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Genomic predictions and candidate single nucleotide polymorphisms for growth, form, and wood properties of teak clones

  • Andrew N. Callister
  • , Jose P. Jiménez-Madrigal
  • , Ross W. Whetten
  • , Olman Murillo
  • Treehouse Forest Research LLC
  • University of Melbourne
  • Costa Rica Institute of Technology
  • North Carolina State University

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Teak (Tectona grandis) is a premier hardwood timber, extensively cultivated throughout the tropics. The study aimed to undertake the first genomic selection of teak clones using single nucleotide polymorphism (SNP) markers and evaluate the prospects for prediction of stem volume (VOL), diameter (DBH), form Quality Score (QS), Specific Gravity (SG), and Heartwood Percentage (HW). Thirty-three elite teak clones from a genetic test in northern Costa Rica were genotyped at 10812 SNP loci and aligned to the teak reference genome sequence. The genomic relationship matrix revealed 7 cryptic groups of more highly related clones and within-group kinship values were consistent with full-sib families. Clone values for each of the 5 traits were calculated from 5-year field data for 26 of the geno-typed clones. Genomic prediction models were fitted to clone values using Bayesian Ridge Regression, BayesA, BayesB, BayesC, and Bayes Lasso. Predictive ability (PA) was greatest for DBH (up to 0.66), VOL (up to 0.63), SG (0.58), with 0.42 and 0.40 as the best PA for QS and HW, respectively. GWAS resulted in the discovery of 7 unique SNP markers for volume, 7 for DBH, 4 for QS, and 8 for SG. The small experimental size resulted in relatively large false discovery rates. Teak breeders are well positioned to benefit from the genomic tools and approaches to genotyping teak breeding and deployment populations on a large scale. Significant advantages are expected from widespread integration of genomic technologies into teak breeding systems to allow shortening of the breeding cycle.

Original languageEnglish
Pages (from-to)13-23
Number of pages11
JournalSilvae Genetica
Volume73
Issue number1
DOIs
StatePublished - 1 Jan 2024

Keywords

  • Early selection
  • GWAS
  • Genomic Selection
  • Genomic relationship matrix
  • RADseq
  • SNP

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