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DOI10.1016/j.foreco.2020.118092
Selecting for water use efficiency, wood chemical traits and biomass with genomic selection in a Eucalyptus breeding program
Bouvet J.-M.; Makouanzi Ekomono C.G.; Brendel O.; Laclau J.-P.; Bouillet J.-P.; Epron D.
发表日期2020
ISSN0378-1127
卷号465
英文摘要The selection of ideotypes combining high biomass production, high water use efficiency (WUE) and adequate wood properties is a major challenge in improving forest trees for industrial plantations. This issue was addressed in a field experiment evaluating 1130 clones of Eucalyptus urophylla * Eucalyptus grandis. Genomic selection using 3303 SNPs and the GBLUP model was carried out at age 55 months to select genitors and clones for stem volume (V55), WUE (using stable carbon isotope composition in stemwood, δ13C as a proxy, transformed into intrinsic WUE, Wi), as well as lignin (KL) and holocellulose (HCEL) contents. The variance components were mainly additive for δ13C(Wi), KL and HCEL, while they were highly non-additive for V55 (the ratio of dominance to additive variance was 130%). The narrow sense heritability was higher for Wi (h2 = 0.704) than for volume and wood traits (<0.5), showing that this trait was under strong genetic control. Additive and total genetic correlations among traits were low (between −0.260 and 0.260) as were the correlations due to environmental effects (between −0.267 and 0.344), which suggests a rather independence among traits. The equal emphasis and the desired gain index selection methods were used to assess economic weights and to estimate the expected additive and total genetic gains. Different breeding objectives were defined with percentages weighting the economic coefficients or the desired gain for the equal emphasis or desired gain method, respectively. When the breeding objective gave emphasis to volume production using the percentages of 70%, 10%, 10%, and 10% for V55, HCEL, KL and Wi, respectively, positive gains were observed in both methods, but the correlation between index rankings were 0.686 and 0.635 for breeding and clonal selection, respectively. With a more balanced breeding objective using percentages such as 25%, 25%, 25%, 25% for V55, HCEL, KL and Wi, respectively, both index methods gave close positive gains and similar rankings, the correlation between index rankings ranging from 0.941 to 0.982 for parent selection and from 0.883 to 0.903 for clone selection. With more contrasted percentages between V55 and Wi, such as (80%, 10%, 10%, 0%) or (90%, 10%, 10%, −10%), the gain increased for V55 and was close to the maximum and decreased markedly for Wi. This study explores the magnitude of economic coefficients for index selection and shows that positive genetic gains can be achieved by associating biomass, a proxy of WUE and wood chemical traits. It provides encouraging results for selecting Eucalyptus varieties adapted to dry zones while maintaining good performances regarding other economic traits. © 2020 Elsevier B.V.
关键词AdditivesBiomassCloningEfficiencyForestryGenesGrowth (materials)LigninWood chemicalsEucalyptus hybridGenetic correlationGenomic selectionHeritabilityIndex selectionWater use efficiencyWood chemistryWoodadditivebiochemical compositionbiomasscarbon isotopeclonegenetic analysisheritabilityhybridindex methodisotopic compositionwater use efficiencywood qualityAdditivesBiomassEfficiencyForestryGenesEucalyptusEucalyptus grandisEucalyptus hybridaEucalyptus urophylla
语种英语
来源机构Forest Ecology and Management
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/132852
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GB/T 7714
Bouvet J.-M.,Makouanzi Ekomono C.G.,Brendel O.,et al. Selecting for water use efficiency, wood chemical traits and biomass with genomic selection in a Eucalyptus breeding program[J]. Forest Ecology and Management,2020,465.
APA Bouvet J.-M.,Makouanzi Ekomono C.G.,Brendel O.,Laclau J.-P.,Bouillet J.-P.,&Epron D..(2020).Selecting for water use efficiency, wood chemical traits and biomass with genomic selection in a Eucalyptus breeding program.,465.
MLA Bouvet J.-M.,et al."Selecting for water use efficiency, wood chemical traits and biomass with genomic selection in a Eucalyptus breeding program".465(2020).
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