ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2015
Genomic approaches to selection in outcrossing perennials: focus on essential oil crops.
Review 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 14 papers.
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Who cites it
14 citing papers in PubMed.
- Chromosome-scale genome assembly and genomic prediction of essential oil compounds in Atractylodes lancea for genomics-assisted breeding.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026Article
- Longitudinal genomic prediction of cacao disease resilience identifies robust witches' broom disease targets.Frontiers in plant science · 2026Article
- Genomic selection shows improved expected genetic gain over phenotypic selection of agronomic traits in allotetraploid white clover.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Ability of Genomic Prediction to Bi-Parent-Derived Breeding Population Using Public Data for Soybean Oil and Protein Content.Plants (Basel, Switzerland) · 2024Article
- Enhancing prediction accuracy of foliar essential oil content, growth, and stem quality inFrontiers in plant science · 2024Article
- A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple.Journal of advanced research · 2022Article
- Genomic selection for morphological and yield-related traits using genome-wide SNPs in oil palm.Molecular breeding : new strategies in plant improvement · 2022Article
- Short-term changes related to autotetraploidy in essential oil composition of Eucalyptus benthamii Maiden & Cambage and its applications in different bioassays.Scientific reports · 2021Article
- Quantitative trait loci-based genomics-assisted prediction for the degree of apple fruit cover color.The plant genome · 2020Article
- Genomics-assisted prediction of salt and alkali tolerances and functional marker development in apple rootstocks.BMC genomics · 2020Article
- Article
- Accuracy of Genomic Prediction for Foliar Terpene Traits inG3 (Bethesda, Md.) · 2018Article
- Evaluation of methods and marker Systems in Genomic Selection of oil palm (Elaeis guineensis Jacq.).BMC genetics · 2017Article
- Genome-wide identification of markers for selecting higher oil content in oil palm.BMC plant biology · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The yield of essential oil in commercially harvested perennial species (e.g. 'Oil Mallee' eucalypts, Tea Trees and Hop) is dependent on complex quantitative traits such as foliar oil concentration, biomass and adaptability. These often show large natural variation and some are highly heritable, which has enabled significant gains in oil yield via traditional phenotypic recurrent selection. Analysis of transcript abundance and allelic diversity has revealed that essential oil yield is likely to be controlled by large numbers of quantitative trait loci that range from a few of medium/large effect to many of small effect. Molecular breeding techniques that exploit this information could increase gains per unit time and address complications of traditional breeding such as genetic correlations between key traits and the lower heritability of biomass. Genomic selection (GS) is a technique that uses the information from markers genotyped across the whole genome in order to predict the phenotype of progeny well before they reach maturity, allowing selection at an earlier age. In this review, we investigate the feasibility of genomic selection (GS) for the improvement of essential oil yield. We explore the challenges facing breeders selecting for oil yield, and how GS might deal with them. We then assess the factors that affect the accuracy of genomic estimated breeding values, such as linkage disequilibrium (LD), heritability, relatedness and the genetic architecture of desirable traits. We conclude that GS has the potential to significantly improve the efficiency of selection for essential oil yield.
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