Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Genomic Best Linear Unbiased Predictor (GBLUP) linear kernel"'
Autor:
Massaine Bandeira e Sousa, Jaime Cuevas, Evellyn Giselly de Oliveira Couto, Paulino Pérez-Rodríguez, Diego Jarquín, Roberto Fritsche-Neto, Juan Burgueño, Jose Crossa
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 7, Iss 6, Pp 1995-2014 (2017)
Multi-environment trials are routinely conducted in plant breeding to select candidates for the next selection cycle. In this study, we compare the prediction accuracy of four developed genomic-enabled prediction models: (1) single-environment, main
Externí odkaz:
https://doaj.org/article/f46e0ffe057748c1bf64076bc04399b7
Autor:
José Crossa, Massaine Bandeira e Sousa, Roberto Fritsche-Neto, Paulino Pérez-Rodríguez, Diego Jarquin, Jaime Cuevas, Evellyn Giselly de Oliveira Couto, Juan Burgueño
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
G3: Genes, Genomes, Genetics, Vol 7, Iss 6, Pp 1995-2014 (2017)
G3: Genes|Genomes|Genetics
Universidade de São Paulo (USP)
instacron:USP
G3: Genes, Genomes, Genetics, Vol 7, Iss 6, Pp 1995-2014 (2017)
G3: Genes|Genomes|Genetics
Multi-environment trials are routinely conducted in plant breeding to select candidates for the next selection cycle. In this study, we compare the prediction accuracy of four developed genomic-enabled prediction models: (1) single-environment, main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d18b2292f9c8d476a2aa1bfb04c4219
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