Selection Response Modeling
Selection Response Modeling is a computational framework that belongs to the class of predictive modeling techniques in evolutionary biology and artificial selection studies, differing by specifically quantifying the expected change in phenotypic or genetic traits of a population in response to imposed selection pressures over successive generations.
178
Publications
9.5K
Citations
473
Authors
206
Institutions
Publications per year
2017–2026
28
Parents
178
1–5 of 178
473
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206
University of Guelph
Guelph, Canada
10 h-index
17 publications
824 citations

University of Edinburgh
Edinburgh, United Kingdom
9 h-index
15 publications
1K citations
Wageningen University & Research
Wageningen, The Netherlands
7 h-index
17 publications
1.1K citations
North Carolina State University
Raleigh, United States
7 h-index
12 publications
217 citations
Universitat Politècnica de València
Valencia, Spain
6 h-index
14 publications
1.3K citations
Centro Internacional de Mejoramiento de Maíz Y Trigo
Texcoco, Mexico
5 h-index
11 publications
584 citations
Département Génétique Animale
Castanet-Tolosan, France
5 h-index
9 publications
496 citations
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
Madrid, Spain
4 h-index
6 publications
104 citations
1–8 of 206
18 publications · 808 citations
14
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14 publications · 660 citations
13
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13 publications · 1.1K citations
12
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GSE · 10 publications · 457 citations
10
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9 publications · 387 citations
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