Yuichiro Hiraoka
,
Forest Tree Breeding Center, FFPRI, Hitachi, Ibaraki, Japan
Manabu Kurita
,
Kyushu Regional Breeding Office, Forest Tree Breeding Center, FFPRI, Koshi, Kumamoto, Japan
Kentaro Mishima
,
Forest Tree Breeding Center, FFPRI, Hitachi, Ibaraki, Japan
Tomonori Hirao
,
Forest Bio-Research Center, FFPRI, Hitachi, Ibaraki, Japan
Taiichi Iki
,
Tohoku Regional Breeding Office, Forest Tree Breeding Center, FFPRI, Takizawa, Iwate, Japan
Miho Tamura
,
Faculty of Agriculture, Kyushu University, Fukuoka, Japan
Eitaro Fukatsu
,
Kyushu Regional Breeding Office, Forest Tree Breeding Center, FFPRI, Koshi, Kumamoto, Japan
Mine Nose
,
Forest Tree Breeding Center, FFPRI, Hitachi, Ibaraki, Japan
Miyoko Fukatsu-Tsubomura
,
Forest Tree Breeding Center, FFPRI, Hitachi, Ibaraki, Japan
Mineko Ohira
,
Forest Tree Breeding Center, FFPRI, Hitachi, Ibaraki, Japan
Yuya Takashima
,
Forest Tree Breeding Center, FFPRI, Hitachi, Ibaraki, Japan
Taro Yamanobe
,
Forest Tree Breeding Center, FFPRI, Hitachi, Ibaraki, Japan
Noritsugu Kuramoto
,
Kyushu Regional Breeding Office, Forest Tree Breeding Center, FFPRI, Koshi, Kumamoto, Japan
Masahiro Miura
,
Kansai Regional Breeding Office, Forest Tree Breeding Center, FFPRI, Shouo, Okayama, Japan
Osamu Chigira
,
Iriomote Tropical Forest Breeding Technical Garden, Forest Tree Breeding Center, FFPRI, Taketomi, Okinawa, Japan
Hiroshi Hoshi
,
Forest Tree Breeding Center, FFPRI, Hitachi, Ibaraki, Japan
Atsushi Watanabe
,
Faculty of Agriculture, Kyushu University, Fukuoka, Japan
Shortening time required for improvement and enhancing prediction accuracy is important for efficiently driving forest tree breeding forward. In Sugi (Cryptomeria japonica D. Don), which is one of important coniferous species for Japanese forestry, second generation plus-tree selection and construction of third generation breeding population is currently under way. For accelerating the tree breeding program, build-up of genome resource for molecular breeding such as EST collection from multiple organs, de novo transcriptome assembly, phenotyping more than 60 traits related to growth and wood quality, linkage map construction, QTL analysis, gene expression analysis and genome-wide association, was carried out. We conducted a pilot study of genomic prediction using those genomic basis.
