2019 journal article
Tree resin flow dynamics during an experimentally induced attack by Ips avulsus, I. calligraphus, and I. grandicollis
CANADIAN JOURNAL OF FOREST RESEARCH, 49(1), 53–63.
2014 journal article
Modeling genetic effects on growth of diverse provenances and families of loblolly pine across optimum and deficient nutrient regimes
Canadian Journal of Forest Research, 44(11), 1453–1461.
2011 journal article
Total and merchantable stem volume equations for midrotation loblolly pine (Pinus taeda L.)
Southern Journal of Applied Forestry, 35(3), 105–108.
2010 journal article
Selection efficiency for solid wood traits in pinus taeda using time-of-flight acoustic and micro-drill resistance methods
Forest Science, 56(3), 233–241.
2008 journal article
Spatial correlation matrix selection using Bayesian model averaging to characterize inter-tree competition in loblolly pine trees
Journal of Applied Statistics, 35(9), 967–977.
2006 conference paper
Prediction of whole-stem solid wood properties of superior loblolly pine clones for deployment
Information Exchange Group 40 Conference, Incorporating Genetic Advances into Forest Productivity Systems: Value for All Landowners, 40, 25.
2005 journal article
An evaluation of spatial dependency in juvenile loblolly pine stands using stem diameter
Forest Science, 51(2), 102–108.
2005 conference paper
Comparing parameter estimation techniques for diameter distributions of loblolly pine
Proceedings of the 28th Southern Forest Tree Improvement Conference, 104–106.
2005 conference paper
Total inside-bark volume estimation for loblolly pine (Pinus taeda L.) in genetic trials
Proceedings of the 28th Southern Forest Tree Improvement Conference, 123–125.
2004 conference paper
Ten-year response of diverse families of loblolly pine to fertilization
In B. Li & S. McKeand (Eds.), Forest Genetics and Tree Breeding in the Age of Genomics: Progress and Future, IUFRO Joint Conference of Division 2, Conference Proceedings (pp. 453–455).
Ed(s): B. Li & S. McKeand
2003 journal article
Equations for predicting green weight of loblolly pine trees in the South
Southern Journal of Applied Forestry, 27(3), 153–159.