Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density
Author:
Funder
fundação de apoio à pesquisa do distrito federal
conselho nacional de desenvolvimento científico e tecnológico
Publisher
Springer Science and Business Media LLC
Subject
Forestry
Link
https://link.springer.com/content/pdf/10.1007/s11056-022-09924-y.pdf
Reference87 articles.
1. ABNT (2003) Wood—Determination of basic density. NBR 11941:2003. ABNT—Assoc Bras Normas Técnicas 6
2. Beaulieu J, Doerksen T, Clément S et al (2014a) Accuracy of genomic selection models in a large population of open-pollinated families in white spruce. Heredity (edinb) 113:343–352. https://doi.org/10.1038/hdy.2014.36
3. Beaulieu J, Doerksen TK, MacKay J, Rainville A, Bousquet J (2014b) Genomic selection accuracies within and between environments and small breeding groups in white spruce. BMC Genom 15:1048
4. Bhandari A, Bartholomé J, Cao-Hamadoun TV et al (2019) Selection of trait-specific markers and multi-environment models improve genomic predictive ability in rice. PLoS ONE 14:e0208871. https://doi.org/10.1371/JOURNAL.PONE.0208871
5. Butcher PA, Skinner AK, Gardiner CA (2005) Increased inbreeding and inter-species gene flow in remnant populations of the rare Eucalyptus benthamii. Conserv Genet 6:213–226. https://doi.org/10.1007/s10592-004-7830-x
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