Kernel-based Genomic Prediction
Kernel-Based Genomic Prediction is a genomic prediction method that employs kernel functions to model nonlinear relationships between genotypes and phenotypes by mapping genetic marker data into a higher-dimensional space where pairwise similarities are quantified to improve predictive accuracy across environments.
47
Publications
4.7K
Citations
240
Authors
111
Institutions
Publications per year
2017–2026
31
47
Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models
Jaime Cuevas, José Crossa, Víctor Soberanis et al. · The Plant Genome · 2016 · 186 citations · Full text
1–5 of 47
240
Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico
10 publications · 1.1K citations
10
h-index
6
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6
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5
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4
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1–5 of 240
111
Centro Internacional de Mejoramiento de Maíz Y Trigo
Texcoco, Mexico
9 h-index
26 publications
2.6K citations
University of Quintana Roo
Chetumal, Mexico
6 h-index
8 publications
853 citations
Colegio de Postgraduados
Montecillo, Mexico
6 h-index
9 publications
822 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
12 publications
1.9K citations

Universidad de Colima
Colima, Mexico
5 h-index
6 publications
288 citations
Universidade de São Paulo
São Paulo, Brazil
4 h-index
9 publications
850 citations
China Agricultural University
Beijing, China
3 h-index
5 publications
136 citations

University of Göttingen
Göttingen, Germany
3 h-index
8 publications
489 citations
1–8 of 111
6 publications · 301 citations
6
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5 publications · 311 citations
5
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3 publications · 82 citations
3
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3 publications · 2.4K citations
3
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1 publications · 41 citations
2
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1–5