Synthetic Population Development
Synthetic Population Development is a methodological framework in breeding population design that generates artificial populations through the integration of genetic, phenotypic, and environmental data to simulate realistic allelic distributions and linkage structures for the purpose of evaluating selection strategies and improving genetic gain predictions.
64
Publications
3.2K
Citations
271
Authors
114
Institutions
Publications per year
2017–2026
20
Parents
64
The genetic mechanism of heterosis utilization in maize improvement
Yingjie Xiao, Shuqin Jiang, Qian Cheng et al. · Genome biology · 2021 · 163 citations · Full text
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Institute for Cross-Disciplinary Physics and Complex Systems, Spain
2 publications · 102 citations
2
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1–5 of 271
114
Virginia Tech
Blacksburg, United States
2 h-index
14 publications
1.2K citations

Agricultural Research Service
Washington, United States
2 h-index
3 publications
189 citations
WorldFish
George Town, Malaysia
2 h-index
10 publications
1.3K citations

Norwegian University of Life Sciences
Ås, Norway
2 h-index
8 publications
586 citations
North Carolina State University
Raleigh, United States
2 h-index
6 publications
91 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
3 publications
204 citations
Local Initiatives Support Corporation
New York, United States
2 h-index
4 publications
204 citations

Huazhong Agricultural University
Wuhan, China
2 h-index
18 publications
1.9K citations
1–8 of 114
TRR · 5 publications · 309 citations
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4 publications · 108 citations
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3 publications · 553 citations
3
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3 publications · 295 citations
3
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2 publications · 47 citations
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