Genetic Gain Optimization
Genetic Gain Optimization is a computational or statistical framework designed to maximize the rate of improvement in desirable traits through selective breeding by optimally balancing selection intensity, genetic diversity, and prediction accuracy in plant and animal breeding programs.
232
Publications
11.4K
Citations
903
Authors
332
Institutions
Publications per year
2017–2026
105
Parents
232
Molecular Markers in a Commercial Breeding Program
S. R. Eathington, T. M. Crosbie, M. D. Edwards et al. · Crop Science · 2007 · 401 citations
1–5 of 232
903
11
h-index
11
h-index
10
h-index
Scottish Agricultural Science Agency, United Kingdom
8 publications · 195 citations
8
h-index
7
h-index
1–5 of 903
332
Roslin Institute
Dalkeith, United Kingdom
20 h-index
67 publications
3.7K citations

University of Edinburgh
Edinburgh, United Kingdom
16 h-index
53 publications
3.2K citations

Scottish Agricultural Science Agency
Edinburgh, United Kingdom
10 h-index
15 publications
703 citations

Aarhus University
Aarhus, Denmark
9 h-index
29 publications
823 citations

Cornell University
Ithaca, United States
8 h-index
29 publications
5.1K citations
Agriculture and Food
Canberra, Australia
8 h-index
23 publications
1.3K citations
Iowa State University
Ames, United States
8 h-index
25 publications
854 citations
Centro Internacional de Mejoramiento de Maíz Y Trigo
Texcoco, Mexico
7 h-index
18 publications
1.9K citations
1–8 of 332
13 publications · 1.5K citations
13
h-index
13 publications · 633 citations
12
h-index
GSE · 14 publications · 413 citations
12
h-index
11 publications · 472 citations
11
h-index
JDS · 10 publications · 468 citations
10
h-index
1–5