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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.
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.
Among the insects attacking teak well-known pests of the teak tree (Tectona grandis) i.e.,Hyblaea puera (Lepidoptera: Hyblaeidae), popularly known as the teak defoliator is the most widespread and serious pest causing a loss in increment volume of plants. Having a high economic timber value, Tectona grandis has also played an important role in storing carbon. Hence, the present investigation has attempted to study the impacts of teaks defoliator Hyblaeapuera on carbon stocks accumulation and overall growth in plantation forests and make acomparison with healthy teak plantation forests without the impacts of teak defoliator. Remaining all other factors constant, the study conducted on tropical regions of eastern Nepal has shown an 18% increase in carbon stocks in 2 years in the teak defoliator infected patch whereas it’s 38% in the healthy patch. Similarly, a highly positive correlation was found between diameter and height in a healthy patch in both the measurement i.e., 0.88 and 0.89. Whereas there is less positive correlation i.e.,0.64 and 0.69 in the infected patch.The mean height increment of the healthy plot was 1.1, while it was 0.5 in the case of the infected plot. Furthermore, the Mean DBH Increment of the Healthy plot was 2.1; however, it was 1.0 in the case of the infected plot. To sum up, this study at tropical regions has presented the impacts of teak defoliator (Hyblaea puera) on growth(height and diameter) and carbon accumulation on Teak plantation area.
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