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David B Neale - One of the best experts on this subject based on the ideXlab platform.
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association genetics of chemical Wood Properties in black poplar populus nigra
New Phytologist, 2013Co-Authors: Mark F Davis, Fernando P Guerra, Jill L Wegrzyn, Robert W Sykes, Brian J Stanton, David B NealeAbstract:Black poplar (Populus nigra) is a potential feedstock for cellulosic ethanol production, although breeding for this specific end use is required. Our goal was to identify associations between single nucleotide polymorphism (SNP) markers within candidate genes encoding cellulose and lignin biosynthetic enzymes, with chemical Wood property phenotypic traits, toward the aim of developing genomics-based breeding technologies for bioethanol production. Pyrolysis molecular beam mass spectrometry was used to determine contents of five- and six-carbon sugars, lignin, and syringyl : guaiacyl ratio. The association population included 599 clones from 17 half-sib families, which were successfully genotyped using 433 SNPs from 39 candidate genes. Statistical analyses were performed to estimate genetic parameters, linkage disequilibrium (LD), and single marker and haplotype-based associations. A moderate to high heritability was observed for all traits. The LD, across all candidate genes, showed a rapid decay with physical distance. Analysis of single marker-phenotype associations identified six significant marker-trait pairs, whereas nearly 280 haplotypes were associated with phenotypic traits, in both an individual and multiple trait-specific manner. The rapid decay of LD within candidate genes in this population and the genetic associations identified suggest a close relationship between the associated SNPs and the causative polymorphisms underlying the genetic variation of lignocellulosic traits in black poplar.
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identification of qtls influencing Wood property traits in loblolly pine pinus taeda l ii chemical Wood Properties
Theoretical and Applied Genetics, 2000Co-Authors: Mitchell M Sewell, Mark F Davis, Gerald A Tuskan, Nicholas C Wheeler, Carolyn C Elam, D L Bassoni, David B NealeAbstract:Chemical Wood property traits were analyzed for the presence of quantitative trait loci (QTLs) in a three-generation outbred pedigree of loblolly pine (Pinus taeda L.). These traits were assayed using pyrolysis molecular beam mass spectrometry and include mass spectrum peak intensities associated with carbohydrates, α-cellulose and hemicellulose sugars, and lignin. Models for projection to latent structures (PLS) were used to also estimate the chemical composition of cell walls (i.e., α-cellulose, galactan and lignin) from mass spectrum data using multivariate regression. Both earlyWood and lateWood fractions from the fifth annual ring were analyzed for each trait. An interval mapping approach designed for an outbred pedigree was used to estimate the number of QTLs, the magnitude of QTL effects, and their genomic position. Eight unique QTLs influencing cell wall chemistry were detected from multiple peak intensities and/or PLS estimates using the one- and two-QTL models. Significant differences in chemical contents were observed among the populations from North Carolina vs Oklahoma, and results from QTL×environment analyses suggest that QTLs interact with environmental location. QTLs should be verified in larger experiments and in different genetic and environmental backgrounds. QTL mapping will help towards eventually identifying genes having a major effect on chemical Wood Properties.
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identification of qtls influencing Wood property traits in loblolly pine pinus taeda l ii chemical Wood Properties
Theoretical and Applied Genetics, 2000Co-Authors: Mitchell M Sewell, Mark F Davis, Gerald A Tuskan, Nicholas C Wheeler, Carolyn C Elam, D L Bassoni, David B NealeAbstract:Chemical Wood property traits were analyzed for the presence of quantitative trait loci (QTLs) in a three-generation outbred pedigree of loblolly pine (Pinus taeda L.). These traits were assayed using pyrolysis molecular beam mass spectrometry and include mass spectrum peak intensities associated with carbohydrates, α-cellulose and hemicellulose sugars, and lignin. Models for projection to latent structures (PLS) were used to also estimate the chemical composition of cell walls (i.e., α-cellulose, galactan and lignin) from mass spectrum data using multivariate regression. Both earlyWood and lateWood fractions from the fifth annual ring were analyzed for each trait. An interval mapping approach designed for an outbred pedigree was used to estimate the number of QTLs, the magnitude of QTL effects, and their genomic position. Eight unique QTLs influencing cell wall chemistry were detected from multiple peak intensities and/or PLS estimates using the one- and two-QTL models. Significant differences in chemical contents were observed among the populations from North Carolina vs Oklahoma, and results from QTL×environment analyses suggest that QTLs interact with environmental location. QTLs should be verified in larger experiments and in different genetic and environmental backgrounds. QTL mapping will help towards eventually identifying genes having a major effect on chemical Wood Properties.
Cornelia Krause - One of the best experts on this subject based on the ideXlab platform.
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Wood Properties of black spruce (Picea mariana (Mill.) BSP) in relation to ring width and tree height in even- and uneven-aged boreal stands
Annals of Forest Science, 2019Co-Authors: Émilie Pamerleau-couture, Sergio Rossi, David Pothier, Cornelia KrauseAbstract:Abstract•Key MessageWood Properties were generally similar in unmanaged even-aged and uneven-aged black spruce stands. In contrast, in managed forests, Wood density was higher in even-aged than in uneven-aged stands. As ring width is the discriminant factor, forest management should regulate the intensity of partial cutting to maintain a high Wood density.•ContextNorth American boreal forests experience recurrent disturbances, such as fire and insect outbreaks, that shape the structure of even-aged and uneven-aged stands. Ecosystem-based forest management practices, such as partial cutting, aim to increase timber yields, and these forest harvesting approaches are being applied more frequently. Although the influence of these practices on tree growth is well known, few studies have examined their impact on anatomy and density of the resulting Wood.•AimThis research studied the relationships between Wood Properties and ring width and tree heights in even- and uneven-aged black spruce (Picea mariana (Mill.) BSP) stands and how these relationships are modified following partial cutting.•MethodWood density (ring, earlyWood, lateWood, and maximum density) and anatomical traits (lumen area, cell-wall thickness, and tracheid length) were measured at breast height on the stem of black spruce trees. The measured Wood Properties were then correlated with ring width and stem height.•ResultsThe model demonstrated significant correlations between most measured Wood parameters and ring width with only small differences between even- and uneven-aged unmanaged stands. Five Wood Properties were influenced by tree height in even-aged and uneven-aged unmanaged plots. Partial cutting increased the number of significant relationships between Wood Properties (ring, lateWood, maximum density, early- and lateWood lumen area, tracheid length) and tree height. We detected differences in Wood Properties between even- and uneven-aged plots. Although we detected no change in average ring density, the variation of intra-annual density increased, due to changes in earlyWood and lateWood density that resulted in more heterogeneous rings.•ConclusionPartial cutting should take into consideration the age structure of the stand when the density of Wood products matters.
Mark F Davis - One of the best experts on this subject based on the ideXlab platform.
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association genetics of chemical Wood Properties in black poplar populus nigra
New Phytologist, 2013Co-Authors: Mark F Davis, Fernando P Guerra, Jill L Wegrzyn, Robert W Sykes, Brian J Stanton, David B NealeAbstract:Black poplar (Populus nigra) is a potential feedstock for cellulosic ethanol production, although breeding for this specific end use is required. Our goal was to identify associations between single nucleotide polymorphism (SNP) markers within candidate genes encoding cellulose and lignin biosynthetic enzymes, with chemical Wood property phenotypic traits, toward the aim of developing genomics-based breeding technologies for bioethanol production. Pyrolysis molecular beam mass spectrometry was used to determine contents of five- and six-carbon sugars, lignin, and syringyl : guaiacyl ratio. The association population included 599 clones from 17 half-sib families, which were successfully genotyped using 433 SNPs from 39 candidate genes. Statistical analyses were performed to estimate genetic parameters, linkage disequilibrium (LD), and single marker and haplotype-based associations. A moderate to high heritability was observed for all traits. The LD, across all candidate genes, showed a rapid decay with physical distance. Analysis of single marker-phenotype associations identified six significant marker-trait pairs, whereas nearly 280 haplotypes were associated with phenotypic traits, in both an individual and multiple trait-specific manner. The rapid decay of LD within candidate genes in this population and the genetic associations identified suggest a close relationship between the associated SNPs and the causative polymorphisms underlying the genetic variation of lignocellulosic traits in black poplar.
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identification of qtls influencing Wood property traits in loblolly pine pinus taeda l ii chemical Wood Properties
Theoretical and Applied Genetics, 2000Co-Authors: Mitchell M Sewell, Mark F Davis, Gerald A Tuskan, Nicholas C Wheeler, Carolyn C Elam, D L Bassoni, David B NealeAbstract:Chemical Wood property traits were analyzed for the presence of quantitative trait loci (QTLs) in a three-generation outbred pedigree of loblolly pine (Pinus taeda L.). These traits were assayed using pyrolysis molecular beam mass spectrometry and include mass spectrum peak intensities associated with carbohydrates, α-cellulose and hemicellulose sugars, and lignin. Models for projection to latent structures (PLS) were used to also estimate the chemical composition of cell walls (i.e., α-cellulose, galactan and lignin) from mass spectrum data using multivariate regression. Both earlyWood and lateWood fractions from the fifth annual ring were analyzed for each trait. An interval mapping approach designed for an outbred pedigree was used to estimate the number of QTLs, the magnitude of QTL effects, and their genomic position. Eight unique QTLs influencing cell wall chemistry were detected from multiple peak intensities and/or PLS estimates using the one- and two-QTL models. Significant differences in chemical contents were observed among the populations from North Carolina vs Oklahoma, and results from QTL×environment analyses suggest that QTLs interact with environmental location. QTLs should be verified in larger experiments and in different genetic and environmental backgrounds. QTL mapping will help towards eventually identifying genes having a major effect on chemical Wood Properties.
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identification of qtls influencing Wood property traits in loblolly pine pinus taeda l ii chemical Wood Properties
Theoretical and Applied Genetics, 2000Co-Authors: Mitchell M Sewell, Mark F Davis, Gerald A Tuskan, Nicholas C Wheeler, Carolyn C Elam, D L Bassoni, David B NealeAbstract:Chemical Wood property traits were analyzed for the presence of quantitative trait loci (QTLs) in a three-generation outbred pedigree of loblolly pine (Pinus taeda L.). These traits were assayed using pyrolysis molecular beam mass spectrometry and include mass spectrum peak intensities associated with carbohydrates, α-cellulose and hemicellulose sugars, and lignin. Models for projection to latent structures (PLS) were used to also estimate the chemical composition of cell walls (i.e., α-cellulose, galactan and lignin) from mass spectrum data using multivariate regression. Both earlyWood and lateWood fractions from the fifth annual ring were analyzed for each trait. An interval mapping approach designed for an outbred pedigree was used to estimate the number of QTLs, the magnitude of QTL effects, and their genomic position. Eight unique QTLs influencing cell wall chemistry were detected from multiple peak intensities and/or PLS estimates using the one- and two-QTL models. Significant differences in chemical contents were observed among the populations from North Carolina vs Oklahoma, and results from QTL×environment analyses suggest that QTLs interact with environmental location. QTLs should be verified in larger experiments and in different genetic and environmental backgrounds. QTL mapping will help towards eventually identifying genes having a major effect on chemical Wood Properties.
Mitchell M Sewell - One of the best experts on this subject based on the ideXlab platform.
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identification of qtls influencing Wood property traits in loblolly pine pinus taeda l ii chemical Wood Properties
Theoretical and Applied Genetics, 2000Co-Authors: Mitchell M Sewell, Mark F Davis, Gerald A Tuskan, Nicholas C Wheeler, Carolyn C Elam, D L Bassoni, David B NealeAbstract:Chemical Wood property traits were analyzed for the presence of quantitative trait loci (QTLs) in a three-generation outbred pedigree of loblolly pine (Pinus taeda L.). These traits were assayed using pyrolysis molecular beam mass spectrometry and include mass spectrum peak intensities associated with carbohydrates, α-cellulose and hemicellulose sugars, and lignin. Models for projection to latent structures (PLS) were used to also estimate the chemical composition of cell walls (i.e., α-cellulose, galactan and lignin) from mass spectrum data using multivariate regression. Both earlyWood and lateWood fractions from the fifth annual ring were analyzed for each trait. An interval mapping approach designed for an outbred pedigree was used to estimate the number of QTLs, the magnitude of QTL effects, and their genomic position. Eight unique QTLs influencing cell wall chemistry were detected from multiple peak intensities and/or PLS estimates using the one- and two-QTL models. Significant differences in chemical contents were observed among the populations from North Carolina vs Oklahoma, and results from QTL×environment analyses suggest that QTLs interact with environmental location. QTLs should be verified in larger experiments and in different genetic and environmental backgrounds. QTL mapping will help towards eventually identifying genes having a major effect on chemical Wood Properties.
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identification of qtls influencing Wood property traits in loblolly pine pinus taeda l ii chemical Wood Properties
Theoretical and Applied Genetics, 2000Co-Authors: Mitchell M Sewell, Mark F Davis, Gerald A Tuskan, Nicholas C Wheeler, Carolyn C Elam, D L Bassoni, David B NealeAbstract:Chemical Wood property traits were analyzed for the presence of quantitative trait loci (QTLs) in a three-generation outbred pedigree of loblolly pine (Pinus taeda L.). These traits were assayed using pyrolysis molecular beam mass spectrometry and include mass spectrum peak intensities associated with carbohydrates, α-cellulose and hemicellulose sugars, and lignin. Models for projection to latent structures (PLS) were used to also estimate the chemical composition of cell walls (i.e., α-cellulose, galactan and lignin) from mass spectrum data using multivariate regression. Both earlyWood and lateWood fractions from the fifth annual ring were analyzed for each trait. An interval mapping approach designed for an outbred pedigree was used to estimate the number of QTLs, the magnitude of QTL effects, and their genomic position. Eight unique QTLs influencing cell wall chemistry were detected from multiple peak intensities and/or PLS estimates using the one- and two-QTL models. Significant differences in chemical contents were observed among the populations from North Carolina vs Oklahoma, and results from QTL×environment analyses suggest that QTLs interact with environmental location. QTLs should be verified in larger experiments and in different genetic and environmental backgrounds. QTL mapping will help towards eventually identifying genes having a major effect on chemical Wood Properties.
Émilie Pamerleau-couture - One of the best experts on this subject based on the ideXlab platform.
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Wood Properties of black spruce (Picea mariana (Mill.) BSP) in relation to ring width and tree height in even- and uneven-aged boreal stands
Annals of Forest Science, 2019Co-Authors: Émilie Pamerleau-couture, Sergio Rossi, David Pothier, Cornelia KrauseAbstract:Abstract•Key MessageWood Properties were generally similar in unmanaged even-aged and uneven-aged black spruce stands. In contrast, in managed forests, Wood density was higher in even-aged than in uneven-aged stands. As ring width is the discriminant factor, forest management should regulate the intensity of partial cutting to maintain a high Wood density.•ContextNorth American boreal forests experience recurrent disturbances, such as fire and insect outbreaks, that shape the structure of even-aged and uneven-aged stands. Ecosystem-based forest management practices, such as partial cutting, aim to increase timber yields, and these forest harvesting approaches are being applied more frequently. Although the influence of these practices on tree growth is well known, few studies have examined their impact on anatomy and density of the resulting Wood.•AimThis research studied the relationships between Wood Properties and ring width and tree heights in even- and uneven-aged black spruce (Picea mariana (Mill.) BSP) stands and how these relationships are modified following partial cutting.•MethodWood density (ring, earlyWood, lateWood, and maximum density) and anatomical traits (lumen area, cell-wall thickness, and tracheid length) were measured at breast height on the stem of black spruce trees. The measured Wood Properties were then correlated with ring width and stem height.•ResultsThe model demonstrated significant correlations between most measured Wood parameters and ring width with only small differences between even- and uneven-aged unmanaged stands. Five Wood Properties were influenced by tree height in even-aged and uneven-aged unmanaged plots. Partial cutting increased the number of significant relationships between Wood Properties (ring, lateWood, maximum density, early- and lateWood lumen area, tracheid length) and tree height. We detected differences in Wood Properties between even- and uneven-aged plots. Although we detected no change in average ring density, the variation of intra-annual density increased, due to changes in earlyWood and lateWood density that resulted in more heterogeneous rings.•ConclusionPartial cutting should take into consideration the age structure of the stand when the density of Wood products matters.
