Omics-based hybrid prediction in maize

Key message Complementing genomic data with other “omics” predictors can increase the probability of success for predicting the best hybrid combinations using complex agronomic traits . Accurate prediction of traits with complex genetic architecture is crucial for selecting superior candidates in an...

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Veröffentlicht in:	Theoretical and applied genetics 2017-09, Vol.130 (9), p.1927-1939
Hauptverfasser:	Westhues, Matthias, Schrag, Tobias A., Heuer, Claas, Thaller, Georg, Utz, H. Friedrich, Schipprack, Wolfgang, Thiemann, Alexander, Seifert, Felix, Ehret, Anita, Schlereth, Armin, Stitt, Mark, Nikoloski, Zoran, Willmitzer, Lothar, Schön, Chris C., Scholten, Stefan, Melchinger, Albrecht E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Biochemistry Biomedical and Life Sciences Biotechnology Breeding Chromosome Mapping Corn Developmental stages Dry matter Epistasis Genetic aspects Genomics Hybrid Vigor Inbreeding Information processing Integration Life Sciences Medicinal plants Metabolomics Methods Models, Genetic Observations Offspring Original Article Phenotype Plant Biochemistry Plant Breeding Plant Breeding/Biotechnology Plant Genetics and Genomics Precision medicine Quantitative Trait Loci Quantitative Trait, Heritable Transcriptome Zea mays - genetics
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