Search Results - "SCHIMLECK, Laurence R"

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  1. 1

    Rubberwood—Potential for Pulp and Composite Board Utilization by Ighoyivwi Onakpoma, Olukayode Y. Ogunsanwo, Oghenekevwe A. Ohwo, Sameen Raut, Queen Aguma, Laurence R. Schimleck, Scott Leavengood

    Published in Forests (01-09-2023)
    “…Rubberwood (Hevea brasiliensis Muell. Arg) is underutilized in most developing countries but has potential to be a solution to the shortage of wood for pulp,…”
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    Journal Article
  2. 2

    Effect of early age woody and herbaceous competition control on wood properties of loblolly pine by Antony, Finto, Schimleck, Laurence R., Jordan, Lewis, Clark, Alexander, Daniels, Richard F.

    Published in Forest ecology and management (15-10-2011)
    “…► We analyzed changes in wood properties of trees following competition control. ► A reduction in disk SG and LWP was observed for trees received total weed…”
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  3. 3

    Nondestructive estimation of wood chemical composition of sections of radial wood strips by diffuse reflectance near infrared spectroscopy by Jones, P. David, Schimleck, Laurence R, Peter, Gary F, Daniels, Richard F, Clark, Alexander III

    Published in Wood science and technology (01-12-2006)
    “…The use of calibrated near infrared (NIR) spectroscopy for predicting the chemical composition of Pinus taeda L. (loblolly pine) wood samples is investigated…”
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  4. 4

    Utilization of genetic algorithms to optimize loblolly pine wood property models based on NIR spectra and SilviScan data by Ho, Tu X., Schimleck, Laurence R., Dahlen, Joseph, Sinha, Arijit

    Published in Wood science and technology (01-09-2022)
    “…Near-infrared wavelengths selected by genetic algorithm were used to optimize partial least squares (PLS) regression models for loblolly pine ( Pinus taeda L.)…”
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  5. 5

    Utilization of genetic algorithms to optimize Eucalyptus globulus pulp yield models based on NIR spectra by Ho, Tu X., Schimleck, Laurence R., Sinha, Arijit

    Published in Wood science and technology (01-05-2021)
    “…An optimization problem was developed by using a genetic algorithm to select wavelengths for establishing multivariate calibration models based on partial…”
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  6. 6

    On the selection of the weighting parameter value in optimizing Eucalyptus globulus pulp yield models based on NIR spectra by Zhen, Yi, Ho, Tu X., Roberts, Lindon, Schimleck, Laurence R., Sinha, Arijit

    Published in Wood science and technology (01-11-2022)
    “…Prediction of pulp yield of Eucalyptus globulus wood samples based on partial least squares (PLS) regression can be optimized by utilizing specific near…”
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  7. 7

    Whole-tree tracheid property maps for loblolly pine at different ages by Schimleck, Laurence R., Antony, Finto, Mora, Christian, Dahlen, Joseph

    Published in Wood science and technology (01-05-2020)
    “…Maps developed using Akima’s interpolation method, and representing average data for trees aged 13 and 22 years, were used to compare patterns of within-tree…”
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  8. 8

    Mapping and modeling within-tree variation for loblolly pine pulp yield and lignin content by Schimleck, Laurence R., Antony, Finto, Mora, Christian, Dahlen, Joseph

    Published in SN applied sciences (01-04-2021)
    “…We examined the within-tree variation of pulp yield and lignin content for loblolly pine ( Pinus taeda L.) trees aged 13 and 22 years. Radial trends in pulp…”
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  9. 9

    Relationships between Static Mechanical Properties and SilviScan Measured Wood Properties in Loblolly Pine by Dahlen, Joseph, Antony, Finto, Schimleck, Laurence R, Daniels, Richard F

    Published in Forest products journal (22-03-2018)
    “…Relationships between static bending modulus of elasticity (MOE) and SilviScan (SS) properties (SilviScan MOE [MOE SS ], specific gravity, and microfibril…”
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  10. 10

    Kernel regression methods for the prediction of wood properties of Pinus taeda using near infrared spectroscopy by Mora, Christian R, Schimleck, Laurence R

    Published in Wood science and technology (01-11-2010)
    “…Near infrared diffuse reflectance spectra collected in 10-mm sections were used for the estimation of air-dry density (AD), microfibril angle (MFA), stiffness…”
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  11. 11

    Genetic variation in Pinus taeda wood properties predicted using non-destructive techniques by Isik, Fikret, Mora, Christian R., Schimleck, Laurence R.

    Published in Annals of forest science. (01-03-2011)
    “…• Background Tree breeders have been reluctant to include wood traits in tree improvement programs owing to logistic difficulties and the cost associated with…”
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  12. 12

    Whole-Tree Bark and Wood Properties of Loblolly Pine from Intensively Managed Plantations by Antony, Finto, Schimleck, Laurence R., Daniels, Richard F., Clark, Alexander, Borders, Bruce E., Kane, Michael B., Burkhart, Harold E.

    Published in Forest science (12-02-2015)
    “…A study was conducted to identify geographical variation in loblolly pine bark and wood properties at the whole-tree level and to quantify the responses in…”
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  13. 13

    Effects of Vegetation Management on Wood Properties and Plant Water Relations of Four Conifer Species in the Pacific Northwest of the USA by Joyce Aernouts, Carlos A. Gonzalez-Benecke, Laurence R. Schimleck

    Published in Forests (01-06-2018)
    “…In plantation forests, competition from unwanted vegetation may reduce survival and negatively impact tree growth. The goal of this study was to examine the…”
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  14. 14

    Modeling the effect of initial planting density on within tree variation of stiffness in loblolly pine by Antony, Finto, Schimleck, Laurence R., Jordan, Lewis, Daniels, Richard F., Clark, Alex

    Published in Annals of forest science. (01-07-2012)
    “…Context Modulus of elasticity (MOE) is an important mechanical property determining the end-use and value of loblolly pine ( Pinus taeda L.) lumber. Aim In…”
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  15. 15

    Determination of Basic Density and Moisture Content of Loblolly Pine Wood Disks Using a near Infrared Hyperspectral Imaging System by Mora, Christian R., Schimleck, Laurence R., Yoon, Seung-Chul, Thai, Chi N.

    “…The use of near infrared (NIR) hyperspectral imaging for the estimation of basic density (BD) and moisture content (MC) of loblolly pine (Pinus taeda L.) disks…”
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  16. 16

    Near Infrared Spectroscopy for Cost Effective Screening of Foliar Oil Characteristics in a Melaleuca cajuputi Breeding Population by Schimleck, Laurence R., Doran, John C., Rimbawanto, Anto

    Published in Journal of agricultural and food chemistry (23-04-2003)
    “…The identification of Melaleuca cajuputi leaf samples (trees) that demonstrate enhanced oil characteristics using near infrared (NIR) spectroscopy is…”
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  17. 17

    Determination of Basic Density and Moisture Content of Merchantable Loblolly Pine Logs by near Infrared Spectroscopy by Mora, Christian R., Schimleck, Laurence R., Clark, Alexander, Daniels, Richard F.

    “…The use of near infrared (NIR) diffuse reflectance spectroscopy for the estimation of basic density and moisture content of loblolly pine (Pinus taeda L.) logs…”
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  18. 18

    Determination of specific gravity of green Pinus taeda samples by near infrared spectroscopy: comparison of pre-processing methods using multivariate figures of merit by Mora, Christian R, Schimleck, Laurence R

    Published in Wood science and technology (01-08-2009)
    “…Near infrared diffuse reflectance was used for the determination of specific gravity in green Pinus taeda L. wood samples representing simulated increment…”
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  19. 19

    Non-destructive assessment of Pinus spp. wafers subjected to Gloeophyllum trabeum in soil block decay tests by diffuse reflectance near infrared spectroscopy by Green, Benny, Jones, P. David, Nicholas, Darrel D., Schimleck, Laurence R., Shmulsky, Rubin

    Published in Wood science and technology (01-08-2011)
    “…The use of calibrated near infrared (NIR) spectroscopy for measuring and predicting the advancement of wood decay in Pinus spp. sapwood wafers that were…”
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  20. 20

    Comparison of Pinus taeda L. whole-tree wood property calibrations using diffuse reflectance near infrared spectra obtained using a variety of sampling options by Jones, P. David, Schimleck, Laurence R., Daniels, Richard F., Clark, Alexander, Purnell, Robert C.

    Published in Wood science and technology (01-06-2008)
    “…A necessary objective for tree-breeding programs, with a focus on wood quality, is the measurement of wood properties on a whole-tree basis, however, the time…”
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