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Genomic Prediction of Grain Yield in a Barley MAGIC Population Modeling Genotype per Environment Interaction.
Puglisi, Damiano; Delbono, Stefano; Visioni, Andrea; Ozkan, Hakan; Kara, Ibrahim; Casas, Ana M; Igartua, Ernesto; Valè, Giampiero; Piero, Angela Roberta Lo; Cattivelli, Luigi; Tondelli, Alessandro; Fricano, Agostino.
Afiliación
  • Puglisi D; Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), Università di Catania, Catania, Italy.
  • Delbono S; Council for Agricultural Research and Economics-Research Centre for Genomics and Bioinformatics, Fiorenzuola d'Arda, Italy.
  • Visioni A; Biodiversity and Crop Improvement Program, International Center for Agricultural Research in the Dry Areas, Avenue Hafiane Cherkaoui, Rabat, Morocco.
  • Ozkan H; Department of Field Crops, Faculty of Agriculture, University of Cukurova, Adana, Turkey.
  • Kara I; Bahri Dagdas International Agricultural Research Institute, Konya, Turkey.
  • Casas AM; Aula Dei Experimental Station (EEAD-CSIC), Spanish Research Council, Zaragoza, Spain.
  • Igartua E; Aula Dei Experimental Station (EEAD-CSIC), Spanish Research Council, Zaragoza, Spain.
  • Valè G; DiSIT, Dipartimento di Scienze e Innovazione Tecnologica, Università del Piemonte Orientale, Vercelli, Italy.
  • Piero ARL; Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), Università di Catania, Catania, Italy.
  • Cattivelli L; Council for Agricultural Research and Economics-Research Centre for Genomics and Bioinformatics, Fiorenzuola d'Arda, Italy.
  • Tondelli A; Council for Agricultural Research and Economics-Research Centre for Genomics and Bioinformatics, Fiorenzuola d'Arda, Italy.
  • Fricano A; Council for Agricultural Research and Economics-Research Centre for Genomics and Bioinformatics, Fiorenzuola d'Arda, Italy.
Front Plant Sci ; 12: 664148, 2021.
Article en En | MEDLINE | ID: mdl-34108982
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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: 2021 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

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: 2021 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza