2018
DOI: 10.3390/f9120752
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High Morphological Differentiation in Crown Architecture Contrasts with Low Population Genetic Structure of German Norway Spruce Stands

Abstract: High elevation sites in the low mountain ranges in Germany are naturally covered by Norway spruce (Picea abies (Karst.) L.) stands. Historically, large scale anthropogenic range expansion starting in the mid to late 18th century had a huge impact on the forest composition throughout Germany. Utilisation and exploitation often led to artificial regeneration, mostly carried out using seeds from allochthonous provenances. Usually, autochthonous (natural) high elevation Norway spruce trees have narrow crown phenot… Show more

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Cited by 13 publications
(17 citation statements)
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References 109 publications
(160 reference statements)
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“…In our study, the estimated parameters of mean heterozygosity (Ho = 0.601, He = 0.705) are comparable to previously published studies [34,[66][67][68][69][70]; similarly, in our case, these are accompanied by a low level of genetic differentiation among populations. Similar values were observed despite the variety of experimental and sampling design, targeting various features and traits of interest.…”
Section: Discussionsupporting
confidence: 91%
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“…In our study, the estimated parameters of mean heterozygosity (Ho = 0.601, He = 0.705) are comparable to previously published studies [34,[66][67][68][69][70]; similarly, in our case, these are accompanied by a low level of genetic differentiation among populations. Similar values were observed despite the variety of experimental and sampling design, targeting various features and traits of interest.…”
Section: Discussionsupporting
confidence: 91%
“…Similar values were observed despite the variety of experimental and sampling design, targeting various features and traits of interest. Our mean value of expected heterozygosity (H e = 0.705) is similar to that in German (H e = 0.74) [34] and Lithuanian populations (H e = 0.71) [66]. Higher mean values were determined in Serbia (H e = 0.89) [69], Tyrol (H e = 0.87) [67], Slovenia (H e = 0.92) [44], and the Czech Republic (0.86) [68].…”
Section: Discussionsupporting
confidence: 82%
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