Naslov
Phenotypic trait variation measured on European genetic trials of Fagus sylvatica L.

Autori
Robson, T., Matthew, Garzon, Marta Benito, Ricardo Alia, Miranda, Diana Barba Egido, Saša Bogdan, Attila Borovics, Gregor Božič, Oliver Brendel, Jo Clark, Sven M.G. De Vries, Ivan I Delehan, Alexis Ducousso, Bruno Fady, John Fennessy, Manfred Forstreuter, Josef Frýdl, Thomas Geburek, Dušan Gömöry, Maria Hauke-Kowalska, Gerhard Huber, Juan- Ignacio Ibañez, Lucia Ioniţă, Mladen Ivanković, Jon Kehlet Hansen, Anikó Kóczán- Horváth, Hojka Kraigher, Steve Lee, Mirko Liesebach, Csaba Mátyás, Patrick Mertens, Hans-Jakob Muhs, Petr Novotný, Gheorghe Parnuţa, Ladislav Paule, Alvaro Picardo, Ervin Rasztovics , Martin Rogge, Lars-Göran Stener, Małgorzata Sułkowska, Otmar Urban, Georg Von Wuehlisch, Giovanni G Vendramin, Cristina Vettori & Wojciech Wesoły

Izvornik
Scientific data (2052-4463) 5 (2018); 180149, 7

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
common beech, genetic trials, phenotypes

Sažetak
We present BeechCOSTe52 ; a database of European beech (Fagus sylvatica) phenotypic measurements for several traits related to fitness measured in genetic trials planted across Europe. The dataset was compiled and harmonized during the COST-Action E52 (2006–2010), and subsequently cross-validated to ensure consistency of measurement data among trials and provenances. Phenotypic traits (height, diameter at breast height, basal diameter, mortality, phenology of spring bud burst and autumn–leaf discoloration) were recorded in 38 trial sites where 217 provenances covering the entire distribution of European beech were established in two consecutive series (1993/95 and 1996/98). The recorded data refer to 862, 095 measurements of the same trees aged from 2 to 15 years old over multiple years. This dataset captures the considerable genetic and phenotypic intra-specific variation present in European beech and should be of interest to researchers from several disciplines including quantitative genetics, ecology, biogeography, macroecology, adaptive management of forests and bioeconomy.

Izvorni jezik
Engleski

Znanstvena područja
Šumarstvo

POVEZANOST RADA