2016
DOI: 10.3832/ifor1725-009
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Effect of seedling stock on the early stand development and physiology of improved loblolly pine (Pinus taeda L.) seedlings

Abstract: , Don C Bragg (5) This study assessed the effects of spacing and genotype on the growth and physiology of improved loblolly pine (Pinus taeda L.) seedlings from three distinct genotypes planted in Drew County, Arkansas (USA). Genotype had a significant effect on survival and height. Clone CF Var 1 showed greater height and survival compared to other seedlings. Genotype had significant effects on uniformity in height both years and ground line diameter (GLD) first year. However, genotype had no significant e… Show more

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Cited by 3 publications
(8 citation statements)
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“…7 For example, pine is a wind-pollinated crop, and pine plantations have covered more than 32 million acres in the southeastern United States, where loblolly pine (Pinus taeda L.) is a commercially important and native pine species. 8,9 Pine consists of approximately 42 wt % cellulose, 21 wt % hemicellulose, 26 wt % lignin, and 3 wt % extractive. 7 Natural fibers like these have been found to be able to improve the thermal and mechanical properties of polymers for composite applications.…”
Section: ■ Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…7 For example, pine is a wind-pollinated crop, and pine plantations have covered more than 32 million acres in the southeastern United States, where loblolly pine (Pinus taeda L.) is a commercially important and native pine species. 8,9 Pine consists of approximately 42 wt % cellulose, 21 wt % hemicellulose, 26 wt % lignin, and 3 wt % extractive. 7 Natural fibers like these have been found to be able to improve the thermal and mechanical properties of polymers for composite applications.…”
Section: ■ Introductionmentioning
confidence: 99%
“…Natural fibers, from crops such as pine, poplar, corn stover, and switchgrass, have been widely developed in the United States from research efforts on the production of biomaterials and biofuels . For example, pine is a wind-pollinated crop, and pine plantations have covered more than 32 million acres in the southeastern United States, where loblolly pine (Pinus taeda L.) is a commercially important and native pine species. , Pine consists of approximately 42 wt % cellulose, 21 wt % hemicellulose, 26 wt % lignin, and 3 wt % extractive . Natural fibers like these have been found to be able to improve the thermal and mechanical properties of polymers for composite applications. , However, the low dispersibility of natural fibers and low interfacial adhesion between natural fibers and PLA has created unique challenges for producing viable industrial composites .…”
Section: Introductionmentioning
confidence: 99%
“…Agroforestry pines had a better survival rate than those of the plantation. The difference in survival performance between planting patterns likely re ects competition-induced mortality associated with spacing (Sharma et al, 2013). Loblolly pine is a shade-intolerant species and, therefore, is more sensitive to competition, particularly when grown in planted monocultures with narrow spacing (Fowells, 1965).…”
Section: Discussionmentioning
confidence: 99%
“…Overall, more attention has focused on the effects of different genetic materials on the height-age relationship (site index), height-diameter relationship, and the modification of existing general stand models to reflect the genetic gain of improved stands, with less attention paid to tree height and diameter distributions, basal area growth, crown width, and biomass models, or the relationships between various models (Sun et al 2004). Genetics obviously has significant effects on height, diameter, and survival rate (Sharma et al 2013;Ye et al 2010), but genetic factors may affect diameter and height development disproportionally, thus affecting the stem shape and profile (Sabatia and Burkhart 2013). Genetics also can have a significant effect on height distributions and tree size distributions (Weng et al 2010;Sabatia and Burkhart 2013).…”
Section: Other Factors Affecting Growth and Yield Models Of Genetically Improved Standsmentioning
confidence: 99%
“…), allometry (e.g. tree heightdiameter ratio) (Kroon et al 2008;Weng et al 2008;Sharma et al 2013;Egbäck et al 2014), and different wood properties (Missanjo and Matsumura 2016;Kimberley et al 2016;Moore et al 2017). The use of models based on unimproved stands to predict the future growth and yield of genetically improved stands has greatly limited prediction accuracy and model application, which can adversely affect management decision-making (Adams et al 2006).…”
Section: Introductionmentioning
confidence: 99%