2012
DOI: 10.1093/aobpla/pls013
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Morphological versus molecular markers to describe variability in Juniperus excelsa subsp. excelsa (Cupressaceae)

Abstract: This is a large scale investigation of morphological diversity in Juniperus excelsa excelsa. It offers complementary results to those obtained for the same populations using molecular markers. These two approaches are complementary and should be considered together in order to obtain a comprehensive view of the variability of J. excelsa excelsa.

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Cited by 43 publications
(42 citation statements)
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References 48 publications
(75 reference statements)
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“…The fragmentation of habitats suitable for J. thurifera Romo and Boratyński 2005;Gastón González 2006;DeSoto et al 2010;Rhanem 2010;Olano et al 2012) has altered not only genetic structure, but also phenotypic variation of the species (Santos et al 1999; compare e.g. Douaihy et al 2011Douaihy et al , 2012. The pattern of morphological differentiation of compared populations can be interpreted as support for the hypothesis of migration of the species (or its ancestor) from the North and colonisation of the Iberian Peninsula and Africa during Miocene climate cooling (Barbero et al 1994;Jiménez et al 2003).…”
Section: Geographic Structure Of Morphological Differentiationmentioning
confidence: 94%
“…The fragmentation of habitats suitable for J. thurifera Romo and Boratyński 2005;Gastón González 2006;DeSoto et al 2010;Rhanem 2010;Olano et al 2012) has altered not only genetic structure, but also phenotypic variation of the species (Santos et al 1999; compare e.g. Douaihy et al 2011Douaihy et al , 2012. The pattern of morphological differentiation of compared populations can be interpreted as support for the hypothesis of migration of the species (or its ancestor) from the North and colonisation of the Iberian Peninsula and Africa during Miocene climate cooling (Barbero et al 1994;Jiménez et al 2003).…”
Section: Geographic Structure Of Morphological Differentiationmentioning
confidence: 94%
“…The conducted cluster analysis resulted in a hierarchical tree, where the unweighted pair-group method with arithmetic mean (UPGMA) was used to join the clusters, and the Euclidean distance to define the distance between the studied objects. The K-means method was applied to detect phenotypic structure and define the number of K-groups that best explained the morphological variation of populations (e.g Douaihy et al 2012;Boratyński et al 2013;Sobierajska et al 2016). In addition, the biogeographical structure of the studied populations was further ; maximum leaf blade width (MLW); leaf blade length, measured from the leaf base to the point of maximum leaf width (PMLW); leaf blade width at 50% of leaf blade length (LW1); leaf blade width at 90% of leaf blade length (LW2); angle closed by the main leaf vein and the line defined by the leaf blade base and a point on the leaf margin, at 10% of leaf blade length (LA1); angle closed by the main leaf vein and the line defined by leaf blade base and a point on the leaf margin, at 25% of leaf blade length (LA2); petiole length (PL).…”
Section: Statistical Analyses -Statističke Analizementioning
confidence: 99%
“…Although in comparison with molecular markers their significance has recently been on the decrease, morphological traits are still frequently applied [25,[31][32][33]. This is supported by an increasing amount of research combining methods of morphometric and molecular analysis [34][35][36]. So far only a few studies have been conducted that pertain to the morphology of fruits and leaves of the service tree [37][38][39][40][41].…”
Section: Introductionmentioning
confidence: 99%