Works (5)

Updated: July 5th, 2023 15:40

2017 journal article

Correspondence of Loblolly Pine Response for Fusiform Rust Disease from Local and Wide-Ranging Tests in the Southern United States

FOREST SCIENCE, 63(5), 496–503.

By: J. Spitzer*, F. Isik* , R. Whetten* , A. Farjat* & S. McKeand* 

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: tree improvement; loblolly; pine; fusiform; rust
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

Optimal Seed Deployment Under Climate Change Using Spatial Models: Application to Loblolly Pine in the Southeastern US

Journal of the American Statistical Association, 112(519), 909–920.

By: A. Farjat n, B. Reich n , J. Guinness n, R. Whetten n , S. McKeand n  & F. Isik n 

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

Variation among Loblolly Pine Seed Sources across Diverse Environments in the Southeastern United States

Forest Science, 63(1), 39–48.

By: A. Farjat*, A. Chamblee, F. Isik* , R. Whetten*  & S. McKeand* 

author keywords: Pinus taeda; seed source; provenance test; genotype x environment interaction; multienvironmental trial analysis
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2016 journal article

Genomic selection in maritime pine

PLANT SCIENCE, 242, 108–119.

By: F. Isik* , J. Bartholome *, A. Farjat n, E. Chancerel*, A. Raffin*, L. Sanchez, C. Plomion *, L. Bouffier *

co-author countries: France πŸ‡«πŸ‡· United States of America πŸ‡ΊπŸ‡Έ
author keywords: Linkage disequilibrium; Tree breeding; Genomic relationship; Bayesian regression; Pinus pinaster
MeSH headings : Algorithms; Bayes Theorem; Chromosomes, Plant / genetics; DNA, Plant / analysis; DNA, Plant / genetics; Genome, Plant / genetics; Genomics / methods; Genotype; Genotyping Techniques / methods; Linkage Disequilibrium; Models, Genetic; Phenotype; Pinus / genetics; Plant Breeding / methods; Polymorphism, Single Nucleotide; Reproducibility of Results; Selective Breeding
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Modeling Climate Change Effects on the Height Growth of Loblolly Pine

Forest Science, 61(4), 703–715.

By: A. Farjat*, F. Isik* , B. Reich* , R. Whetten n  & S. McKeand n 

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Pinus taeda; provenance test; statistical model; universal response function; climate change
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018