Genetics and Improvement of Forest Trees

doi:10.3390/books978-3-0365-1243-3

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Genetics and Improvement of Forest Trees

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August 2021

328 pages

ISBN978-3-0365-1242-6 (Hardback)
ISBN978-3-0365-1243-3 (PDF)

https://doi.org/10.3390/books978-3-0365-1243-3

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This book is a reprint of the Special Issue Genetics and Improvement of Forest Trees that was published in

Biology & Life Sciences

Environmental & Earth Sciences

Summary

Forest tree improvement has mainly been implemented to enhance the productivity of artificial forests. However, given the drastically changing global environment, improvement of various traits related to environmental adaptability is more essential than ever. This book focuses on genetic information, including trait heritability and the physiological mechanisms thereof, which facilitate tree improvement. Nineteen papers are included, reporting genetic approaches to improving various species, including conifers, broad-leaf trees, and bamboo. All of the papers in this book provide cutting-edge genetic information on tree genetics and suggest research directions for future tree improvement.

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Keywords

early selection; stomatal characteristics; water stress; water relations; specific leaf area; Eucalyptus clones; LTR-retrotransposon; Ty3-gypsy; Ty1-copia; IRAP; molecular markers; bamboo; Phyllostachys; genetic diversity; populations structure; AMOVA; central-marginal hypothesis; cline; Pinaceae; trailing edge population; Sakhalin fir; sub-boreal forest; gibberellin; male strobilus induction; transcriptome; conifer; Cryptomeria japonica; conifer; linkage map; male sterility; marker-assisted selection; C. fortunei; transcriptome; differentially expressed genes; phenylpropanoid metabolism; candidate genes; Camellia oleifera; leaf senescence; transcriptome analysis; senescence-associated genes; physiological characterization; cpDNA; next generation sequencing; northern limit; nucleotide diversity; phylogeny; In/Del; SNP; SSR; Pinaceae; Chinese fir; heartwood; secondary metabolites; widely targeted metabolomics; flavonoids; amplicon sequencing; AmpliSeq; genomic selection; Japanese cedar (Cryptomeria japonica); multiplexed SNP genotyping; spatial autocorrelation error; pine wood disease; resistance to pine wood nematode; inoculation test; multisite; cumulative temperature; Pinus thunbergii; Thujopsis dolabrata; EST-SSR markers; varieties; population structure; pine wilt disease; Bursaphelenchus xylophilus; genotype by environment interaction; Japanese black pine; variance component; local adaptation; Sakhalin fir; silviculture; seed zone; tree improvement program; breeding; genotype × environment interaction; mast seeding; seed production; thinning; forest tree breeding; genomic selection; molecular markers; high-throughput phenotyping; epigenetics; genotyping; genomic prediction models; quantitative trait locus; breeding cycle; Cryptomeria japonica var. sinensis; genetic diversity; population structure; demographic history; SNP; RAD-seq; ancient tree; conservation; infrared thermography; chlorophyll fluorescence; cumulative drought stress; high-throughput phenotyping; Cryptomeria japonica; genetic conservation; genetic management; pine wood nematode; Pinus thunbergii; pine wood nematode-Pinus thunbergii resistant trees; n/a