ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2015
Genomic selection prediction accuracy in a perennial crop: case study of oil palm (Elaeis guineensis Jacq.).
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Transcriptome Analysis Coupled with Metabolome Profiling at a Key Time Point Reveals the Molecular Mechanism of Cold Stress Response in Oil Palm (Plants (Basel, Switzerland) · 2026Article
- Longitudinal genomic prediction of cacao disease resilience identifies robust witches' broom disease targets.Frontiers in plant science · 2026Article
- Regulatory roles of noncoding RNAs in oil palm response to cold stress.Frontiers in plant science · 2025Article
- Metabolomics-Assisted Breeding in Oil Palm: Potential and Current Perspectives.International journal of molecular sciences · 2024Review
- Mate selection: A useful approach to maximize genetic gain and control inbreeding in genomic and conventional oil palm (Elaeis guineensis Jacq.) hybrid breeding.PLoS computational biology · 2023Article
- Genomic prediction in hybrid breeding: I. Optimizing the training set design.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics.Frontiers in plant science · 2023Review
- Genome properties of key oil palm (Elaeis guineensis Jacq.) breeding populations.Journal of applied genetics · 2022Article
- Genomic selection for morphological and yield-related traits using genome-wide SNPs in oil palm.Molecular breeding : new strategies in plant improvement · 2022Article
- A divide-and-conquer approach for genomic prediction in rubber tree using machine learning.Scientific reports · 2022Article
- Genomic selection in tropical perennial crops and plantation trees: a review.Molecular breeding : new strategies in plant improvement · 2022Review
- First genomic prediction and genome-wide association for complex growth-related traits in Rock Bream (Evolutionary applications · 2022Article
- Improving the accuracy of genomic predictions in an outcrossing species with hybrid cultivars between heterozygote parents: a case study of oil palm (Elaeis guineensis Jacq.).Molecular genetics and genomics : MGG · 2022Article
- Accuracy of genomic selection for alfalfa biomass yield in two full-sib populations.Frontiers in plant science · 2022Article
- Genomic Prediction of Complex Traits in Perennial Plants: A Case for Forest Trees.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Inheritance of Yield Components and Morphological Traits in Avocado cv. Hass From "Criollo" "Elite Trees"Frontiers in plant science · 2022Article
- Building a Calibration Set for Genomic Prediction, Characteristics to Be Considered, and Optimization Approaches.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Crop genomic selection with deep learning and environmental data: A survey.Frontiers in artificial intelligence · 2022Review
- Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine.G3 (Bethesda, Md.) · 2021Article
- In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance toMolecular breeding : new strategies in plant improvement · 2021Article
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12 authors.
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Abstract
key messageGenomic selection empirically appeared valuable for reciprocal recurrent selection in oil palm as it could account for family effects and Mendelian sampling terms, despite small populations and low marker density. Genomic selection (GS) can increase the genetic gain in plants. In perennial crops, this is expected mainly through shortened breeding cycles and increased selection intensity, which requires sufficient GS accuracy in selection candidates, despite often small training populations. Our objective was to obtain the first empirical estimate of GS accuracy in oil palm (Elaeis guineensis), the major world oil crop. We used two parental populations involved in conventional reciprocal recurrent selection (Deli and Group B) with 131 individuals each, genotyped with 265 SSR. We estimated within-population GS accuracies when predicting breeding values of non-progeny-tested individuals for eight yield traits. We used three methods to sample training sets and five statistical methods to estimate genomic breeding values. The results showed that GS could account for family effects and Mendelian sampling terms in Group B but only for family effects in Deli. Presumably, this difference between populations originated from their contrasting breeding history. The GS accuracy ranged from -0.41 to 0.94 and was positively correlated with the relationship between training and test sets. Training sets optimized with the so-called CDmean criterion gave the highest accuracies, ranging from 0.49 (pulp to fruit ratio in Group B) to 0.94 (fruit weight in Group B). The statistical methods did not affect the accuracy. Finally, Group B could be preselected for progeny tests by applying GS to key yield traits, therefore increasing the selection intensity. Our results should be valuable for breeding programs with small populations, long breeding cycles, or reduced effective size.
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