Genomic Prediction of Grain Yield and Drought-Adaptation Capacity in Sorghum Is Enhanced by Multi-Trait Analysis.

Velazco, Julio G; Jordan, David R; Mace, Emma S; Hunt, Colleen H; Malosetti, Marcos; van Eeuwijk, Fred A

Velazco, Julio G; Jordan, David R; Mace, Emma S; Hunt, Colleen H; Malosetti, Marcos; van Eeuwijk, Fred A.

Afiliación

Velazco JG; Department of Plant Breeding, EEA Pergamino, National Institute of Agricultural Technology (INTA), Pergamino, Argentina.
Jordan DR; Biometris - Mathematical and Statistical Methods, Wageningen University and Research, Wageningen, Netherlands.
Mace ES; Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Facility, The University of Queensland, Warwick, QLD, Australia.
Hunt CH; Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Facility, The University of Queensland, Warwick, QLD, Australia.
Malosetti M; Department of Agriculture and Fisheries, Hermitage Research Facility, Queensland Government, Warwick, QLD, Australia.
van Eeuwijk FA; Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Facility, The University of Queensland, Warwick, QLD, Australia.

Front Plant Sci ; 10: 997, 2019.

Article en En | MEDLINE | ID: mdl-31417601

Palabras clave

BLUP; auxiliary trait; blended kinship matrix; genomic prediction; grain yield; multi-trait analysis; sorghum; stay-green

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2019 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Suiza

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