Conference & Workshop proceedings, paper, abstract
Multitrait GWAS and supervised machine learning reveal the genetic architecture of Fraxinus excelsior tolerance to ash dieback in Europe
Doonan J, Budde K, Lobo A, Verbylaite R, Pliūra A, Ulaszewski B, et al. Multitrait GWAS and supervised machine learning reveal the genetic architecture of Fraxinus excelsior tolerance to ash dieback in Europe. In: IUFRO , editor. Forests & Society Towards 2050. 26th IUFRO World Congress - Book of Abstracts [Internet]. IUFRO International Union of Forest Research Organizations; 2024. Available from: iufro2024.com/wp-content/uploads/iufro2024abstracts.pdf
external links and characteristics of the publication:
iufro2024.comBOKU Autors
Thomas Kirisits
Univ.Prof. Dipl.-Ing.Dr.nat.techn. Thomas Kirisits
Heino Konrad
Dipl.-Ing. Heino Konrad
