Improvement of prediction ability by integrating multi-omic datasets in barley.

Wu, Po-Ya; Stich, Benjamin; Weisweiler, Marius; Shrestha, Asis; Erban, Alexander; Westhoff, Philipp; Inghelandt, Delphine Van

Wu, Po-Ya; Stich, Benjamin; Weisweiler, Marius; Shrestha, Asis; Erban, Alexander; Westhoff, Philipp; Inghelandt, Delphine Van.

Afiliação

Wu PY; Institute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf, 40225, Germany.
Stich B; Institute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf, 40225, Germany.
Weisweiler M; Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University, Düsseldorf, 40225, Germany.
Shrestha A; Institute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf, 40225, Germany.
Erban A; Institute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf, 40225, Germany.
Westhoff P; Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, 14476, Germany.
Inghelandt DV; Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University, Düsseldorf, 40225, Germany.

BMC Genomics ; 23(1): 200, 2022 Mar 12.

Article em En | MEDLINE | ID: mdl-35279073

Assuntos

Hordeum; Genômica/métodos; Hordeum/genética; Modelos Genéticos; Fenótipo; Melhoramento Vegetal

Palavras-chave

Barley; Deleterious SV; Genomic prediction; Metabolome; Omic prediction; Transcriptome

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hordeum Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

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