Works (10)

Updated: July 5th, 2023 14:41

2023 article

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.

By: M. Shalizi n, T. Walker n, A. Heine n, K. Payn*, F. Isik n, B. Bullock*, S. McKeand n

author keywords: block plot; genetic gain; realized gain; growth and yield modification; Pinus taeda
Sources: ORCID, Web Of Science
Added: February 4, 2023

2022 journal article

Long-term evaluation of intra- and inter-provenance hybrids of loblolly pine in the Piedmont region of the southeastern United States


By: M. Shalizi n, K. Payn n, T. Walker n, F. Isik n, A. Heine n & S. McKeand n

author keywords: Genetic source; Minimum winter temperature; Cold tolerance; Stand volume; Survival
Sources: Web Of Science, ORCID
Added: October 3, 2022

2022 article

Pollination Bag Type Affects Ovule Development and Seed Yields in Pinus taeda L.

Heine, A. J., Walker, T. D., Jett, J. B., Isik, F., & McKeand, S. E. (2022, December 14). FOREST SCIENCE, Vol. 12.

By: A. Heine n, T. Walker n, J. Jett n, F. Isik n & S. McKeand n

author keywords: Pinus taeda; cone analysis; controlled pollination; seed yield; seed orchard
Sources: ORCID, Web Of Science
Added: December 15, 2022

2021 journal article


TRANSACTIONS OF THE ASABE, 64(6), 2045–2059.

By: Y. Lu*, K. Payn*, P. Pandey*, J. Acosta*, A. Heine*, T. Walker*, S. Young*

author keywords: Cost-sensitive learning; Freeze tolerance; Hyperspectral imaging; Plant phenotyping; Support vector machine
Sources: ORCID, Web Of Science
Added: January 7, 2022

2021 journal article

Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings


By: P. Pandey n, K. Payn n, Y. Lu*, A. Heine n, T. Walker n, J. Acosta n, S. Young n

author keywords: plant imaging; computer vision; forestry; disease discrimination; hyperspectral imaging; plant phenotyping; machine learning
Sources: ORCID, Web Of Science
Added: September 11, 2021

2021 journal article

Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging

FOREST SCIENCE, 67(3), 321–334.

By: Y. Lu*, T. Walker n, J. Acosta n, S. Young n, P. Pandey n, A. Heine n, K. Payn n

author keywords: loblolly pine; freeze damage; hyperspectral imaging; predictive modeling; variable selection
Sources: ORCID, Web Of Science
Added: April 7, 2021

2021 journal article

Provenance and Family Variation in Biomass Potential of Loblolly Pine in the Piedmont of North Carolina

FOREST SCIENCE, 67(3), 312–320.

By: J. Maynor*, F. Isik n, T. Walker n, R. Whetten n, A. Heine n, K. Payn n, S. McKeand n

author keywords: bioenergy; genetics; Pinus taeda; wood quality
Sources: ORCID, Web Of Science
Added: March 24, 2021

2020 journal article

Economic Significance of Continued Improvement of Loblolly Pine Genetics and Its Efficient Deployment to Landowners in the Southern United States

Journal of Forestry, 119(1), 62–72.

By: S. McKeand n, K. Payn n, A. Heine n & R. Abt n

author keywords: genetic gain; Pinus taeda; plantations; tree breeding
Sources: ORCID, Web Of Science, Crossref
Added: December 7, 2020

2020 journal article

Pollination Bag Type Has a Significant Impact on Cone Survival in Mass Production of Controlled Pollinated Seeds in Loblolly Pine

Forest Science, 66(5), 589–599.

By: A. Heine n, T. Walker n, S. McKeand n, J. Jett n & F. Isik n

author keywords: Pinus taeda; seed orchard; controlled pollination; conelet survival
Sources: ORCID, Crossref
Added: June 17, 2020

2018 thesis

Comparison of Pollination Bags for Mass Production of Controlled Cross Seeds in Loblolly Pine

Source: ORCID
Added: August 4, 2020


Updated: February 4th, 2023 21:32

2023 - present

ArborGen LLC Ridgeville, SC, US
Reforestation Advisor - NC and VA

2014 - 2022

North Carolina State University Raleigh, North Carolina, US
Operations Manager of the NCSU Cooperative Tree Improvement Program Forestry and Environmental Resources


Updated: December 17th, 2019 18:05

2013 - 2018

North Carolina State University Raleigh, NC, US
MS Forestry Forestry and Environmental Resources