Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize

被引：0
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作者：
Raysa Gevartosky
Humberto Fanelli Carvalho
Germano Costa-Neto
Osval A. Montesinos-López
José Crossa
Roberto Fritsche-Neto
机构：
[1] University of São Paulo,Department of Genetics, Luiz de Queiroz College of Agriculture
[2] Universidad Politécnica de Madrid (UPM),Centro de Biotecnología y Genómica de Plantas (CBGP, UPM
[3] Cornell University,INIA)
[4] Universidad de Colima,Institute for Genomics Diversity
[5] International Maize and Wheat Improvement Center (CIMMYT),Facultad de Telemática
[6] Colegio de Postgraduados,undefined
来源：
BMC Plant Biology | / 23卷
关键词：
Genomic prediction; Training population; Enviromics; Response to selection;
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