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ToolsLindqvist-Kreuze, Hannele, de Boeck, Bert, Unger, Paula, Gemenet, Dorcus, Li, Xianping, Pan, Zhechao, Sui, Qinjun, Qin, Junhong, Woldegjorgis, Gebremedhin, Negash, Kassaye, Seid, Ibrahim, Hirut, Betaw, Gastelo, Manuel, de Vega, Jose and Bonierbale, Merideth (2021) Global multi-environment resistance QTL for foliar late blight resistance in tetraploid potato with tropical adaptation. G3: Genes, Genomes, Genetics, 11 (11). ISSN 2160-1836
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Abstract
The identification of environmentally stable and globally predictable resistance to potato late blight is challenged by the clonal and polyploid nature of the crop and the rapid evolution of the pathogen. A diversity panel of tetraploid potato germplasm bred for multiple resistance and quality traits was genotyped by genotyping by sequencing (GBS) and evaluated for late blight resistance in three countries where the International Potato Center (CIP) has established breeding work. Health-indexed, in vitro plants of 380 clones and varieties were distributed from CIP headquarters and tuber seed was produced centrally in Peru, China, and Ethiopia. Phenotypes were recorded following field exposure to local isolates of Phytophthora infestans. QTL explaining resistance in four experiments conducted across the three countries were identified in chromosome IX, and environment-specific QTL were found in chromosomes III, V, and X. Different genetic models were evaluated for prediction ability to identify best performing germplasm in each and all environments. The best prediction ability (0.868) was identified with the genomic best linear unbiased predictors (GBLUPs) when using the diploid marker data and QTL-linked markers as fixed effects. Genotypes with high levels of resistance in all environments were identified from the B3, LBHT, and B3-LTVR populations. The results show that many of the advanced clones bred in Peru for high levels of late blight resistance maintain their resistance in Ethiopia and China, suggesting that the centralized selection strategy has been largely successful.
| Item Type: | Article |
|---|---|
| Additional Information: | Data availability: The field books containing the phenotypic data used in the analysis are available in the CIP Dataverse (https://data.cipotato.org/dataset.xhtml?persistentId=doi:10.21223/P3/JJJQV0) and (https://data.cipotato.org/dataset.xhtml?persistentId=doi:10.21223/6TRC9T). Population denominations and parentage of the potato genotypes are detailed in Supplementary Table S1. The genotypic best linear unbiased estimators (BLUEs) of rAUDPC for each environment are in Supplementary Table S2; the pedigree best linear unbiased predictors (PBLUPs) are in Supplementary Table S3; and the genomic best linear unbiased predictors (GBLUPs) using the model with the best prediction ability are in Supplementary Table S4. The genotypic data are available in variant calling format (vcf), in diploid format (10.6084/m9.figshare.12786398), and in tetraploid format (10.6084/m9.figshare.12789383). |
| Uncontrolled Keywords: | breeding,gblup,genotyping by sequencing (gbs),gwas,phytophthora infestans,polyploidy,molecular biology,genetics,genetics(clinical) ,/dk/atira/pure/subjectarea/asjc/1300/1312 |
| Faculty \ School: | Faculty of Science > School of Biological Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 21 Aug 2025 14:30 |
| Last Modified: | 21 Aug 2025 14:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/100195 |
| DOI: | 10.1093/g3journal/jkab251 |
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