scholarly journals Inheritance and Correlation Analysis of Pulpwood Properties, Wood Density, and Growth Traits of Slash Pine

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 493 ◽  
Author(s):  
Yanjie Li ◽  
Xianyin Ding ◽  
Jingmin Jiang ◽  
Qifu Luan
Keyword(s):  
Wood Density ◽  
Growth Traits ◽  
Lignin Content ◽  
Pinus Elliottii ◽  
Wood Properties ◽  
Slash Pine ◽  
Wood Traits ◽  
Breeding Selection ◽  
The Relationship

Slash pine (Pinus elliottii) is the most important and a fast-growing material that is used for industrial timber and pulp production. A breeding program of slash pine that aims to improve wood properties has been employed for the past decade. This study analysed the genetics and correlation of growth traits and wood properties of a total of 1059 individual plants from 49 families of P. elliottii. Heritability, family ranking, genetic gain, and the relationship between these traits were estimated. The results showed that there was a significant negative genetic correlation between the holocellulose and lignin content. The heritabilities of these four traits were ranked from 0.18 to 0.32. The chemical wood traits did not show a strong correlation with diameter at breast height (DBH) and wood density. However, it is still possible to combine wood traits for selection. It was suggested that the genetic breeding selection could improve the growth and quality of P. elliottii.

Growth and wood properties of genetically improved loblolly pine: propagation type comparison and genetic parameters

2014 ◽  
Vol 44 (3) ◽  
pp. 263-272 ◽  
Author(s):  
Finto Antony ◽  
Laurence R. Schimleck ◽  
Lewis Jordan ◽  
Benjamin Hornsby ◽  
Joseph Dahlen ◽  
...  
Keyword(s):  
Wood Density ◽  
Loblolly Pine ◽  
Growth Traits ◽  
Genetic Correlations ◽  
Tree Height ◽  
Wood Properties ◽  
Genetically Improved ◽  
Growth Properties ◽  
Wood Traits ◽  
Clonal Lines

The use of clonal varieties in forestry offers great potential to improve growth traits (quantity) and wood properties (quality) of loblolly pine (Pinus taeda L.). Loblolly pine trees established via somatic embryogenesis (clones), full-sib zygotic crosses, and half-sib zygotic open-pollinated families were sampled to identify variation in growth and wood properties among and within clonal lines and zygotic controls. Increment cores 5 mm in diameter were collected at age 4 from a total of 2615 trees. Growth properties (diameter at 1.4 m and total tree height) and wood properties (whole-core density, latewood and earlywood density, and latewood percent) were measured for each tree sampled in the study. Overall, growth properties were better for full-sib seedling than for clonal lines, whereas wood density was higher for clonal lines than full-sib and open-pollinated seedlings. However, there were clonal lines with better growth and higher wood density. Clonal repeatability of both growth and wood properties across sampled sites and genetic correlations between growth and wood traits were determined, with higher repeatability observed for wood traits compared with growth traits. Significant genetic correlations were observed for tree height and wood properties, whereas weak correlations were observed for diameter and wood properties.

Susceptibility of pretreated wood sections of Norway spruce (Picea abies) clones to enzymatic hydrolysis

2012 ◽  
Vol 42 (1) ◽  
pp. 38-46 ◽  
Author(s):  
Yohama Puentes Rodriguez ◽  
Helena Puhakka-Tarvainen ◽  
Ossi Pastinen ◽  
Matti Siika-aho ◽  
Leila Alvila ◽  
...  
Keyword(s):  
Enzymatic Hydrolysis ◽  
Picea Abies ◽  
Norway Spruce ◽  
Wood Density ◽  
Lignin Content ◽  
Trichoderma Viride ◽  
Wood Decay ◽  
Wood Properties ◽  
Acid Pretreatment ◽  
The Relationship

The structure of softwoods, which confers resistance to degradation through hydrolysis and decay, currently limits their use for the production of biofuels. However, since wood is very heterogeneous, it is possible that differences in wood properties within and between trees could differentially affect its processability. In this research, heartwood (inner) and sapwood (outer) from Norway spruce ( Picea abies (L.) Karst.) clones were enzymatically hydrolyzed by Trichoderma viride cellulases after concentrated acid pretreatment. Wood sections with two particle sizes were compared based on their susceptibility to enzymatic hydrolysis, evaluated by assaying the formation of hydrolysis products and measured as reducing sugar yield (RSY). We also studied the relationship between RSY and the susceptibility to Heterobasidion parviporum wood decay and whether these traits are reflected in wood density and yield. Wood from the outer section produced more RSY with higher glucan but lower lignin content than wood from the inner section. Furthermore, susceptibility to enzymatic hydrolysis was positively correlated with H. parviporum wood decay, while both processes were negatively correlated with wood density. Our results revealed the importance of clonal trials for identifying suitable lignocellulosic biomass when considering wood properties and indicate that potential genotypes for the production of biofuels are not necessarily the most productive.

Genetics of physical wood properties and early growth in a tropical pine hybrid

2003 ◽  
Vol 33 (10) ◽  
pp. 1923-1932 ◽  
Author(s):  
Mervyn Shepherd ◽  
Michael Cross ◽  
Mark J Dieters ◽  
Kevin Harding ◽  
Dominic Kain ◽  
...  
Keyword(s):  
Wood Density ◽  
Growth Traits ◽  
Secondary Growth ◽  
Ring Width ◽  
Pinus Elliottii ◽  
Wood Properties ◽  
Early Growth ◽  
Diameter Growth ◽  
Qtl Detection ◽  
Putative Qtls

Quantitative trait locus (QTL) detection was carried out for physical wood properties and early growth traits in an interspecific hybrid between Pinus elliottii var. elliottii Engelm. and Pinus caribaea var. hondurensis (Sénécl) Barr. et Golf. A pseudo-testcross QTL detection strategy was used to identify genome regions that influenced wood density, secondary growth, and dry wood mass index on each genetic map for the parents of a single F1 family (n = 133). Traits were measured for annual ring and earlywood and latewood components and were based on both individual and average ring values from 1996 to 1999. A total of 12 significant putative QTLs were identified that clustered into four genomic regions in the P. elliottii var. elliottii parent and a single region in the P. caribaea var. hondurensis parent. The P. elliottii var. elliottii parent largely contributed putative QTLs for diameter growth and wood density, whereas the P. caribaea var. hondurensis parent contributed a putative QTL for earlywood formed in 1997. Putative QTLs that influenced density and ring width did not colocate, suggesting independent inheritance of these characters. This was consistent with the lack of genetic correlation between wood density and diameter growth observed in quantitative studies in hybrid pines.

Breeding for improved growth and juvenile corewood stiffness in slash pine

2007 ◽  
Vol 37 (10) ◽  
pp. 1886-1893 ◽  
Author(s):  
Xiaobo Li ◽  
Dudley A. Huber ◽  
Gregory L. Powell ◽  
Timothy L. White ◽  
Gary F. Peter
Keyword(s):  
Genetic Correlation ◽  
Growth Traits ◽  
Low Cost ◽  
Genetic Correlations ◽  
Volume Growth ◽  
Pinus Elliottii ◽  
Tree Improvement ◽  
Slash Pine ◽  
Narrow Sense Heritability ◽  
Improvement Programs

The importance of integrating measures of juvenile corewood mechanical properties, modulus of elasticity in particular, with growth and disease resistance in tree improvement programs has increased. We investigated the utility of in-tree velocity stiffness measurements to estimate the genetic control of corewood stiffness and to select for trees with superior growth and stiffness in a progeny trial of 139 families of slash pine, Pinus elliottii Engelm. grown on six sites. Narrow-sense heritability estimates across all six sites for in-tree acoustic velocity stiffness at 8 years (0.42) were higher than observed for height (0.36) and diameter at breast height (DBH) (0.28) at 5 years. The overall type B genetic correlation across sites for velocity stiffness was 0.68, comparable to those found for DBH and volume growth, indicating that family rankings were moderately repeatable across all sites for these traits. No significant genetic correlations were observed between velocity stiffness, DBH, and volume growth. In contrast, a significant, but small, favorable genetic correlation was found between height and velocity stiffness. Twenty percent of the families had positive breeding values for both velocity stiffness and growth. The low cost, high heritability and nearly independent segregation of the genes involved with in-tree velocity stiffness and growth traits indicate that acoustic methods can be integrated into tree improvement programs to breed for improved corewood stiffness along with growth in slash pine.

Variation among slash pine families in chlorophyll fluorescence traits

2003 ◽  
Vol 33 (6) ◽  
pp. 1102-1109 ◽  
Author(s):  
Anita C Koehn ◽  
James H Roberds ◽  
Robert L Doudrick
Keyword(s):  
Photosystem Ii ◽  
Growth Traits ◽  
Pinus Elliottii ◽  
Nonphotochemical Quenching ◽  
Slash Pine ◽  
Photochemical Quenching ◽  
Full Sibling ◽  
Pretreatment Effects ◽  
Pattern Of Variation ◽  
Variance Profile

Photochemical quenching, nonphotochemical quenching, and yield of photosystem II were measured on seedlings of full-sibling, open-, and self-pollinated slash pine (Pinus elliottii Engelm. var. elliottii) families. Our results reveal that genetic variation in photochemical quenching and yield of photosystem II exists within this species. The pattern of variation found in these traits is consistent with the variance profile expected to occur as a result of segregation among nuclear genes. Variation among families accounted for 17% of the total variation observed in photochemical quenching, whereas the component for trees within families made up slightly more than 25% of the total. Less variation, both among families as well as among trees within families, was found for yield of photosystem II. A strikingly different pattern was observed for nonphotochemical quenching. Other than the error term, only pretreatment effects contributed significantly to the variation observed. This suggests that nonphotochemical quenching is largely influenced by environmental factors. With regard to associations between fluorescence and growth traits, both height and diameter growth were found to be positively correlated with photochemical quenching (0.36 and 0.33, respectively) when selfed and open-pollinated families were analyzed along with control-pollinated families.

scholarly journals Identification of genetic markers and wood properties that predict wood biorefinery potential in aspen bioenergy feedstock (Populus tremula).

2021 ◽  
Author(s):  
Sacha Escamez ◽  
Mikko Luomaranta ◽  
Niklas Mahler ◽  
Madhavi Latha Gandla ◽  
Kathryn M Robinson ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Genetic Markers ◽  
Genome Wide Association Study ◽  
Growth Traits ◽  
Wood Properties ◽  
Yield Traits ◽  
Bioenergy Feedstock ◽  
European Aspen ◽  
Wood Traits ◽  
Wood Chemical Composition

Wood represents the majority of the biomass on lands, and it constitutes a renewable source of biofuels and other bioproducts. However, wood is recalcitrant to bioconversion, meaning that feedstocks must be improved. We investigated the properties of wood that affect bioconversion, as well as the underlying genetics, to help identify superior biorefinery tree feedstocks. We recorded as many as 65 wood-related and growth traits in a population of European aspen natural genotypes. These traits included three growth and field performance traits, 20 traits for wood chemical composition, 17 traits for wood anatomy and structure, and 25 wood saccharification traits as indicators of bioconversion potential. We used statistical modelling to determine which wood traits best predict bioconversion yield traits. This way, we identified a core set of wood properties that predict bioprocessing traits. Several of these predictor traits showed high broad-sense heritability, suggesting potential for genetic improvement of feedstocks. Finally, we performed genome-wide association study (GWAS) to identify genetic markers for yield traits or for wood traits that predict yield. GWAS revealed only a few genetic markers for saccharification yield traits, but many more SNPs were associated with wood chemical composition traits, including predictors traits for saccharification. Among them, 16 genetic markers associated specifically with lignin chemical composition were situated in and around two genes which had not previously been associated with lignin. Our approach allowed linking aspen wood bioprocessing yield to wood properties and the underlying genetics, including the discovery of two new potential regulator genes for wood chemical composition.

Genetic variation in basal area increment phenology and its correlation with growth rate in loblolly and slash pine families and clones

2006 ◽  
Vol 36 (4) ◽  
pp. 961-971 ◽  
Author(s):  
Veronica I Emhart ◽  
Timothy A Martin ◽  
Timothy L White ◽  
Dudley A Huber
Keyword(s):  
Growth Rate ◽  
Growth Traits ◽  
Negative Impact ◽  
Basal Area ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Basal Area Increment ◽  
Individual Tree ◽  
Basal Area Growth ◽  
Area Growth

We quantified basal area increment phenology over a 2-year period in one loblolly pine (Pinus taeda L.) and four slash pine (Pinus elliottii Engelm. var. elliottii) full-sib families propagated as rooting cuttings. In 2002, basal area growth started in March and stopped in October for both species, while in 2003, initiation and cessation occurred 2 weeks earlier for all families. In both years, peaks in basal area increment occurred in short (2–3 week) periods in the early spring for all families, followed by linear basal area growth until cessation. While there were significant size differences among taxa (species and families) at age 6 and 7 years, genetic differences in basal area growth rate were only expressed during short, discrete time periods primarily in the spring and fall. Basal area growth rate increased during periods when water soil availability increased (up to 300 mm), but an excess in water availability in the soil had a negative impact on growth. Within-family individual-tree broad-sense heritabilities ranged from 0.01 to 0.37 for all traits. In general, heritabilities were higher for growth traits than for phenological traits for all families. Both the strength and direction of correlation estimates of phenological traits with growth rate varied across families and years.

scholarly journals Variation and Correlations Among Stem Growth and Wood Traits of Calycophyllum spruceanum Benth. from the Peruvian Amazon

2005 ◽  
Vol 54 (1-6) ◽  
pp. 31-41 ◽  
Author(s):  
J. C. Weber ◽  
C. Sotelo Montes
Keyword(s):  
Wood Density ◽  
Heat Content ◽  
Wood Properties ◽  
International Markets ◽  
Stem Growth ◽  
Peruvian Amazon ◽  
Stem Wood ◽  
Farming Communities ◽  
Wood Traits ◽  
The Difference

Abstract Calycophyllum spruceanum Benth. is an important tree for timber and energy in the western Amazon, with expanding national and international markets for its wood. There is relatively little information, however, about geographic variation in tree growth and wood properties, and correlations among these traits. The first provenance trial was established with farming communities in the Peruvian Amazon. Seven provenances, sampled from regions near the equator, were tested in three planting zones located in one watershed. Variation and correlations were investigated in stem growth at 30 and 42 months, wood density (in the lower and upper parts of the stem) and mean heat content of stem wood at 32 months. Stem height varied significantly among provenances and planting zones, but zones accounted for much more variation than provenances. Stem wood traits did not vary significantly among provenances. Wood density was greater in the lower than in the upper stem. Wood density in the upper stem and the difference in density between the lower and upper stem varied significantly among planting zones: density in the upper stem was lowest, and the difference in density between the lower and upper stem was largest in the zone where trees grew most rapidly. Phenotypic correlations between stem growth and wood density differed in sign among planting zones, suggesting that selecting fastgrowing trees could indirectly reduce wood density in environments where trees grow slowly, and increase the difference in wood density between the lower and upper stem in environments where trees grow very rapidly. Correlations between stem growth and wood heat content were stable across zones, and indicated that larger trees tended to have wood with higher heat content. Stem-wood heat content varied with provenance latitude/ longitude in the sample region, but none of the other traits varied clinally. Results indicate that there is potential to select faster-growing provenances at an early age, but this could affect wood density in certain environments.

scholarly journals Modeling cross-regulatory influences on monolignol transcripts and proteins under single and combinatorial gene knockdowns in Populus trichocarpa

2019 ◽  
Author(s):  
Megan L. Matthews ◽  
Jack P. Wang ◽  
Ronald Sederoff ◽  
Vincent L. Chiang ◽  
Cranos M. Williams
Keyword(s):  
Computational Model ◽  
Biosynthetic Pathway ◽  
Computational Models ◽  
Lignin Content ◽  
Populus Trichocarpa ◽  
Lignin Biosynthesis ◽  
Wood Properties ◽  
Specific Gene ◽  
Driving Mechanisms ◽  
Wood Traits

AbstractAccurate manipulation of metabolites in the monolignol biosynthetic pathway is a key step for controlling lignin content, structure, and other wood properties important to the bioenergy and biomaterial industries. A crucial component of this strategy is predicting how single and combinatorial knockdowns of monolignol specific gene transcripts influence the abundance of monolignol proteins, which are the driving mechanisms of monolignol biosynthesis. Computational models have been developed to estimate protein abundances from transcript perturbations of monolignol specific genes. The accuracy of these models, however, is hindered by the inability to capture indirect regulatory influences on other pathway genes. Here, we examine the manifestation of these indirect influences collectively on transgenic transcript and protein abundances, identifying putative indirect regulatory influences that occur when one or more specific monolignol pathway genes are perturbed. We created a computational model using sparse maximum likelihood to estimate the resulting monolignol transcript and protein abundances in transgenic Populus trichocarpa based on desired single or combinatorial knockdowns of specific monolignol genes. Using in-silico simulations of this model and root mean square error, we show that our model more accurately estimates transcript and protein abundances in differentiating xylem tissue when individual and families of monolignol genes were perturbed. This approach provides a useful computational tool for exploring the cascaded impact of single and combinatorial modifications of monolignol specific genes on lignin and other wood properties. Additionally, these results can be used to guide future experiments to elucidate the mechanisms responsible for the indirect influences.Author summaryEngineering trees to have desirable lignin and wood traits is of significant interest to the bioenergy and biomaterial industries. Genetically modifying the expression of the genes that drive the monolignol biosynthetic pathway is a useful method for obtaining new traits. Modifying the expression of one gene affects not only the abundance of its encoded protein, but can also indirectly impact the amount of other transcripts and proteins. These proteins drive the monolignol biosynthetic pathway. Having an accurate representation of their abundances is key to understanding how lignin and wood traits are altered. We developed a computational model to estimate how the abundance of monolignol transcripts and proteins are changed when one or more monolignol genes are knocked down. Specifying only the abundances of the targeted genes as input, our model estimates how the levels of the other, untargeted, transcripts and proteins are altered. Our model captures indirect regulatory influences at the transcript and protein levels observed in experimental data. The model is an important addition to current models of lignin biosynthesis. By incorporating our approach into the existing models, we expect to improve our ability to explore how new combinations of gene knockdowns impact lignin and many other wood properties.

scholarly journals Geographic Variations of the Wood Density and Fiber Dimensions of the Persian Oak Wood

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1003
Author(s):  
Noorollah Nazari ◽  
Mohsen Bahmani ◽  
Saleh Kahyani ◽  
Miha Humar ◽  
Gerald Koch
Keyword(s):  
Native Species ◽  
Growth Traits ◽  
Basal Area ◽  
Principal Component ◽  
Wood Properties ◽  
Dry Density ◽  
Geographic Variations ◽  
Oak Wood ◽  
Fiber Dimensions ◽  
The Relationship

Persian oak (Quercus brantii Lindl.) is a valuable native species in Iranian forests with very limited availability of data on its wood properties. The objective of the current study was to determine the influence of altitude and slope on physical properties and fiber dimensions of Persian oak wood. In addition, the relationship among wood properties, site conditions (temperature and rainfall) and growth traits of trees (tree height, DBH, basal area, age, crown diameter, crown basal area, volume and annual diameter increment) were studied by principal component analysis (PCA). Three altitude levels (1730, 1980 and 2250 m) and three slope classes (<30%, 30–45% and >45%) were considered in the current study. It was determined that trees growing in the intermediate altitude (1980 m) showed the highest oven-dry density values, and those in the lowest altitude (1730 m) revealed the lowest ones. The results also indicate significant statistical differences between altitude levels and slope classes on the fiber length, fiber diameter and volumetric swelling at the 99% confidence interval while no significant differences were found between average values of oven-dry density among different altitudes and slopes. PCA analysis indicated that altitude and temperature are the most important factors affecting the wood properties. Knowledge of the relationship between wood properties and environmental factors are essential in terms of both forestry management and wood applications.

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