Bronson P. Bullock

Performance Based on Measurements from Individual-Tree Progeny Tests Strongly Predicts Early Stand Yield in Loblolly Pine

Shalizi, M. N., Walker, T. D., Heine, A. J., Payn, K. G., Isik, F., Bullock, B. P., & McKeand, S. E. (2023, February 3). FOREST SCIENCE, Vol. 2.

A Growth and Yield Model for Eucalyptus benthamii in the Southeastern United States

FOREST SCIENCE, 66(1), 25–37.

Modeling Self-Thinning Patterns in Loblolly Pine with Provenance and Family Effects

FOREST SCIENCE, 66(6), 712–725.

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.

Variation in Stem Taper and Growth Traits in a Clonal Trial of Loblolly Pine

FOREST SCIENCE, 61(1), 76–82.

Assessing Sampling and Model Error in Standing Green Weight Estimation for a Loblolly Pine Plantation

FOREST SCIENCE, 60(4), 623–627.

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.

Factors influencing the growth of radiata pine plantations in Chile

Forestry, 86(1), 13–26.

Genetic effects on stand-level uniformity and above- and belowground dry mass production in juvenile loblolly pine

FOREST ECOLOGY AND MANAGEMENT, 262(4), 609–619.

Total and merchantable stem volume equations for midrotation loblolly pine (Pinus taeda L.)

Southern Journal of Applied Forestry, 35(3), 105–108.

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.

Species Diversity and Composition in Old Growth and Second Growth Rich Coves of the Southern Appalachian Mountains

CASTANEA, 74(1), 27–38.

An evaluation of selection for volume growth in loblolly pine

SILVAE GENETICA, 57(1), 22–28.

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.

Deriving tree diameter distributions using Bayesian model averaging

FOREST ECOLOGY AND MANAGEMENT, 242(2-3), 127–132.

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.

An evaluation of spatial dependency in juvenile loblolly pine stands using stem diameter

Forest Science, 51(2), 102–108.

Comparing parameter estimation techniques for diameter distributions of loblolly pine

Proceedings of the 28th Southern Forest Tree Improvement Conference, 104–106.

Juvenile diameter distributions of loblolly pine characterized by the two-parameter Weibull function

NEW FORESTS, 29(3), 233–244.

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.

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).

Equations for predicting green weight of loblolly pine trees in the South

Southern Journal of Applied Forestry, 27(3), 153–159.