Webinar – Automated Evaluation of Grape Breeding Progeny to Reduce the Phenotyping Bottleneck

April 19th 2018, 2pm EST – Automated Evaluation of Grape Breeding Progeny to Reduce the Phenotyping Bottleneck – watch recording

While genetic information is becoming inexpensive, measuring attributes of interest such as disease resistance or cluster architecture has been a laborious, manual process. VitisGen2 researchers are developing methods of more rapidly and objectively screening ‘mapping populations’. Their goal: to streamline the process of associating plant traits with genetic markers.

 

 

 

Panelists from the VitisGen2 Breeding and Local Phenotyping Team (left to right):
Lance Cadle-Davidson, VitisGen2 Project Co-Leader and USDA Research Plant Pathologist
Rachel Naegele, USDA Research Horticulturist
Anna Underhill, MSc student at University of Minnesota

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Grape Breeders No Longer Flying Blind

Wines & Vines, March 2018 issue
By Tim Martinson

“For grape breeders and geneticists, the previous trickle of scarce genetic knowledge has turned into a flood of DNA sequence information. For the first time, there is enough sequence information to allow geneticists to make a detailed map of the 19 pairs of chromosomes and 500 million base pairs in the grape genome. This map enables them to locate genetic markers (short DNA sequences) associated with single gene loci, or what they call Quantitative Trait Loci (QTLs).” Read full article here

A vine susceptible to powdery mildew (left) and a resistant vine (right)

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Quantitative Trait Loci Linked to Downy Mildew Resistance

VitisGen2 researchers Konstantin Divilov, Paola Barba, Lance Cadle-Davidson, and Bruce Reisch found multiple quantitative trait loci associated with downy mildew sporulation and hypersensitive response in hybrid grape families using a single phenotype model. Read full article here

The averaged Bayesian network for the HC family manual sporulation (Sp), hypersensitive response (HR), and leaf trichome (Lt) traits. S6, S7, S8, and S15 correspond to SNPs on chromosomes 6, 7, 8, and 15, respectively. The numbers above and to the left of an edge pointing from a trait/SNP to a trait represents the effect size of the trait/SNP on the trait while the numbers below and to the right represents the percent variance of the trait explained by the trait/SNP calculated as Type III SSTotal SS×100. Type III sum of squares (SS) of a trait/SNP is the SS of that trait/SNP conditional on all other traits and SNPs in the model. Effect sizes from SNPs are absolute values while those from traits are not. (reproduced from the original article)

 

 

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