Multi-environment Genomic Selection
Multi-Environment Genomic Selection is a genomic prediction methodology that integrates genotype-by-environment interaction effects into the modeling framework to improve the accuracy of breeding value estimation across multiple environmental conditions.
121
Publications
10.9K
Citations
532
Authors
208
Institutions
Publications per year
2017–2026
85
Parents
Children
Deep Learning Genomic PredictionEnsemble Genomic PredictionEnvironmental Covariate ModelingGenotype Stability AnalysisKernel-based Genomic PredictionMulti-objective Selection IndexMulti-trait Multi-environment PredictionPhenotype Imputation Across EnvironmentsQuantitative Trait Locus By Environment InteractionSparse Phenotyping
121
1–5 of 121
532
Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico
26 publications · 3.6K citations
24
h-index
12
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11
h-index
8
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8
h-index
1–5 of 532
208
Centro Internacional de Mejoramiento de Maíz Y Trigo
Texcoco, Mexico
22 h-index
101 publications
17.4K citations

Cornell University
Ithaca, United States
14 h-index
47 publications
6.5K citations
Colegio de Postgraduados
Montecillo, Mexico
13 h-index
17 publications
2.8K citations

Universidad de Colima
Colima, Mexico
12 h-index
16 publications
1.4K citations
University of Wisconsin–Madison
Madison, United States
9 h-index
12 publications
2.3K citations
Kansas State University
Manhattan, United States
8 h-index
12 publications
1.7K citations
Wageningen University & Research
Wageningen, The Netherlands
8 h-index
20 publications
2.2K citations
Robert W. Holley Center for Agriculture & Health
Ithaca, United States
7 h-index
7 publications
1.3K citations
1–8 of 208
15 publications · 2.3K citations
15
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13 publications · 1.1K citations
13
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14 publications · 1.1K citations
13
h-index
9 publications · 845 citations
9
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9 publications · 291 citations
9
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