ArticleBMC plant biology2017
Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F
Article in BMC plant biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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63 citing papers in PubMed.
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- Genetic parameters estimation and optimization of genomic selection in mud crab (Scylla paramamosain): a case study for growth-related traits.BMC genomics · 2025Article
- Assessment of genomic prediction capabilities of transcriptome data in a barley multi-parent RIL population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Quantifying genetic and genotypic gain gaps in Eucalyptus: the hidden cost of ignoring inbreeding and dominance.Heredity · 2025Article
- Genomic prediction for heat and herbicide tolerance in faba bean.The plant genome · 2025Article
- Genomic Prediction of Adaptation in Common Bean (International journal of molecular sciences · 2025Article
- Cross-generational genomic prediction of Norway spruce (Picea abies) wood properties: an evaluation using independent validation.BMC genomics · 2025Article
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- Forest tree breeding using genomic Markov causal models: a new approach to genomic tree breeding improvement.Heredity · 2025Article
- Integrating evolutionary genomics of forest trees to inform future tree breeding amid rapid climate change.Plant communications · 2024Review
- Integrating environmental gradients into breeding: application of genomic reactions norms in a perennial species.Heredity · 2024Article
- Genomic dissection of additive and non-additive genetic effects and genomic prediction in an open-pollinated family test of Japanese larch.BMC genomics · 2024Article
- Genomic evaluation for breeding and genetic management in Cordia africana, a multipurpose tropical tree species.BMC genomics · 2024Article
- Comparison of ddRADseq and EUChip60K SNP genotyping systems for population genetics and genomic selection inFrontiers in genetics · 2024Article
- Genomic selection for growth characteristics in Korean red pine (Frontiers in plant science · 2024Article
- Explainable artificial intelligence for genotype-to-phenotype prediction in plant breeding: a case study with a dataset from an almond germplasm collection.Frontiers in plant science · 2024Article
3 more citing papers are in PubMed but not listed here.
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6 authors.
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Abstract
backgroundGenomic prediction is a genomics assisted breeding methodology that can increase genetic gains by accelerating the breeding cycle and potentially improving the accuracy of breeding values. In this study, we use 41,304 informative SNPs genotyped in a Eucalyptus breeding population involving 90 E.grandis and 78 E.urophylla parents and their 949 F
resultsHeritabilities estimated using the realized genomic relationship matrix (GRM) were considerably higher than estimates based on the expected pedigree, mainly due to inconsistencies in the expected pedigree that were readily corrected by the GRM. Moreover, the GRM more precisely capture Mendelian sampling among related individuals, such that the genetic covariance was based on the true proportion of the genome shared between individuals. PA improved considerably when increasing the size of the training set and by enhancing relatedness to the validation set. Prediction models trained on pure species parents could not predict well in F
conclusionsThe size and composition of the training set and number of SNPs used are the two most important factors for model prediction, compared to the statistical methods and the genomic location of SNPs. Furthermore, training the prediction model based on pure parental species only provide limited ability to predict traits in interspecific hybrids. Our results provide additional promising perspectives for the implementation of genomic prediction in Eucalyptus breeding programs by the selection of interspecific hybrids.
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