Large-scale genotyping in strawberry genomic selection

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Abstract

In this webinar Dr Isobe of the Kazusa DNA Research Institute explains how large-scale genotyping can deliver a data driven breeding programme to significantly enhance breeders’ability to produce superior innovative varieties of strawberries。

已安装的工作原理:

可Vegetable and Floriculture Science(NARO)
Tohoku Agricultural Research Center(NARO)
Fukuoka Preffectural Agriculture and Forestry Research Center
Tochigi Preffectural Agricultural Experiment Station
Chiba Preffectural Agriculture and Forestry Research Center

Kazusa DNA Research Institute created a prediction model based on trait values,genotyping data and GWAS analysis.Utilising this model in combination with trait evaluation to select individuals for crossbreeding fornew generations.Single nucleotide polymorphisms(SNP)genotypibased on proapxis,SNP,was subsequently used to select seedlings to plant out in the main field。

当前选择accuracy compared to conventional breeding methods can be significantly improved using oKtopure™and IntelliQuibe™,™to produce cost efficient large-scale data for selection of promising individuals。


Learning objectives:

Learnhow a successful prediction model was created using trait values,genotyping data and GWAS analysis。
Examinethe method of selection for crossbreeding using a prediction model in combination with trait evaluation。
不足,不足the requirement to create a prediction model for each population due to the shifting nature of the strawberry genotyping composition from generation to generation。
发现,发现the benefits of using KASP for the selection of young seedlings for planting。

Speaker

Sachiko_Isobe_branded

Dr Sachiko Isobe

平面Genomics and Genetics Head of Laboratory of Plant Genomics and Genetics
Kazusa DNA Research Institute