Three new publications focusing on 1) multi-trait genomic selection and weevil resistance in Norway spruce (Full article here), 2) impact of polycross mating designs on genomic predictions in white spruce (Full article here), and 3) a costs – benefits analysis on the implementation of genomic selection in plantations from Québec (Full article here).
A new publication on the development of multi-trait genomic selection and genomic selection for weevil resistance in Norway spruce. Full article here.
Azaiez, A., N. Pavy, S. Gérardi, J. Laroche, B. Boyle, F. Gagnon, M.-J. Mottet, J. Beaulieu & J. Bousquet. 2018. A catalog of annotated high-confidence SNPs from exome capture and sequencing reveals highly polymorphic genes in Norway spruce (Picea abies). BMC Genomics 19: 942 (13p.).
FOREST GENOMICS: FROM SCIENCE TO PRACTICE
Genomic selection is the latest technology added to the suite of conventional methods for tree improvement. It provides an analysis of genomic profiles to enable determination at a young age of the future value individual trees obtained through breeding. Such analysis supports the selection of the best individuals for particular traits. Thus, new improved varieties of trees are available for reforestation much sooner. Several years of research have made it possible to develop this method and make it operational in spruce breeding programs in Québec and New Brunswick. The FastTRAC project is the catalyst for this shift from science to practice.
A virtual tour will allow you to learn more about the production of spruce seedlings from genomic selection and the operational gains achieved as well as the research behind the innovation. This tour contains six panoramic stations (360-degree images that can be moved horizontally and vertically), 35 vignettes (tooltips), and 9 video clips. Start the virtual tour of the FastTRAC project here.
August 19 to 23, 2019 Lac Delage, Québec
Applied forest genetics – where do we want to be in 2049?
The third annual meeting of the FastTRAC project was held in Québec City on October 18-19, 2017. Nearly 30 scientists, partners and collaborators met to discuss progress, address user concerns and ensure that knowledge transfer meets their needs. On the first day, the genomic selection results on Norway spruce and white spruce data sets were first discussed in depth with the users and additional analyzes needed to meet their needs were identified in order to facilitate the uptake of genomic selection by the users’ breeding programs. In the afternoon, the results of the financial and economic analyzes of various scenarios for the use of improved genetic material were discussed, highlighting the benefits of genomic selection. On the second day, the participants met in one of the white spruce genetic tests of the Québec Ministry of Forests, Wildlife and Parks, which was used for research carried out by the FastTRAC project. The participants could continue their exchanges while being able to appreciate the superiority of the trees selected for the white spruce advanced breeding program.
FastTRAC held a workshop on the application of genomic selection to spruce breeding programs on June 29th 2017 during the Forest Genetics 2017 Joint Meeting of the Canadian Forest Genetics Association (CFGA) and Western Forest Genetics Association (WFGA) at the University of Alberta in Edmonton.
Tree improvement practitioners have heard of genomic selection employed in tree breeding programs such as in Brazil. Now there is an opportunity to see practical examples of genomic selection to assist tree breeding in Canada.
FastTRAC (Fast Tests for Rating and Amelioration of Conifers) is a three-year project funded by Genome Canada, Génome Québec, and multiple partners through the Genomics Applied Partnership Program (GAPP). FastTRAC represents a “proof of concept” for the application of genomic selection in spruce breeding programs from eastern Canada, bringing together scientists, tree breeders, foresters, and economists. Real users are thus bringing real genetic resources to the development and use of new methods based on genomics. Project partners are using FastTRAC models to rate candidate trees at a very early age, thereby accelerating the selection and reforestation of improved and adapted stock.
The aim of the workshop was to present the thrust of FastTRAC, its focus on genetic gain for productivity and insect resistance through genomic selection in white spruce and Norway spruce, the commitment and roles of user-partners, the benefits to be realized and corresponding genetic resources required. Economic and financial perspectives were also presented, including the results of cost-benefit analyses in the context of operational deployment and intensive silviculture, valuation of volume and quality gains, integration of genomic selection with conventional breeding and with somatic embryogenesis as a possible delivery pipeline. The session was designed to encourage discussion between the audience and the presenters.
|1:00 – 1:10 PM||Welcome remarks and workshop objectives – G. Smith|
|1:10 – 1:40 PM||The FastTRAC Project: Towards a cooperative approach for the implementation of genomic selection in conventional spruce breeding programs in Québec and the Maritimes
J. Beaulieu, P. Lenz, S. Nadeau & J. Bousquet
|1:40 – 2:00 PM||Discussion
· What are the obstacles to apply GS in other tree breeding programs?
|2:00 – 2:25 PM||Financial and economic assessment of the implementation of GS in conventional tree breeding programs
V. Chamberland, F. Robichaud, M. Perron, G. Smith, J. Beaulieu & J. Bousquet
|2:25 – 2:50 PM||Discussion
· What are the perceived factors influencing business decisions to integrate genomic selection and other genomic tools into tree breeding programs?
|2:50 – 3:00 PM||Concluding remarks – G. Smith & J. Bousquet|
Lenz, P.R.N., J. Beaulieu, S.D. Mansfield, S. Clément, M. Desponts & J. Bousquet. 2017. Factors affecting the accuracy of genomic selection for growth and wood quality traits in an advanced-breeding population of black spruce (Picea mariana). BMC Genomics 18: 335 (17p.).
We are proud to annouce the financing of the FastTRAC project, for a duration of 3 years (2105-2018).