GENOMIC PREDICTION OF GROWTH AND WOOD TRAITS OF <b> Shorea platyclados </b>, COMMERCIAL TIMBER IN SOUTHEAST ASIA

• SAWITRI

  University of Tsukuba Universitas Gadjah Mada

• NAOKI TANI

  University of Tsukuba Japan International Research Center for Agricultural Sciences

• YOSHIHIKO TSUMURA

  University of Tsukuba

• MOHAMMAD NA'IEM

  Universitas Gadjah Mada

• WIDIYATNO

  Universitas Gadjah Mada

• SAPTO INDRIOKO

  Universitas Gadjah Mada

• KENTARO UCHIYAMA

  Forestry and Forest Products Research Institute

• KEVIN KIT SIONG NG

  Forest Research Institute Malaysia

• SOON LEONG LEE

  Forest Research Institute Malaysia

抄録

Shorea platyclados is a commercial timber in Southeast Asia. Its stock has been declined due to excessive logging, insufficient regeneration and slow recovery rate. We need to promote enrichment planting and develop techniques to support its rehabilitation and improve timber production through molecular breeding (GWAS and Genomic Selection). Plant materials were collected from half-sib population (332 individuals from 77 mother trees) in Indonesia. Using 5,412 markers, we detected strong LD (> 110 kb). In GWAS, few SNPs linked to any traits were detected with a stringent FDR, indicating that they are under polygenic quantitative control. GS using Machine Learning provided higher prediction accuracies than Bayesian regression methods. Height, wood density and wood stiffness were more predictable than diameter and branch shape. Genomic heritability help to select potential traits in future breeding and GS is promising to improve the yield and quality of timber.

収録刊行物

• 日本森林学会大会発表データベース

  日本森林学会大会発表データベース 131 (0), 456-, 2020-05-25

  日本森林学会

キーワード

• GENOMIC
• PREDICTION
• GROWTH
• WOOD
• S.platyclados

詳細情報

• CRID: 1390003825201726336
• NII論文ID: 130007880811
• DOI: 10.11519/jfsc.131.0_456
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可