Jeremy T. Brawner
Commonwealth Scientific and Industrial Research Organisation
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jeremy T. Brawner.
Silvae Genetica | 2009
David J. Lee; J. R. Huth; Jeremy T. Brawner; Geoffrey R. Dickinson
Abstract Eighty six full-sib Corymbia F1 hybrid families (crosses between C. torelliana and four spotted gum taxa: C. citriodora subsp. variegata, C. citriodora subsp. citriodora, C. henryi and C. maculata), were planted in six trials across six disparate sites in south-eastern Queensland to evaluate their productivity and determine their potential utility for plantation forestry. In each trial, the best-growing 20% of hybrid families grew significantly faster (P = 0.05) than open-pollinated seedlots of the parent species Corymbia citriodora subsp. variegata, ranging from 107% to 181% and 127% to 287% of the height and diameter respectively. Relative performance of hybrid families growing on more than one site displayed consistency in ranking for growth across sites and analysis showed low genotype-by-environment interaction. Heritability estimates based on female and male parents across two sites at age six years for height and diameter at breast height, were high (0.62 ± 0.28 to 0.64 ± 0.35 and 0.31 ± 0.21 to 0.69 ± 0.37 respectively), and low to moderate (0.03 ± 0.04 to 0.33 ± 0.22) for stem straightness, branch size, incidence of ramicorns, and frost and disease resistance traits at ages one to three years. The proportion of dominance variance for height and diameter had reduced to zero by age six years. Based on these promising results, further breeding and pilot-scale family forestry and clonal forestry deployment is being undertaken. These results have also provided insights regarding the choice of a future hybrid breeding strategy.
Tree Genetics & Genomes | 2009
Brian S. Baltunis; Harry X. Wu; Heidi Dungey; T. J. “Tim” Mullin; Jeremy T. Brawner
Different methods for predicting clonal values were explored for diameter growth (diameter at breast height (DBH)) in a radiata pine clonal forestry program: (1) clones were analyzed with a full model in which the total genetic variation was partitioned into additive, dominance, and epistasis (Clone Only—Full Model); (2) clones were analyzed together with seedling base population data (Clone Plus Seedling (CPS)), and (3) clones were analyzed with a reduced model in which the only genetic term was the total genetic variance (Clone Only—Reduced Model). DBH was assessed at age 5 for clones and between ages 4 to 13 at the seedling trials. Significant additive, dominance, and epistatic genetic effects were estimated for DBH using the CPS model. Nonadditive genetic effects for DBH were 87% as large as additive genetic effects. Narrow-sense (
Biofuels | 2011
Mervyn Shepherd; John Bartle; David J. Lee; Jeremy T. Brawner; David Bush; Paul Turnbull; Paul Macdonel; Troy Brown; Blake A. Simmons; Robert J Henry
New Phytologist | 2012
Shannon Dillon; Jeremy T. Brawner; Roger Meder; David J. Lee; Simon G. Southerton
hat h^2
Journal of Near Infrared Spectroscopy | 2011
Roger Meder; Jeremy T. Brawner; Geoffrey M. Downes; Nicholas Ebdon
Tree Genetics & Genomes | 2011
Jeremy T. Brawner; David J. Lee; Craig Hardner
) and broad-sense (
Annals of Forest Science | 2015
Tran D. Hung; Jeremy T. Brawner; Roger Meder; David J. Lee; Simon G. Southerton; Ha H. Thinh
Southern Forests | 2012
Jeremy T. Brawner; Roger Meder; David J. Lee
hat H^2
New Forests | 2010
Brian S. Baltunis; Jeremy T. Brawner
Euphytica | 2013
Jeremy T. Brawner; David J. Lee; R. Meder; A. C. Almeida
) heritability estimates for DBH using the CPS model were 0.14 ± 0.01 and 0.26 ± 0.01, respectively. Accuracy of predicted clonal values increased 4% by combining the clone and seedling data over using clonal data alone, resulting in greater confidence in the predicted genetic performance of clones. Our results indicate that exploiting nonadditive genetic effects in clonal varieties will generate greater gains than that typically obtainable from conventional family-based forestry of radiata pine. The predicted genetic gain for DBH from deployment of the top 5% of clones was 24.0%—an improvement of more than 100% over family forestry at the same selection intensity. We conclude that it is best practice to predict clonal values by incorporating seedling base population data in the clonal analysis.
Collaboration
Dive into the Jeremy T. Brawner's collaboration.
Commonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputs