Mai MINAMIKAWA Tenure Track Associate Professor

Mai MINAMIKAWA
Tenure Track Associate Professor

Researchmap

• Chiba University Institute for Advanced Academic Research / Graduate School of Horticulture

• Keywords

  Fruit trees, Breeding, Statistical and molecular genetics, Genomic selection, Data science

• Professional Memberships

  Japanese Society of Breeding, The Japanese Society for Horticultural Science

Research Theme

Development of an Efficient Breeding Platform for Fruit Trees Using Data Science and Statistical and Molecular Genetics

Abstract

Fruit tree breeding requires a long time to develop new cultivars because of their long generation time.

In addition, the large plant size of the individuals limits the number of fruit trees in orchards, making it challenging to acquire new individuals that meet selection criteria.

We are collaborating with the Institute of Fruit Tree and Tea Science of The National Agriculture and Food Research Organization (NARO) to develop efficient breeding methods for fruit trees using genomic information.

We develop a method of genomic selection (GS) that predicts future fruit characteristics (skin color, fruit weight, etc.) at the seedling stage based on genomic information.

In addition, we explore causal genes controlling fruit characteristics by genome-wide association studies (GWAS) to elucidate the genetic mechanisms for the characteristics.

Mai MINAMIKAWA's Article / News Release / InfoGraphics