Genome-Based Genotype × Environment Prediction Enhances Potato (<i>Solanum tuberosum</i> L.) Improvement Using Pseudo-Diploid and Polysomic Tetraploid Modeling.

Ortiz, Rodomiro; Crossa, José; Reslow, Fredrik; Perez-Rodriguez, Paulino; Cuevas, Jaime

Genome-Based Genotype × Environment Prediction Enhances Potato (Solanum tuberosum L.) Improvement Using Pseudo-Diploid and Polysomic Tetraploid Modeling.

Ortiz, Rodomiro; Crossa, José; Reslow, Fredrik; Perez-Rodriguez, Paulino; Cuevas, Jaime.

Afiliación

Ortiz R; Department of Plant Breeding, Swedish University of Agricultural Sciences (SLU), Lomma, Sweden.
Crossa J; International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Reslow F; Department of Plant Breeding, Swedish University of Agricultural Sciences (SLU), Lomma, Sweden.
Perez-Rodriguez P; Colegio de Postgraduados, Montecillos, Mexico.
Cuevas J; División de Ciencias, Ingeniería y Tecnologías, Universidad de Quintana Roo, Chetumal, Mexico.

Front Plant Sci ; 13: 785196, 2022.

Article en En | MEDLINE | ID: mdl-35197995

Palabras clave

Solanum tuberosum; genetic gains in plant breeding; genomic-enabled predictions; multi-environment trials; potato breeding

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Suecia

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google