A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders.
Nick Fradgley,Keith A. Gardner,James Cockram,James Elderfield,John M. Hickey,Phil Howell,Robert Jackson,Ian Mackay +7 more
TL;DR: A pedigree resource of 2,657 wheat genotypes originating from 38 countries, representing more than a century of breeding and variety development is presented, highlighting the benefits of generating detailed pedigree resources for crop species.
Journal ArticleDOI
AirMeasurer: open‐source software to quantify static and dynamic traits derived from multiseason aerial phenotyping to empower genetic mapping studies in rice
Gang Sun,Hengyun Lu,Yan Yan Zhao,Ji Zhou,Robert Jackson,Yongchun Wang,Ling-xiang Xu,Ahong Wang,Joshua Colmer,Eric S. Ober,Qiang Zhao,Bin Han +11 more
TL;DR: AirMeasurer as discussed by the authors is an open source and expandable platform that combines automated image analysis, machine learning and original algorithms to perform trait analysis using 2D/3D aerial imagery acquired by low-cost UAVs in rice trials.
Posted ContentDOI
The effects of training population design on genomic prediction accuracy in wheat
Stefan M Edwards,Jaap B. Buntjer,Robert Jackson,Alison R. Bentley,Jacob Lage,Ed Byrne,C. Burt,Peter Jack,Simon Berry,Edward Flatman,Bruno Poupard,Stephen Smith,Charlotte Hayes,Gaynor Rc,Gregor Gorjanc,Phil Howell,Eric S. Ober,Ian Mackay,John M. Hickey +18 more
TL;DR: Small numbers of close relatives and very large numbers of distant relatives are expected to enable accurate predictions of genomic selection in crops, and the results emphasize the importance of the training set design in relation to the genetic material to which the resulting prediction model is to be applied.