Global multi-environment resistance QTL for foliar late blight resistance in tetraploid potato with tropical adaptation

Author:

Lindqvist-Kreuze Hannele1ORCID,De Boeck Bert1,Unger Paula1,Gemenet Dorcus2,Li Xianping3,Pan Zhechao3ORCID,Sui Qinjun3,Qin Junhong4,Woldegjorgis Gebremedhin5,Negash Kassaye5,Seid Ibrahim5,Hirut Betaw6,Gastelo Manuel1,De Vega Jose7,Bonierbale Merideth1

Affiliation:

1. International Potato Center, CIP, Lima 15024, Peru

2. CIP Kenya, c/o ILRI, P.O. Box 30709, Nairobi, Kenya

3. ndustrial Crops Research Institute, Yunnan Academy of Agricultural Sciences (YAAS), 2238 Beijing Road, Kunming, Yunnan 650205, P. R. China

4. CIP China, Beijing 100081, China

5. Ethiopian Institute of Agricultural Research, (EIAR), Holetta Agricultural research Center. P.O. Box 31, West Showa Zone, Oromia Region, Ethiopia

6. CIP Ethiopia, c/o ILRI Ethiopia P.O. Box 5689, Addis Ababa, Ethiopia

7. Earlham Institute (EI), Norwich Research Park, Norwich NR4 7UZ, UK

Abstract

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.

Funder

CGIAR

Global Challenges Research Fund

Earlham Institute

CABANA project

Centre for International Migration and Development

German Federal Employment Agency

German Federal Government

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

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