2011
DOI: 10.1186/1753-6561-5-s7-o16
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Genomic Selection for growth traits in Eucalyptus: accuracy within and across breeding populations

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Cited by 21 publications
(17 citation statements)
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“…Ever since the first experimental GS studies in forest trees (Grattapaglia et al, 2011 ; Resende et al, 2012a , b ), it became clear that prediction accuracies are mainly driven by genetic relationship between training and validation sets and are dependent on G * E and age-age correlations. Predictions will be most effective at the same age and in the same environment where the prediction model was trained.…”
Section: Gs: Advances and Challenges In Forest Treesmentioning
confidence: 99%
“…Ever since the first experimental GS studies in forest trees (Grattapaglia et al, 2011 ; Resende et al, 2012a , b ), it became clear that prediction accuracies are mainly driven by genetic relationship between training and validation sets and are dependent on G * E and age-age correlations. Predictions will be most effective at the same age and in the same environment where the prediction model was trained.…”
Section: Gs: Advances and Challenges In Forest Treesmentioning
confidence: 99%
“…GS of perennial crops is considered to be more effective than annual crops because of their long generation times. GEBV predictions based on empirical data were presented for Loblolly pine and eucalyptus at the IUFRO Tree Biotechnology Conference 2011 (Table 2 ; Grattapaglia et al , 2011 ; Isik et al , 2011 ; Resende et al , 2011 ). All cases used full-sib families as test populations and the number of individuals ranged from 149 to 920.…”
Section: Recent Progress In Gs Studiesmentioning
confidence: 99%
“…By using high density markers covering the whole genome, instead of few significant markers, GS selects favourable individuals based on genomic estimate of breeding value (GEBV) and is expected to address small effect genes that cannot be captured by traditional QTL mapping (Meuwissen et al 2001;Hayes et al 2009). Conventional microarray DArT markers have been successfully applied for GS of wheat (Crossa et al 2010;Rutkoski et al 2012), sugarcane (Guoy et al 2013) and forest trees Eucalyptus (Grattapaglia et al 2011;Resende et al 2012).…”
Section: Discussionmentioning
confidence: 99%