Tag Archives: VitisGen2
Staff Spotlight with Robert Richter
Robert Richter started working with VitisGen2 as a postdoctoral associate in September 2021 after completing his PhD at the Julius-Kühn Institute for Grapevine Breeding Geilweilerhof (JKI). His PhD thesis focused on the determination of key drivers of grapevine cluster architecture … Continue reading
Comparing short-read sequence aligners to determine the best tool for your research needs
Researchers Ryan Musich, Lance Cadle-Davidson, and Michael V. Osier reviewed seven different short-read sequence aligners utilizd in genomic and transcriptomic analysis in this April, 2021 article in Frontiers in Plant Science. Researchers used Powdery Mildew (PM) Erysiphe necator isolates to … Continue reading
Posted in Uncategorized, VitisGen2 news
Tagged DNA analysis, DNA sequencing, grape powdery mildew, sequence aligners, tools, VitisGen2
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Exploring the genetics behind flower sex in grapevines
Team members Tim Martinson, Cheng Zou, Qi Sun, Jason Londo, Mélanie Massonnet and Dario Cantu have a new article featured in October’s edition of Wine Business Monthly. The article explores the complex origins of flower sex in grapevines. Grapevine sex … Continue reading
Posted in Uncategorized, VitisGen2 news
Tagged DNA, DNA sequencing, flower sex, grape breeding, grapevines, sex determination, VitisGen2
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Breeding Insight brings bioinformatics to specialty crop breeding. VitisGen2 brings technology to the table
By Tim Martinson and Michelle Podolec. Public and private breeders of commodity crops such as maize and soybeans have long used sophisticated bioinformatics, statistical tools, and ‘big data’ to guide their breeding programs. These tools increasingly leverage detailed DNA sequence … Continue reading
Posted in VitisGen2 news
Tagged bioinformatics, Breeding Insight, DNA sequencing, genome assembly, grape breeding, table grape, VitisGen2
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VitisGen2 researchers describe improved deep learning method for quantification of Grape PM at ASABE Meeting
Deep learning-based saliency maps for the quantification of grape powdery mildew at the microscopic level VitisGen2 team members Tian Qiu, Anna Underhill, Surya Datta Sapkota, Lance Cadle-Davidson, and Yu Jiang recently presented a paper at the 2021 American Society of … Continue reading
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Tagged ASABE, Blackbird, deep learning, grape powdery mildew, image analysis, saliency maps, VitisGen2
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Central Role of Mapping Populations in Marker-Assisted Grape Breeding
VitisGen2 is excited to announce a new article from team members Tim Martinson and Bruce Reisch of Cornell Agritech, and Rebecca Weipz of University of Wisconsin-Madison’s Peninsular Agricultural Research Station.
Grape mapping populations reveal genetic variation in bloom and fruit development
by Tim Martinson, Al Kovaleski, and Bruce Reisch On June 29, I photographed clusters from Bruce Reisch’s three VitisGen mapping populations. Parents are Cornell hybrid cultivar Horizon (with perfect flowers), Illinois 547-1 (a male vine), Vitis cinerea (late blooming male … Continue reading
Staff spotlight with Jack Olson
Jack Olson is an M.S. graduate research assistant at the University of Minnesota. Jack’s research is focused on the phenotypic and genotypic characterization of leaf variegation in grapevine, which is a trait that causes white sectors of leaf tissue that … Continue reading
Posted in Staff spotlights, VitisGen2 news
Tagged Jack Olson, Staff Spotlight, VitisGen2
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Anne Fennell named Distinguished Professor!
Dr. Anne Fennell recognized for numerous research contributions A primary investigator and member of the VitisGen2 breeding and genetics teams, Anne was named as a distinguished professor at the SDSU’s annual Celebration of Faculty Excellence. Read more about the event … Continue reading
Posted in VitisGen2 news
Tagged Ann Fennell, grape breeding, grape genetics, recognitions, VitisGen2
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Grape Selections from the VitisGen and VitisGen2 Projects
The VitisGen and VitisGen2 projects represent major investments in understanding grapevine genetics – and particularly in identifying markers associated with desirable traits for use in ‘marker-assisted selection’. DNA markers identified by geneticists and breeders are now incorporated into several selections and mapping … Continue reading