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From a global perspective aquaculture is an activity related to food production with large potential for growth. Considering a continuously growing population, the efficiency and sustainability of this activity will be crucial to meet the needs of protein for human consumption in the near future. However, for continuous enhancement of the culture of both fish and shellfish there are still challenges to overcome, mostly related to the biology of the cultured species and their interaction with (increasingly changing) environmental factors. Examples of these challenges include early sexual maturation, feed meal replacement, immune response to infectious diseases and parasites, and temperature and salinity tolerance. Moreover, it is estimated that less than 10% of the total aquaculture production in the world is based on populations genetically improved by means of artificial selection. Thus, there is considerable room for implementing breeding schemes aimed at improving productive traits having significant economic impact. By far the most economically relevant trait is growth rate, which can be efficiently improved by conventional genetic selection (i.e. based on breeding values of selection candidates). However, there are other important traits that cannot be measured directly on selection candidates, such as resistance against infectious and parasitic agents and carcass quality traits (e.g. fillet yield and meat color). However, these traits can be more efficiently improved using molecular tools to assist breeding programs by means of marker-assisted selection, using a few markers explaining a high proportion of the trait variation, or genomic selection, using thousands of markers to estimate genomic breeding values. The development and implementation of new technologies applied to molecular biology and genomics, such as next-generation sequencing methods and high-throughput genotyping platforms, are allowing the rapid increase of availability of genomic resources in aquaculture species. These resources will provide powerful tools to the research community and will aid in the determination of the genetic factors involved in several biological aspects of aquaculture species. In this regard, it is important to establish discussion in terms of which strategies will be more efficient to solve the primary challenges that are affecting aquaculture systems around the world. The main objective of this Research Topic is to provide a forum to communicate recent research and implementation strategies in the use of genomics in aquaculture species with emphasis on (1) a better understanding of fish and shellfish biological processes having considerable impact on aquaculture systems; and (2) the efficient incorporation of molecular information into breeding programs to accelerate genetic progress of economically relevant traits.
genomic selection --- Next-generation sequencing --- Fish breeding --- Transcription --- selection footprints --- high-throughput genotyping --- Genetic --- Single nucleotide polymorphism --- genomic selection --- Next-generation sequencing --- Fish breeding --- Transcription --- selection footprints --- high-throughput genotyping --- Genetic --- Single nucleotide polymorphism
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From a global perspective aquaculture is an activity related to food production with large potential for growth. Considering a continuously growing population, the efficiency and sustainability of this activity will be crucial to meet the needs of protein for human consumption in the near future. However, for continuous enhancement of the culture of both fish and shellfish there are still challenges to overcome, mostly related to the biology of the cultured species and their interaction with (increasingly changing) environmental factors. Examples of these challenges include early sexual maturation, feed meal replacement, immune response to infectious diseases and parasites, and temperature and salinity tolerance. Moreover, it is estimated that less than 10% of the total aquaculture production in the world is based on populations genetically improved by means of artificial selection. Thus, there is considerable room for implementing breeding schemes aimed at improving productive traits having significant economic impact. By far the most economically relevant trait is growth rate, which can be efficiently improved by conventional genetic selection (i.e. based on breeding values of selection candidates). However, there are other important traits that cannot be measured directly on selection candidates, such as resistance against infectious and parasitic agents and carcass quality traits (e.g. fillet yield and meat color). However, these traits can be more efficiently improved using molecular tools to assist breeding programs by means of marker-assisted selection, using a few markers explaining a high proportion of the trait variation, or genomic selection, using thousands of markers to estimate genomic breeding values. The development and implementation of new technologies applied to molecular biology and genomics, such as next-generation sequencing methods and high-throughput genotyping platforms, are allowing the rapid increase of availability of genomic resources in aquaculture species. These resources will provide powerful tools to the research community and will aid in the determination of the genetic factors involved in several biological aspects of aquaculture species. In this regard, it is important to establish discussion in terms of which strategies will be more efficient to solve the primary challenges that are affecting aquaculture systems around the world. The main objective of this Research Topic is to provide a forum to communicate recent research and implementation strategies in the use of genomics in aquaculture species with emphasis on (1) a better understanding of fish and shellfish biological processes having considerable impact on aquaculture systems; and (2) the efficient incorporation of molecular information into breeding programs to accelerate genetic progress of economically relevant traits.
genomic selection --- Next-generation sequencing --- Fish breeding --- Transcription --- selection footprints --- high-throughput genotyping --- Genetic --- Single nucleotide polymorphism
Choose an application
From a global perspective aquaculture is an activity related to food production with large potential for growth. Considering a continuously growing population, the efficiency and sustainability of this activity will be crucial to meet the needs of protein for human consumption in the near future. However, for continuous enhancement of the culture of both fish and shellfish there are still challenges to overcome, mostly related to the biology of the cultured species and their interaction with (increasingly changing) environmental factors. Examples of these challenges include early sexual maturation, feed meal replacement, immune response to infectious diseases and parasites, and temperature and salinity tolerance. Moreover, it is estimated that less than 10% of the total aquaculture production in the world is based on populations genetically improved by means of artificial selection. Thus, there is considerable room for implementing breeding schemes aimed at improving productive traits having significant economic impact. By far the most economically relevant trait is growth rate, which can be efficiently improved by conventional genetic selection (i.e. based on breeding values of selection candidates). However, there are other important traits that cannot be measured directly on selection candidates, such as resistance against infectious and parasitic agents and carcass quality traits (e.g. fillet yield and meat color). However, these traits can be more efficiently improved using molecular tools to assist breeding programs by means of marker-assisted selection, using a few markers explaining a high proportion of the trait variation, or genomic selection, using thousands of markers to estimate genomic breeding values. The development and implementation of new technologies applied to molecular biology and genomics, such as next-generation sequencing methods and high-throughput genotyping platforms, are allowing the rapid increase of availability of genomic resources in aquaculture species. These resources will provide powerful tools to the research community and will aid in the determination of the genetic factors involved in several biological aspects of aquaculture species. In this regard, it is important to establish discussion in terms of which strategies will be more efficient to solve the primary challenges that are affecting aquaculture systems around the world. The main objective of this Research Topic is to provide a forum to communicate recent research and implementation strategies in the use of genomics in aquaculture species with emphasis on (1) a better understanding of fish and shellfish biological processes having considerable impact on aquaculture systems; and (2) the efficient incorporation of molecular information into breeding programs to accelerate genetic progress of economically relevant traits.
genomic selection --- Next-generation sequencing --- Fish breeding --- Transcription --- selection footprints --- high-throughput genotyping --- Genetic --- Single nucleotide polymorphism
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Rabbit livestock is especially important in the Mediterranean area and in the semi-arid zones of Africa, Asia, and America, representing a valuable alternative source of good animal protein of high quality (low fat and low cholesterol). However, rabbit husbandry should adapt to be a competitive and sustainable sector. In addition, it must maintain a balance between rabbit welfare, customer demands, and breeder requirements. Then, improvement in breeding systems is needed and may involve avoiding hormones and antibiotics in rabbit management; enhancing the efficiency of reproductive procedures such as artificial insemination systems and freezing of semen and embryos; extending the productive lifespan of does; improving genetic selection systems; and adjusting nutritional systems to optimize the physiological status of animals and the immune response. This Special Issue concerns all these challenges in increasing rabbit productivity and sustainability.
Research & information: general --- Biology, life sciences --- Animals & society --- Oryctolagus cuniculus --- SNPs --- SLAF-seq --- genome-wide association study --- growth trait --- myeloperoxidase --- lysozyme --- rabbits --- viral infection --- rabbit hemorrhagic disease --- goji berries --- rabbit --- insulin resistance --- leptin --- non-esterified fatty acids --- pregnancy --- lactation --- body condition score --- principal component analysis --- gene expression --- endometrium --- oviduct --- spermatozoa --- seminal plasma --- inflammation --- angiogenesis --- corpus luteum --- reproduction --- genomic selection --- imputation --- litter size --- genomic simulation --- artificial insemination --- antibiotics --- antibacterial activity --- semen quality --- reproductive performance --- sperm quality --- cryopreservation --- animal model --- assisted reproductive technology --- CTSS --- granulosa cells --- proliferation --- apoptosis --- hormone secretion --- body composition --- fertility --- kits born alive --- rabbit does --- feed intake --- free tri-iodothyronine --- thyroxine --- insulin --- glucose --- corticosterone --- NEFA --- fetus --- placenta
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Rabbit livestock is especially important in the Mediterranean area and in the semi-arid zones of Africa, Asia, and America, representing a valuable alternative source of good animal protein of high quality (low fat and low cholesterol). However, rabbit husbandry should adapt to be a competitive and sustainable sector. In addition, it must maintain a balance between rabbit welfare, customer demands, and breeder requirements. Then, improvement in breeding systems is needed and may involve avoiding hormones and antibiotics in rabbit management; enhancing the efficiency of reproductive procedures such as artificial insemination systems and freezing of semen and embryos; extending the productive lifespan of does; improving genetic selection systems; and adjusting nutritional systems to optimize the physiological status of animals and the immune response. This Special Issue concerns all these challenges in increasing rabbit productivity and sustainability.
Oryctolagus cuniculus --- SNPs --- SLAF-seq --- genome-wide association study --- growth trait --- myeloperoxidase --- lysozyme --- rabbits --- viral infection --- rabbit hemorrhagic disease --- goji berries --- rabbit --- insulin resistance --- leptin --- non-esterified fatty acids --- pregnancy --- lactation --- body condition score --- principal component analysis --- gene expression --- endometrium --- oviduct --- spermatozoa --- seminal plasma --- inflammation --- angiogenesis --- corpus luteum --- reproduction --- genomic selection --- imputation --- litter size --- genomic simulation --- artificial insemination --- antibiotics --- antibacterial activity --- semen quality --- reproductive performance --- sperm quality --- cryopreservation --- animal model --- assisted reproductive technology --- CTSS --- granulosa cells --- proliferation --- apoptosis --- hormone secretion --- body composition --- fertility --- kits born alive --- rabbit does --- feed intake --- free tri-iodothyronine --- thyroxine --- insulin --- glucose --- corticosterone --- NEFA --- fetus --- placenta
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Rabbit livestock is especially important in the Mediterranean area and in the semi-arid zones of Africa, Asia, and America, representing a valuable alternative source of good animal protein of high quality (low fat and low cholesterol). However, rabbit husbandry should adapt to be a competitive and sustainable sector. In addition, it must maintain a balance between rabbit welfare, customer demands, and breeder requirements. Then, improvement in breeding systems is needed and may involve avoiding hormones and antibiotics in rabbit management; enhancing the efficiency of reproductive procedures such as artificial insemination systems and freezing of semen and embryos; extending the productive lifespan of does; improving genetic selection systems; and adjusting nutritional systems to optimize the physiological status of animals and the immune response. This Special Issue concerns all these challenges in increasing rabbit productivity and sustainability.
Research & information: general --- Biology, life sciences --- Animals & society --- Oryctolagus cuniculus --- SNPs --- SLAF-seq --- genome-wide association study --- growth trait --- myeloperoxidase --- lysozyme --- rabbits --- viral infection --- rabbit hemorrhagic disease --- goji berries --- rabbit --- insulin resistance --- leptin --- non-esterified fatty acids --- pregnancy --- lactation --- body condition score --- principal component analysis --- gene expression --- endometrium --- oviduct --- spermatozoa --- seminal plasma --- inflammation --- angiogenesis --- corpus luteum --- reproduction --- genomic selection --- imputation --- litter size --- genomic simulation --- artificial insemination --- antibiotics --- antibacterial activity --- semen quality --- reproductive performance --- sperm quality --- cryopreservation --- animal model --- assisted reproductive technology --- CTSS --- granulosa cells --- proliferation --- apoptosis --- hormone secretion --- body composition --- fertility --- kits born alive --- rabbit does --- feed intake --- free tri-iodothyronine --- thyroxine --- insulin --- glucose --- corticosterone --- NEFA --- fetus --- placenta --- Oryctolagus cuniculus --- SNPs --- SLAF-seq --- genome-wide association study --- growth trait --- myeloperoxidase --- lysozyme --- rabbits --- viral infection --- rabbit hemorrhagic disease --- goji berries --- rabbit --- insulin resistance --- leptin --- non-esterified fatty acids --- pregnancy --- lactation --- body condition score --- principal component analysis --- gene expression --- endometrium --- oviduct --- spermatozoa --- seminal plasma --- inflammation --- angiogenesis --- corpus luteum --- reproduction --- genomic selection --- imputation --- litter size --- genomic simulation --- artificial insemination --- antibiotics --- antibacterial activity --- semen quality --- reproductive performance --- sperm quality --- cryopreservation --- animal model --- assisted reproductive technology --- CTSS --- granulosa cells --- proliferation --- apoptosis --- hormone secretion --- body composition --- fertility --- kits born alive --- rabbit does --- feed intake --- free tri-iodothyronine --- thyroxine --- insulin --- glucose --- corticosterone --- NEFA --- fetus --- placenta
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Since the 1980s, agriculture and plant breeding have changed with the development of molecular marker technology. In recent decades, different types of molecular markers have been used for different purposes: mapping, marker-assisted selection, characterization of genetic resources, etc. These have produced effective genotyping, but the results have been costly and time-consuming due to the small number of markers that could be tested simultaneously. Recent advances in molecular marker technologies such as the development of high-throughput genotyping platforms, genotyping by sequencing, and the release of the genome sequences of major crop plants have opened new possibilities for advancing crop improvement. This Special Issue collects 16 research studies, including the application of molecular markers in 11 crop species, from the generation of linkage maps and diversity studies to the application of marker-assisted selection and genomic prediction.
Research & information: general --- Biology, life sciences --- durum wheat --- landraces --- marker-trait association --- root system architecture --- sugarcane --- parental line --- population structure --- plant breeding --- genetic diversity --- simple sequence repeats (SSR) --- Persea americana --- SMRT sequencing --- simple sequence repeat --- genetic relationship --- flavonoid biosynthesis --- fruit coloration --- marker-assisted selection --- microsatellites --- Rubus --- gene prioritization --- linkage disequilibrium --- tropical maize --- brown rice recovery --- milled rice recovery --- head rice recovery --- milling yield traits --- QTL mapping --- rice (Oryza sativa L.) --- tetraploid potato --- SNP markers --- SLAF-seq technology --- high-density genetic linkage map --- genome wide association study --- GWAS water use --- agronomic traits --- MTAs --- candidate genes --- TKW --- sedimentation volume --- SDS --- YR --- drought stress --- association mapping --- QTL hotspot --- seminal root --- gene pyramiding --- aroma --- QTL --- chromosome --- selection --- introgression line --- maize (Zea mays L.) --- Striga resistance/tolerance --- F2:3 biparental mapping --- Marker-assisted selection --- persimmon --- sex determination --- fruit astringency --- molecular markers --- genomics --- genomic selection --- genomic prediction --- whole genome regression --- grain quality --- near infra-red spectroscopy --- cereal crop --- sorghum --- multi-trait --- Triticum aestivum --- mapping population --- leaf rust --- stem rust --- pathogen races --- disease resistance --- apricot --- MAS --- breeding --- MATH --- PPV resistance --- agarose --- ParPMC --- ParPMC2-del --- high resolution melting --- ISBP markers --- drought --- MQTL --- wheat variability --- crop breeding --- genetic maps --- GWAS --- marker assisted selection --- DNA sequencing --- durum wheat --- landraces --- marker-trait association --- root system architecture --- sugarcane --- parental line --- population structure --- plant breeding --- genetic diversity --- simple sequence repeats (SSR) --- Persea americana --- SMRT sequencing --- simple sequence repeat --- genetic relationship --- flavonoid biosynthesis --- fruit coloration --- marker-assisted selection --- microsatellites --- Rubus --- gene prioritization --- linkage disequilibrium --- tropical maize --- brown rice recovery --- milled rice recovery --- head rice recovery --- milling yield traits --- QTL mapping --- rice (Oryza sativa L.) --- tetraploid potato --- SNP markers --- SLAF-seq technology --- high-density genetic linkage map --- genome wide association study --- GWAS water use --- agronomic traits --- MTAs --- candidate genes --- TKW --- sedimentation volume --- SDS --- YR --- drought stress --- association mapping --- QTL hotspot --- seminal root --- gene pyramiding --- aroma --- QTL --- chromosome --- selection --- introgression line --- maize (Zea mays L.) --- Striga resistance/tolerance --- F2:3 biparental mapping --- Marker-assisted selection --- persimmon --- sex determination --- fruit astringency --- molecular markers --- genomics --- genomic selection --- genomic prediction --- whole genome regression --- grain quality --- near infra-red spectroscopy --- cereal crop --- sorghum --- multi-trait --- Triticum aestivum --- mapping population --- leaf rust --- stem rust --- pathogen races --- disease resistance --- apricot --- MAS --- breeding --- MATH --- PPV resistance --- agarose --- ParPMC --- ParPMC2-del --- high resolution melting --- ISBP markers --- drought --- MQTL --- wheat variability --- crop breeding --- genetic maps --- GWAS --- marker assisted selection --- DNA sequencing
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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.
Research & information: general --- 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 --- linkage map --- male sterility --- marker-assisted selection --- C. fortunei --- 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 --- 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 --- silviculture --- seed zone --- tree improvement program --- breeding --- genotype × environment interaction --- mast seeding --- seed production --- thinning --- forest tree breeding --- high-throughput phenotyping --- epigenetics --- genotyping --- genomic prediction models --- quantitative trait locus --- breeding cycle --- Cryptomeria japonica var. sinensis --- demographic history --- RAD-seq --- ancient tree --- conservation --- infrared thermography --- chlorophyll fluorescence --- cumulative drought stress --- genetic conservation --- genetic management --- pine wood nematode --- pine wood nematode-Pinus thunbergii resistant trees --- 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 --- linkage map --- male sterility --- marker-assisted selection --- C. fortunei --- 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 --- 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 --- silviculture --- seed zone --- tree improvement program --- breeding --- genotype × environment interaction --- mast seeding --- seed production --- thinning --- forest tree breeding --- high-throughput phenotyping --- epigenetics --- genotyping --- genomic prediction models --- quantitative trait locus --- breeding cycle --- Cryptomeria japonica var. sinensis --- demographic history --- RAD-seq --- ancient tree --- conservation --- infrared thermography --- chlorophyll fluorescence --- cumulative drought stress --- genetic conservation --- genetic management --- pine wood nematode --- pine wood nematode-Pinus thunbergii resistant trees
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This Special Issue on molecular genetics, genomics, and biotechnology in crop plant breeding seeks to encourage the use of the tools currently available. It features nine research papers that address quality traits, grain yield, and mutations by exploring cytoplasmic male sterility, the delicate control of flowering in rice, the removal of anti-nutritional factors, the use and development of new technologies for non-model species marker technology, site-directed mutagenesis and GMO regulation, genomics selection and genome-wide association studies, how to cope with abiotic stress, and an exploration of fruit trees adapted to harsh environments for breeding purposes. A further four papers review the genetics of pre-harvest spouting, readiness for climate-smart crop development, genomic selection in the breeding of cereal crops, and the large numbers of mutants in straw lignin biosynthesis and deposition.
Wx --- transgenic cereals --- GWAS --- anther --- cytoplasmic male sterility --- mutants --- oleic acid --- QTL --- plant breeding --- QTL/genes --- lignin --- maintainer --- Japanese plum --- pre-harvest sprouting --- mutations --- RNA-seq --- fertility restoration --- Rf1 gene --- association mapping --- estimated breeding value --- non-open hull 1(noh1) --- protein --- gene mapping --- electrospray ionisation --- climate change --- genome editing --- fatty acid composition --- phloem metabolites --- ISSR --- gold hull and internode --- genotyping by sequencing --- gibberellin --- cultivar --- GmDof4 --- bioinformatics --- CRISPR/Cas9 site directed mutagenesis --- quality groups --- linkage map --- ddRAD sequencing --- breeding scheme --- mutation breeding --- PPR genes --- genetic structure --- genetic resources --- Pentatricopeptide Repeats --- crops --- amylose content --- genetic value --- seed dormancy --- diversity --- mapping populations --- cytoplasmic male sterile --- genomic prediction --- SNP --- TGW6 --- mass spectrometry --- abscisic acid --- wheat --- lodicule --- genome-wide association scan --- genomic selection --- RNA editing --- CRISPR/Cas9 --- nitrogen --- faba bean --- next generation sequencing --- zt-1 --- grass family --- differentially expressed genes --- rice --- brown midrib --- sunflower --- pedigree --- genotyping-by-sequencing --- “omics” data --- quantitative genetics --- orange lemma --- F1 hybrids --- SSR --- drought --- candidate genes --- Brassica napus --- GmDof11 --- new plant breeding techniques --- mutational breeding --- genetic modification --- cell wall --- monolignol pathway
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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.
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 --- linkage map --- male sterility --- marker-assisted selection --- C. fortunei --- 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 --- 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 --- silviculture --- seed zone --- tree improvement program --- breeding --- genotype × environment interaction --- mast seeding --- seed production --- thinning --- forest tree breeding --- high-throughput phenotyping --- epigenetics --- genotyping --- genomic prediction models --- quantitative trait locus --- breeding cycle --- Cryptomeria japonica var. sinensis --- demographic history --- RAD-seq --- ancient tree --- conservation --- infrared thermography --- chlorophyll fluorescence --- cumulative drought stress --- genetic conservation --- genetic management --- pine wood nematode --- pine wood nematode-Pinus thunbergii resistant trees --- n/a
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