title: Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.
abstract: The availability of dense molecular markers has made possible the use of genomic selection (GS) for plant breeding. However, the evaluation of models for GS in real plant populations is very limited. This article evaluates the performance of parametric and semiparametric models for GS using wheat (Triticum aestivum L.) and maize (Zea mays) data in which different traits were measured in several environmental conditions. The findings, based on extensive cross-validations, indicate that models including marker information had higher predictive ability than pedigree-based models. In the wheat data set, and relative to a pedigree model, gains in predictive ability due to inclusion of markers ranged from 7.7 to 35.7%. Correlation between observed and predictive values in the maize data set achieved values up to 0.79. Estimates of marker effects were different across environmental conditions, indicating that genotype × environment interaction is an important component of genetic variability. These results indicate that GS in plant breeding can be an effective strategy for selecting among lines whose phenotypes have yet to be observed.
authors.affiliation: School of Land Crop and Food Sciences, University of Queensland, 4072, Sta. Lucia, Queensland, Australia. j.crossa@cgiar.org
authors.forename: José
authors.initials: J
authors.lastname: Crossa
authors.forename: Gustavo de Los
authors.initials: Gde L
authors.lastname: Campos
authors.forename: Paulino
authors.initials: P
authors.lastname: Pérez
authors.forename: Daniel
authors.initials: D
authors.lastname: Gianola
authors.forename: Juan
authors.initials: J
authors.lastname: Burgueño
authors.forename: José Luis
authors.initials: JL
authors.lastname: Araus
authors.forename: Dan
authors.initials: D
authors.lastname: Makumbi
authors.forename: Ravi P
authors.initials: RP
authors.lastname: Singh
authors.forename: Susanne
authors.initials: S
authors.lastname: Dreisigacker
authors.forename: Jianbing
authors.initials: J
authors.lastname: Yan
authors.forename: Vivi
authors.initials: V
authors.lastname: Arief
authors.forename: Marianne
authors.initials: M
authors.lastname: Banziger
authors.forename: Hans-Joachim
authors.initials: HJ
authors.lastname: Braun
mesh_terms: D001499:Bayes Theorem; D001947:Breeding; D003627:Data Interpretation, Statistical; D005819:Genetic Markers; D014644:Genetic Variation; D005838:Genotype; D008957:Models, Genetic; D015233:Models, Statistical; D010641:Phenotype; D019655:Quantitative Trait, Heritable; D012098:Reproduction / Q000235:genetics; D012641:Selection, Genetic; D014908:Triticum / Q000235:genetics*; D003313:Zea mays / Q000235:genetics*
chemical_list: D005819:Genetic Markers
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