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Next generation breeding values


Dutkowski, GW and Kerr, RJ and Tier, B and Li, L and Costa e Silva, J and Ivkovic, M and Potts, BM and McRae, TA, Next generation breeding values, Genetic aspects of adaptation and mitigation: Forest health, wood quality and biomass production, 3-5 October 2012, Latvia, pp. 3-5. (2012) [Keynote Presentation]

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The current benchmark for genetic value prediction is program-wide multivariate Best Linear Unbiased Prediction of measured traits, from which harvest age traits are predicted and then combined into economic indices. This is a very flexible framework, but is demanding to implement and not many programs have done so. Models for hybrid populations, calculation of standard errors for harvest traits and indices for genotypes, families and larger deployment units, economic models for risk traits, and integration of synthetic variables derived from markers information into evaluation are all in the process of operational adoption There are other advances, ranging from accounting for indirect genetic effects to integration of genome-wide molecular information for which there is still much work needed to allow them to be used on a program-wide scale. For operational implementation, both the computational systems and their supporting database systems need to be developed to store and process the increasing amounts of information used.

Item Details

Item Type:Keynote Presentation
Keywords:quantitative genetics, breeding
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Forestry sciences
Research Field:Tree improvement (incl. selection and breeding)
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Softwood plantations
UTAS Author:Dutkowski, GW (Mr Greg Dutkowski)
UTAS Author:Kerr, RJ (Dr Richard Kerr)
UTAS Author:Potts, BM (Professor Brad Potts)
ID Code:83525
Year Published:2012
Deposited By:Plant Science
Deposited On:2013-03-15
Last Modified:2015-07-29

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