Author
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HOWARD, NICHOLAS - University Of Minnesota |
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ALBACH, DIRK - Carl von Ossietzky University Of Oldenburg |
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LUBY, JAMES - University Of Minnesota |
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VAN DE WEG, ERIC - Wageningen University And Research Center |
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TROGGIO, MICHELA - Fondazione Edmund Mach |
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DUREL, CHARLES-ERIC - Institut National De La Recherche Agronomique (INRA) |
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PEACE, CAMERON - Washington State University |
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VANDERZANDE, STIJN - Washington State University |
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Volk, Gayle |
Submitted to: Meeting Abstract
Publication Type: Abstract Only Publication Acceptance Date: 6/1/2018 Publication Date: 6/26/2018 Citation: Magby JT, Volk GM, Henk AD, Miller SL. 2018. Identification of historic homestead and orchard apple cultivars in Wyoming. American Soc. Horticultural Sci. Conference, July 31-Aug 3, 2018. https://ashs.confex.com/ashs/2018/meetingapp.cgi/Paper/29065 Interpretive Summary: Technical Abstract: Pedigree information is fundamentally important in breeding programs, enabling breeders to know the source of valuable attributes and underlying alleles and to enlarge genetic diversity in a directed way. Many apple cultivars are related to each other through both recent and distant common ancestors. As apple trees are clonally propagated, long-lived, and widely adapted, many of the ancestors of modern cultivars are still present in global germplasm collections. Use of apple SNP arrays enables identification of direct and distant pedigree relationships with precision. An example is the elucidation of the ‘Honeycrisp’ pedigree using the 8K SNP array, which enabled further findings regarding the inheritance of important alleles for traits including scab resistance and soft scald susceptibility. To facilitate more discoveries across apple germplasm, a large-scale collaborative apple pedigree reconstruction project has been initiated. This project utilizes output from the Illumina Infinium 20K and Affymetrix Axiom 480K apple SNP arrays, a high quality genetic linkage map for the 20K array SNPs, and a data curation pipeline developed through the FruitBreedomics and RosBREED projects. Techniques using shared haplotype length statistics will be used alongside historical information to deduce distant pedigree relationships. The project involves various experts, germplasm collections, and academic institutions around the world and is open for further extension. It will provide findings useful for breeding programs, germplasm collections, geneticists, and historians. |