Reference Population Optimization
Reference Population Optimization is a methodological framework in genomic prediction and selection that systematically enhances the design, composition, and structure of a reference population to maximize the accuracy and robustness of genetic predictions for stress tolerance traits.
17
Publications
811
Citations
89
Authors
33
Institutions
Publications per year
2017–2026
3
17
Prospects for genomic selection in forage plant species
Ben J. Hayes, Noel O. I. Cogan, Luke W. Pembleton et al. · Plant Breeding · 2013 · 154 citations
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33
Wageningen University & Research
Wageningen, The Netherlands
4 h-index
7 publications
334 citations
AgriBio
Melbourne, Australia
2 h-index
16 publications
1.3K citations

La Trobe University
Melbourne, Australia
2 h-index
12 publications
1.2K citations

Aarhus University
Aarhus, Denmark
2 h-index
6 publications
266 citations

The University of Melbourne
Melbourne, Australia
2 h-index
2 publications
253 citations
Génétique Animale et Biologie Intégrative
Jouy-en-Josas, France
2 h-index
6 publications
226 citations
Copenhagen Business School
Copenhagen, Denmark
1 h-index
2 publications
20 citations
Institut National de la Recherche Agronomique
Rabat, Morocco
1 h-index
5 publications
480 citations
1–8 of 33
JDS · 4 publications · 246 citations
4
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GSE · 2 publications · 102 citations
2
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1 publications · 154 citations
1
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1 publications · 81 citations
1
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1 publications · 40 citations
1
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