Training Population Optimization
Training Population Optimization is a methodological framework within training population design that systematically enhances the selection, composition, and structuring of training data to maximize model performance, generalizability, and learning efficiency under specified constraints.
29
Publications
2K
Citations
133
Authors
85
Institutions
Publications per year
2017–2026
18
Parents
29
Optimal Design of Preliminary Yield Trials with Genome‐Wide Markers
Jeffrey B. Endelman, G. N. Atlin, Yoseph Beyene et al. · Crop Science · 2013 · 149 citations · Full text
Agriculture, Crop Sciences, Genetics +11
Jose Martin Sarinelli, J. Paul Murphy, Priyanka Tyagi et al. · Theoretical and Applied Genetics · 2019 · 125 citations · Full text
1–5 of 29
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Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Spain
4 publications · 607 citations
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2
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1–5 of 133
85

Cornell University
Ithaca, United States
5 h-index
13 publications
2.2K citations
Robert W. Holley Center for Agriculture & Health
Ithaca, United States
3 h-index
3 publications
261 citations
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Paris, France
3 h-index
13 publications
796 citations

University of Georgia
Athens, United States
2 h-index
3 publications
285 citations

University of Minnesota
Minneapolis, United States
2 h-index
7 publications
148 citations
University College Dublin
Dublin, Ireland
2 h-index
2 publications
173 citations
Université Paris-Saclay
Gif-sur-Yvette, France
2 h-index
6 publications
441 citations
Centre for Plant Biotechnology and Genomics
Pozuelo de Alarcón, Spain
2 h-index
3 publications
129 citations
1–8 of 85
5 publications · 660 citations
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4 publications · 167 citations
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2 publications · 232 citations
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2 publications · 140 citations
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2 publications · 68 citations
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