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

AutorRobson, T. M.; Garzón, M. B.; Alía Miranda, Ricardo; Egido, D. B.; Bogdan, S.; Borovics, A.; Božič, Gregor; Brendel, O.; Clark, Jo; De Vries, S. M. G.; Delehan, I. I.; Ducousso, A.; Fady, Bruno; Fennessy, J.; Forstreuter, M.; Frýdl, J.; Geburek, T.; Gömöry, D.; Hauke-Kowalska, M.; Huber, Gerhard; Ibáñez, Juan Ignacio; Ioniţă, L.; Ivanković, Mladen; Hansen, John K.; Kóczán-Horváth, A.; Kraigher, Hojka; Lee, Steve; Liesebach, M.; Mátyás, C.; Mertens, Patrick; Muhs, H. J.; Novotný, P.; Parnuţa, G.; Paule, L.; Picardo, A.; Rasztovits, E.; Rogge, M.; Stener, L. G.; Sułkowska, M.; Urban, O.; Von Wuehlisch, G.; Vendramin, G. G.; Vettori, C.; Wesoły, W.
Fecha de publicación2018
EditorNature Publishing Group
CitaciónScientific Data  5: e180149 (2018)
ResumenWe 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.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.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.
URIhttp://hdl.handle.net/10261/290571
DOI10.1038/sdata.2018.149
E-ISSN2052-4463
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