Author

Jun-ichi Mori

Nagoya University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Akihisa Shimazu· 1 shared Hidehiko Sunohara· 1 shared Justine KitonyiD· 1 shared Kazuyuki DoiiD· 1 shared Masanori YamasakiiD· 1 shared Mikako Tasaki· 1 shared Shunsaku NishiuchiiD· 1 shared Todd P. MichaeliD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperPlant Biology

Akihisa Shimazu

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1 paper

Recent·Most cited

Efficient genomic prediction at reduced training size and moderate marker density in an expanded aus-NAM population of rice

Justine Kitony, Vincent P. Reyes, Hidehiko Sunohara, Mikako Tasaki, Masanori Yamasaki, Jun-ichi Mori, Akihisa Shimazu, Shunsaku Nishiuchi, Todd P. Michael, Kazuyuki Doi

This study evaluates genomic prediction and GWAS in an expanded rice NAM population, finding that prediction accuracy plateaus at moderate marker density and training size, while GWAS benefits from higher density.

bioRxiv · May 1, 2026 · PreprintPlant Biology