Genomic prediction applied to high-biomass sorghum for bioenergy production.

Autor: de Oliveira AA; 1Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP 13418-900 Brazil., Pastina MM; Embrapa Maize and Sorghum, Sete Lagoas, Minas Gerais 35701-970 Brazil., de Souza VF; Embrapa Maize and Sorghum, Sete Lagoas, Minas Gerais 35701-970 Brazil., da Costa Parrella RA; Embrapa Maize and Sorghum, Sete Lagoas, Minas Gerais 35701-970 Brazil., Noda RW; Embrapa Maize and Sorghum, Sete Lagoas, Minas Gerais 35701-970 Brazil., Simeone MLF; Embrapa Maize and Sorghum, Sete Lagoas, Minas Gerais 35701-970 Brazil., Schaffert RE; Embrapa Maize and Sorghum, Sete Lagoas, Minas Gerais 35701-970 Brazil., de Magalhães JV; Embrapa Maize and Sorghum, Sete Lagoas, Minas Gerais 35701-970 Brazil., Damasceno CMB; Embrapa Maize and Sorghum, Sete Lagoas, Minas Gerais 35701-970 Brazil., Margarido GRA; 1Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP 13418-900 Brazil.

Publikováno v: Molecular breeding : new strategies in plant improvement [Mol Breed] 2018; Vol. 38 (4), pp. 49. Date of Electronic Publication: 2018 Apr 10.