The importance of phenotypic data analysis for genomic prediction - a case study comparing different spatial models in rye

BMC Genomics

Volumn 15, Issue 1, 2014, Pages

  Bernal Vasquez, Angela Maria ^a   Möhring, Jens ^a   Schmidt, Malthe ^b   Schönleben, Manfred ^c   Schön, Chris Carolin ^c   Piepho, Hans Peter ^a  

^a UNIVERSITY OF HOHENHEIM   (Germany)

^b KWS LOCHOW GmbH   (Germany)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Cross validation; Genomic prediction; Multi environment trials (MET); Restricted maximum likelihood (REML); Spatial models; Stage wise analysis

Indexed keywords

ARTICLE; CASE STUDY; CONTROLLED STUDY; DATA ANALYSIS; GENETIC PROCEDURES; GENOMIC PREDICTION; GENOTYPE; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; PHENOTYPE; PLANT BREEDING; PLANT GENOME; PREDICTION; RYE; SPATIAL ANALYSIS; VALIDATION PROCESS; COMPARATIVE STUDY; GENETICS; GENOMICS; PROCEDURES; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS;

SECALE CEREALE;

GENOMICS; MODELS, STATISTICAL; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SECALE CEREALE; STATISTICS AS TOPIC;

EID: 84905821093     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-15-646     Document Type: Article

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