David M. Francis, The Ohio State University; Heather L. Merk, The Ohio State University
The availability of genome sequence data for potato presents the opportunity to improve varieties using marker-based selection strategies. In this webinar, Dr. David Francis, The Ohio State University, discusses how genome-wide Single Nucleotide Polymorphism (SNP) data may be incorporated into breeding strategies. Dr. Francis stresses that even with abundant SNP resources, plant breeding programs should remain focused on population development and high quality phenotypic evaluation.
During the first video, Dr. Francis reviews equations fundamental to plant breeding and marker-assisted selection (MAS). Dr. Francis emphasizes the importance of population size and the use of MAS to accelerate the breeding cycle.
During the second video, Dr. Francis discusses populations and population structure in the context of mapping and breeding programs. Approaches for data analysis are reviewed.
During the third video, Dr. Francis stresses the importance of collecting objective, standardized, and quantiative phenotypic data. Trends toward standardization and data storage are driving efforts to link phenotypes to ontologies. The resulting databases facilitate the estimation of trait heritability from multi-year and multi-location studies.
During the fourth video, Dr. Francis discusses rapid changes in genotyping technology. In addition, he stresses that availability of high quality genotypic data should no longer be a limitation for breeding programs. Dr. Francis poses questions to help plant breeders assess how and why they may use genome-wide SNP data. Strategies for cost-efficient genotyping of breeding populations are presented.
During the fifth video, Dr. Francis discusses strategies for integrating genotyping and breeding. Dr. Francis stresses the importance of population size and selection strategy with regards to potential for successful integration of genotyping and breeding.
During the sixth video, Dr. Francis demonstrates how to maximize population size using an augmented design. Dr. Francis introduces sample analysis pipelines considering genotypes as either fixed effects or as random effects.
This video contains the full-length recording and is 61 minutes long.
Development of this page was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.