ChamberlandRobichaudPerronEtAl2020

Reference

Chamberland, V., Robichaud, F., Perron, M., Gelinas, N., Bousquet, J., Beaulieu, J. (2020) Conventional versus genomic selection for white spruce improvement: a comparison of costs and benefits of plantations on Quebec public lands. Tree Genetics and Genomes, 16(1). (Scopus )

Abstract

Intensive plantation forestry is a potent strategy for forest managers to increase wood production on a smaller forest land acreage, especially with the use of genetically improved reforestation stock. The main drawback with conventional conifer improvement is the several decades it takes before stock deployment, which is particularly acute in the context of climate change and evolving wood markets. Use of genomic selection allows to drastically shorten breeding cycles, resulting in more flexibility and potentially increasing benefits. This study compares the financial performance of five white spruce (Picea glauca) breeding and deployment scenarios, from conventional breeding to genomic selection in conjunction with top-grafting or the use of somatic embryogenesis, in the context of plantations established by the Quebec government on public lands with banned herbicide use. We estimated the land expectation value (LEV) for the five scenarios applied to eight site productivity indices, and considered costs and revenues from breeding, plantation establishment, silviculture, and harvest. LEVs at 4% discount rate were positive for all scenarios on all site indices, and varied from $197 to $2015 ha−1 assuming mechanical brushing of the plantations. The scenarios integrating genomic selection resulted in the highest LEVs, which increased with site index. We also conducted sensitivity analyses with 3% and 5% discount rates, with a range of costs and benefits, and with herbicide control of competing vegetation. These results should help orientate public investment decisions regarding the integration of genomic selection at the operational level in tree breeding and reforestation programs on public lands. © 2020, The Author(s).

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@ARTICLE { ChamberlandRobichaudPerronEtAl2020,
    AUTHOR = { Chamberland, V. and Robichaud, F. and Perron, M. and Gelinas, N. and Bousquet, J. and Beaulieu, J. },
    TITLE = { Conventional versus genomic selection for white spruce improvement: a comparison of costs and benefits of plantations on Quebec public lands },
    JOURNAL = { Tree Genetics and Genomes },
    YEAR = { 2020 },
    VOLUME = { 16 },
    NUMBER = { 1 },
    NOTE = { cited By 0 },
    ABSTRACT = { Intensive plantation forestry is a potent strategy for forest managers to increase wood production on a smaller forest land acreage, especially with the use of genetically improved reforestation stock. The main drawback with conventional conifer improvement is the several decades it takes before stock deployment, which is particularly acute in the context of climate change and evolving wood markets. Use of genomic selection allows to drastically shorten breeding cycles, resulting in more flexibility and potentially increasing benefits. This study compares the financial performance of five white spruce (Picea glauca) breeding and deployment scenarios, from conventional breeding to genomic selection in conjunction with top-grafting or the use of somatic embryogenesis, in the context of plantations established by the Quebec government on public lands with banned herbicide use. We estimated the land expectation value (LEV) for the five scenarios applied to eight site productivity indices, and considered costs and revenues from breeding, plantation establishment, silviculture, and harvest. LEVs at 4% discount rate were positive for all scenarios on all site indices, and varied from $197 to $2015 ha−1 assuming mechanical brushing of the plantations. The scenarios integrating genomic selection resulted in the highest LEVs, which increased with site index. We also conducted sensitivity analyses with 3% and 5% discount rates, with a range of costs and benefits, and with herbicide control of competing vegetation. These results should help orientate public investment decisions regarding the integration of genomic selection at the operational level in tree breeding and reforestation programs on public lands. © 2020, The Author(s). },
    AFFILIATION = { Département des sciences du bois et de la forêt, Faculté de foresterie, de géographie et de géomatique, Université Laval, 2405, rue de la Terrasse, Québec, QC G1V 0A6, Canada; Forest Economic Advisors LLC, 298 Great Road, Littleton, MA 01460, United States; FPInnovations, 1055 rue du P.E.P.S, Québec, QC G1V 4C7, Canada; Direction de la recherche forestière, Ministère des Forêts, de la Faune et des Parcs du Québec, 2700 rue Einstein, Québec, QC G1P 3W8, Canada; Canada Research Chair in Forest Genomics, Forest Research Centre and Institute of Systems and Integrative Biology, Faculté de foresterie, de géographie et de géomatique, Université Laval, 1030 avenue de la Médecine, Québec, QC G1V 0A6, Canada },
    ART_NUMBER = { 17 },
    AUTHOR_KEYWORDS = { Financial performance; Herbicides; Intensive plantation forestry; Picea glauca; Somatic embryogenesis; Tree breeding },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1007/s11295-019-1409-7 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077337862&doi=10.1007%2fs11295-019-1409-7&partnerID=40&md5=f99ff93337553a64216daa06ea97f35c },
}

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