Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Katharina J. Liepe"'
Autor:
Desanka Lazic, Cornelia Geßner, Katharina J. Liepe, Isabelle Lesur-Kupin, Malte Mader, Céline Blanc-Jolivet, Dušan Gömöry, Mirko Liesebach, Santiago C. González-Martínez, Matthias Fladung, Bernd Degen, Niels A. Müller
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Local adaptation is key for ecotypic differentiation and species evolution. Understanding underlying genomic patterns can allow the prediction of future maladaptation and ecosystem stability. Here, we report the whole-genome resequencing of
Externí odkaz:
https://doaj.org/article/00bf0348f72140108995acd4e808cf00
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-7 (2024)
Abstract We present a database of Norway spruce phenotypic traits measured over a period of 51 years in provenance trials planted across western Germany. These trials are part of the ‘Inventory Provenance Test 1964/68 with Norway spruce’ (IPTNS)
Externí odkaz:
https://doaj.org/article/826938e70c7e40ea880d9d422a95d183
Autor:
Jonathan M. Kormann, Ernst van der Maaten, Mirko Liesebach, Katharina J. Liepe, Marieke van der Maaten-Theunissen
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Information about the resistance and adaptive potential of tree species and provenances is needed to select suitable planting material in times of rapidly changing climate conditions. In this study, we evaluate growth responses to climatic fluctuatio
Externí odkaz:
https://doaj.org/article/4d5155f1a88b4950bebfe3485c71c2aa
Publikováno v:
Forest Ecology and Management. 531:120803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f40f0da79f6a5cbb37b655be69f3aeca
https://doi.org/10.1016/j.foreco.2023.120803
https://doi.org/10.1016/j.foreco.2023.120803
Publikováno v:
Forest Ecology and Management. 353:21-29
Productivity of forest tree plantations can be maximized by matching genetically adapted planting stock to environments where they perform best. We used multivariate regression tree (MRT) analysis with environmental predictors to quantify and charact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52e4dd4e96ec0ba78a55c7889a8feec0
https://doi.org/10.1016/j.foreco.2015.05.027
https://doi.org/10.1016/j.foreco.2015.05.027
Autor:
Tongli Wang, Katie E. Lotterhos, Jason A. Holliday, Loren H. Rieseberg, Katharina J. Liepe, Sam Yeaman, Laura K. Gray, Pia Smets, Michael C. Whitlock, Kathryn A. Hodgins, Kristin A. Nurkowski, Jon C. Degner, Simon Nadeau, Haktan Suren, Sally N. Aitken, Andreas Hamann
Publikováno v:
Science. 353:1431-1433
When confronted with an adaptive challenge, such as extreme temperature, closely related species frequently evolve similar phenotypes using the same genes. Although such repeated evolution is thought to be less likely in highly polygenic traits and d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c6b5f6295438b936838b61668d274ad
https://doi.org/10.1126/science.aaf7812
https://doi.org/10.1126/science.aaf7812
Publikováno v:
Evolutionary Applications
We investigated adaptation to climate in populations of two widespread tree species across a range of contrasting environments in western Canada. In a series of common garden experiments, bud phenology, cold hardiness, and seedling growth traits were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f734567a4bc8b9cd135bfb9f0739a286
https://pubmed.ncbi.nlm.nih.gov/26834833
https://pubmed.ncbi.nlm.nih.gov/26834833