Multivariate genomic model improves analysis of oil palm (Elaeis guineensis Jacq.) progeny tests

Molecular Breeding

Volumn 36, Issue 1, 2016, Pages 1-13

  Marchal, Alexandre ^a   Legarra, Andrés ^b   Tisné, Sébastien ^a   Carasco Lacombe, Catherine ^a   Manez, Aurore ^a   Suryana, Edyana ^c   Omoré, Alphonse ^d   Nouy, Bruno ^e   Durand Gasselin, Tristan ^e   Sánchez, Leopoldo ^f   Bouvet, Jean Marc ^a   Cros, David ^a  

^a UMR AGAP   (France)

^b UMR1388 GenPhySE   (France)

^c PT SOCFINDO Medan   (Indonesia)

^d INRAB   (Benin)

^e PalmElit SAS   (France)

^f National Institute for Agricultural Research   (France)

Author keywords

Accuracy; Elaeis guineensis; Empirical data; Genomic selection; Multivariate model; Reciprocal recurrent selection

Indexed keywords

CROPS; DNA SEQUENCES; GENES; MULTIVARIANT ANALYSIS; PALM OIL;

ACCURACY; ELAEIS GUINEENSIS; EMPIRICAL DATA; GENERAL COMBINING ABILITIES; GENOMIC SELECTION; GENOMICS; MULTIVARIATE MODELING; PROGENY TESTS; RECIPROCAL RECURRENT SELECTION; RECURRENT SELECTION;

GENOME;

EID: 84954317569     PISSN: 13803743     EISSN: 15729788     Source Type: Journal    
DOI: 10.1007/s11032-015-0423-1     Document Type: Article

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