Bayesian Genomic Selection
Bayesian Genomic Selection is a statistical modeling framework within genomic selection that employs Bayesian inference methods to estimate the effects of genetic markers on nutritional traits by incorporating prior distributions and updating them with observed phenotypic and genotypic data.
143
Publications
12.8K
Citations
674
Authors
262
Institutions
Publications per year
2017–2026
67
143
Extension of the bayesian alphabet for genomic selection
David Habier, Rohan L. Fernando, Dorian J. Garrick · BMC Bioinformatics · 2011 · 1.3K citations · Full text
Agriculture, Biostatistics, Genetics +14
Genomic Selection in Plant Breeding: A Comparison of Models
Nicolas Heslot, Hsiao‐Pei Yang, Mark E. Sorrells et al. · Crop Science · 2011 · 689 citations
1–5 of 143
674
Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico
11 publications · 1K citations
11
h-index
9
h-index
7
h-index
7
h-index
7
h-index
1–5 of 674
262
Centro Internacional de Mejoramiento de Maíz Y Trigo
Texcoco, Mexico
10 h-index
36 publications
3.3K citations
Colegio de Postgraduados
Montecillo, Mexico
10 h-index
15 publications
1K citations
Brazilian Agricultural Research Corporation
Brasília, Brazil
10 h-index
35 publications
2K citations
Iowa State University
Ames, United States
10 h-index
34 publications
8K citations

Norwegian University of Life Sciences
Ås, Norway
9 h-index
16 publications
868 citations

Universidade Federal de Viçosa
Viçosa, Brazil
8 h-index
30 publications
1.5K citations

Aarhus University
Aarhus, Denmark
7 h-index
21 publications
794 citations

University of Edinburgh
Edinburgh, United Kingdom
7 h-index
12 publications
425 citations
1–8 of 262
GSE · 24 publications · 2.4K citations
20
h-index
8 publications · 887 citations
8
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6 publications · 641 citations
6
h-index
6 publications · 180 citations
6
h-index
5 publications · 821 citations
5
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1–5