Maximizing the reliability of genomic selection by optimizing the calibration set of reference individuals: comparison of methods in two diverse groups of maize inbreds (Zea mays L.)

Genomic selection refers to the use of genotypic information for predicting breeding values of selection candidates. A prediction formula is calibrated with the genotypes and phenotypes of reference individuals constituting the calibration set. The size and the composition of this set are essential...

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Veröffentlicht in:	Genetics (Austin) 2012-10, Vol.192 (2), p.715-728
Hauptverfasser:	Rincent, R, Laloë, D, Nicolas, S, Altmann, T, Brunel, D, Revilla, P, Rodríguez, V M, Moreno-Gonzalez, J, Melchinger, A, Bauer, E, Schoen, C-C, Meyer, N, Giauffret, C, Bauland, C, Jamin, P, Laborde, J, Monod, H, Flament, P, Charcosset, A, Moreau, L
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural sciences Algorithms Comparative studies Corn Genetic Association Studies Genetic Variation Genetics, Population Genome, Plant Genomics Genotype & phenotype Inbreeding Investigations Life Sciences Models, Statistical Phenotype Polymorphism, Single Nucleotide - genetics Reference Standards Selection, Genetic Zea mays - genetics
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