ArticleFrontiers in plant science2018
Prospects and Potential Uses of Genomic Prediction of Key Performance Traits in Tetraploid Potato.
Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed.
- Highly Polygenic Control of Photosynthetic Responses to Nighttime Temperature Studied by Genomic Prediction.Plant, cell & environment · 2026Article
- AI Agents and Agentic AI in plant breeding: new frontiers, opportunities and challenges.Frontiers in genetics · 2026Article
- PotatoMASH is a cost-effective marker system for genomic prediction in potato based on short-read haplotypes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Leveraging unmanned aerial vehicle derived multispectral data for improved genomic prediction in potato (Solanum tuberosum).The plant genome · 2025Article
- The transmission ability in a population of elite tetraploid potatoes.The plant genome · 2025Article
- Transferability of genomic prediction models across market segments in potato and the effect of selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genomic prediction for potato (Solanum tuberosum) quality traits improved through image analysis.The plant genome · 2024Article
- Integrating targeted genetic markers to genotyping-by-sequencing for an ultimate genotyping tool.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Multienvironment genomic prediction in tetraploid potato.G3 (Bethesda, Md.) · 2024Article
- Using drone-retrieved multispectral data for phenomic selection in potato breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- To be or not to be tetraploid-the impact of marker ploidy on genomic prediction and GWAS of potato.Frontiers in plant science · 2024Article
- Variance and covariance components of agronomic and quality traits assessed in tetraploid potato and their implications on practical breeding.Frontiers in plant science · 2024Article
- The effect of marker types and density on genomic prediction and GWAS of key performance traits in tetraploid potato.Frontiers in plant science · 2024Article
- Optimal implementation of genomic selection in clone breeding programs-Exemplified in potato: I. Effect of selection strategy, implementation stage, and selection intensity on short-term genetic gain.The plant genome · 2023Article
- Toward combining qualitative race-specific and quantitative race-nonspecific disease resistance by genomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genomic prediction using information across years with epistatic models and dimension reduction via haplotype blocks.PloS one · 2023Article
- Genome-wide association mapping and genomic prediction for late blight and potato cyst nematode resistance in potato (Frontiers in plant science · 2023Article
- Evaluating the impact of modeling the family effect for clonal selection in potato-breeding programs.Frontiers in plant science · 2023Article
- Recent Advances in Molecular Improvement for Potato Tuber Traits.International journal of molecular sciences · 2022Review
- The power of genomic estimated breeding values for selection when using a finite population size in genetic improvement of tetraploid potato.G3 (Bethesda, Md.) · 2022Article
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Abstract
Genomic prediction is a routine tool in breeding programs of most major animal and plant species. However, its usefulness for potato breeding has not yet been evaluated in detail. The objectives of this study were to (i) examine the prospects of genomic prediction of key performance traits in a diversity panel of tetraploid potato modeling additive, dominance, and epistatic effects, (ii) investigate the effects of size and make up of training set, number of test environments and molecular markers on prediction accuracy, and (iii) assess the effect of including markers from candidate genes on the prediction accuracy. With genomic best linear unbiased prediction (GBLUP), BayesA, BayesCπ, and Bayesian LASSO, four different prediction methods were used for genomic prediction of relative area under disease progress curve after a
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