Access the full text.
Sign up today, get DeepDyve free for 14 days.
F. Ayala, J. Powell, M. Tracey, C. Mourão, S. Pérez-Salas (1972)
Enzyme variability in the Drosophila willistoni group. IV. Genic variation in natural populations of Drosophila willistoni.Genetics, 70 1
(1993)
roe deer (Capreolus capreolus L.) of Central Europe. Génétique Sélection Évolution
Ma-Li Wang, A. Schreiber (2001)
The impact of habitat fragmentation and social structure on the population genetics of roe deer (Capreolus capreolus L.) in Central EuropeHeredity, 86
G. Hartl, F. Reimoser, R. Willing, J. Köller (1991)
Genetic variability and differentiation in roe deer (Capreolus capreolus L) of Central EuropeGenetics, Selection, Evolution : GSE, 23
B. Weir, C. Cockerham (1984)
ESTIMATING F‐STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTUREEvolution, 38
J. Wehner, H. Müller, H. Kierdorf (1991)
Untersuchungen zur genetischen Situation ausgewählter rheinischer Rehwild-Populationen unter besonderer Berücksichtigung isolationsbedingter VeränderungenZeitschrift für Jagdwissenschaft, 37
(1978)
Spatial autocorrelation in biology
M. Nei (1978)
Estimation of average heterozygosity and genetic distance from a small number of individuals.Genetics, 89 3
G. Markov, T. Chassovnikarova (1998)
GENETIC VARIABILITY OF THE ROE DEER (CAPREOLUS CAPREOLUS L.) IN BULGARIA :RFLP ANALYSIS OF THE MTDNA, 51
(2001)
[ Zoogeographical and population differentiation on the roe deer ( Capreolus capreolus L . ) from Yugoslavia ]
(1991)
Investigation of the genetic situation of select Rhineland deer populations with special consideration of changes due to isolation
G. Hartl, F. Reimoser (1988)
Biochemical variation in roe deer (Capreolus capreolus L.): are r-strategists among deer genetically less variable than K-strategists?Heredity, 60
(1997)
Microsatellites reveal high population viscosity
J. Archie (1985)
STATISTICAL ANALYSIS OF HETEROZYGOSITY DATA: INDEPENDENT SAMPLE COMPARISONSEvolution, 39
N. Ryman, R. Baccus, C. Reuterwall, Michael Smith (1981)
Effective Population Size, Generation Interval, and Potential Loss of Genetic Variability in Game Species under Different Hunting RegimesOikos, 36
(2010)
2001.[A program for hunting development in Serbia 2001–2010
(2003)
Ecogeographic constraints in current game management of the roe deer ( Capreolus capreolus L . ) in Serbia . XXVI
N. Ryman, G. Beckman, G. Bruun-Petersen, C. Reuterwall (2009)
Variability of red cell enzymes and genetic implications of management policies in Scandinavian moose (Alces alces)Hereditas, 85
(1998)
Genetics of European roe deer
M. Chapuisat, J. Goudet, L. Keller (1997)
MICROSATELLITES REVEAL HIGH POPULATION VISCOSITY AND LIMITED DISPERSAL IN THE ANT FORMICA PARALUGUBRISEvolution, 51
(1991)
r-strategists among deer genetically less variable than K-strategists? Heredity
A. Hewison (2009)
Isozyme variation in roe deer in relation to their population history in BritainJournal of Zoology, 235
P. Pamilo (2008)
Effect of inbreeding on genetic relatedness.Hereditas, 103 2
G. Wilkinson, G. McCracken (1985)
ON ESTIMATING RELATEDNESS USING GENETIC MARKERSEvolution, 39
(1989)
SAAP
J. Goudet (2001)
FSTAT, a program to estimate and test gene diversities and fixation indices (version 2.9.3). Updated from Goudet (1995)
R. Baccus, N. Ryman, Michael Smith, C. Reuterwall, D. Cameron (1983)
Genetic Variability and Differentiation of Large Grazing MammalsJournal of Mammalogy, 64
F. González-Candelas, J. Crnobrnja, M. Kalezić, A. Moya (1992)
Gene flow rates in Yugoslavian populations of the smooth newt Triturus vulgarisJournal of Evolutionary Biology, 5
D. Swofford, R. Selander (1981)
BIOSYS-1: a FORTRAN program for the comprehensive analysis of electrophoretic data in population genetics and systematicsJournal of Heredity, 72
F. Kurt, G. Hartl, F. Völk (1993)
Breeding strategies and genetic variation in European roe deer Capreolus capreolus populationsActa Theriologica, 38
S. Wright (1978)
Variability within and among natural populations
R. Sokal, N. Oden (1978)
Spatial autocorrelation in biology: 2. Some biological implications and four applications of evolutionary and ecological interestBiological Journal of The Linnean Society, 10
A. Schreiber, Peter Fakler (1996)
Allozyme Heterozygosity in Two Isolated Populations of Roe Deer (Capreolus Capreolus) in the NetherlandsNetherlands Journal of Zoology, 47
A. Schreiber, L. Kolter, W. Kaumanns (1993)
Conserving patterns of genetic diversity in endangered mammals by captive breedingActa Theriologica, 38
R. Sokal, N. Oden (1978)
Spatial autocorrelation in biology: 1. MethodologyBiological Journal of The Linnean Society, 10
R. Lorenzini, M. Patalano, L. Mattioli, M. Rustioni (1996)
Allozyme and craniometric variability in the Roe Deer (Capreolus capreolus L.) from Central Italy, 61
C. Simon, J. Archie (1985)
AN EMPIRICAL DEMONSTRATION OF THE LABILITY OF HETEROZYGOSITY ESTIMATESEvolution, 39
(1986)
A comaprative analysis of electrophoretic spectra of blood and muscle-tissue proteins of European (Capreolus capreolus L.) and Siberian (Capreolus pyrargus Pall.) roe deer
(1995)
Scandinavian University Press, Oslo: 71–90
(1998)
scrofa) of Southeastern and Central Europe. Zeitschrift für Säugtierkunde
W. D. Hamilton (1971)
Man and beast: Comparative social behavior
(1971)
Selection of selfish and altruistic behaviour in some extreme models
(1996)
Allozyme and craniometric variability
J. Corliss, P. Sneath, R. Sokal (1973)
Numerical Taxonomy: The Principles and Practice of Numerical Classification
(1993)
Genetic variability of roe deer
(2004)
PHYLIP (Phylogeny Inference Package) version 3.6
H. Levene (1949)
On a Matching Problem Arising in GeneticsAnnals of Mathematical Statistics, 20
G. Hartl, A. Rubin, R. Willing, G. Markov, S. Finďo, G. Land (1993)
Allozyme diversity within and among populations of three ungulate species (Cervus elaphus, Capreolus capreolus, Sus scrofa) of southeastern and Central Europe, 58
(1994)
Genetic divergence in the roe deer ( Capreolus capreolus L . ) in Yugoslavia
(1978)
Evolution and genetics of populations
(1995)
Populationgenetishe Untersuchungen an der Wildtiern für die Vorberitung der Genkonservation
R. Lorenzini, Lucia Burrini, R. Stella (1997)
Biochemical genetic differentiation in some roe deer populations of Tuscany, central ItalyItalian Journal of Zoology, 64
(1981)
Biosys 1
P. Pamilo (1984)
Genotypic correlation and regression in social groups: multiple alleles, multiple loci and subdivided populations.Genetics, 107 2
(1983)
Genetic variability and
E. Randi, P. Alves, J. Carranza, S. Milošević-Zlatanović, A. Sfougaris, N. Mucci (2004)
Phylogeography of roe deer (Capreolus capreolus) populations: the effects of historical genetic subdivisions and recent nonequilibrium dynamicsMolecular Ecology, 13
R. Lorenzini, M. Patalano, M. Apollonio, Vito Mazzarone (1993)
Genetic variability of roe deer Capreolus capreolus in Italy: electrophoretic survey on populations of different originActa Theriologica, 38
J. Wiehler, R. Tiedemann (1998)
Phylogeography of the European roe deer Capreolus capreolus as revealed by sequence analysis of the mitochondrial Control RegionActa Theriologica, 43
G. B. Hartl, M. A. J. Hewison, M. Apollonio, F. Kurt, J. Wiehler (1998)
The European roe deer: The biology of success
(1998)
NTSYS pc 2.02, user guide
Michael Smith, William Branan, R. Marchinton, P. Johns, M. Wooten (1986)
Genetic and morphologic comparisons of red brocket, brown brocket, and white-tailed deerJournal of Mammalogy, 67
(1997)
Roe deer (Capreolus capreolus L.) from Central Italy. Zeitschrift für Säugetierkunde
(1996)
Comparative population - genetical studies in four deer populations in Hungary
(1972)
Enzyme variability
D. Queller, K. Goodnight (1989)
ESTIMATING RELATEDNESS USING GENETIC MARKERSEvolution, 43
(1997)
Genetic variability of roe deer populations ( Capreolus capreolus L . ) from northeast Yugoslavia
The present study investigates the genetic structure of 12 roe deerCapreolus capreolus Linnaeus, 1758 population samples from Serbia, by screening a total of 334 individuals. We examined whether genetic differentiation exists in local populations in Serbia, and addressed the question whether management policies may affect genetic structure. The populations were analysed by multilocus protein electrophoresis, with 33 protein loci examined. Screening of 20 enzymes and one group of general proteins revealed polymorphism at the following 12 loci: Sdh, Mdh-1, Me-1, Idh-2, 6-Pgd-1,αGpd, Ak, Pgm-1, Pgm-2, Ca, Mpi andGpi. Among samples, the proportion of polymorphic loci varied between 3–15.2% (mean 11.9%), while the average gene diversity was in the range of 1.1–4.2%. The overall genetic differentiation was low (θ = 0.03). The comparison of two regional population groups (northern-southern, separated by the Danube River) showed an absence of genetic differentiation between regions. Gene flow was estimated at 8.96 migrants per generation, and was higher in the lowland than in the highland group. Three loci (Ca, 6-Pgd andGpd-1) showed clinal variation along a geographical gradient. Additional five alleles of four loci (Ak, Pgm-1, Gpi, 6-Pgd) showed significant spatial autocorrelation. Genetic distances were small (D = 0–0.004). Northern and southern populations clustered separately. For at least three populations game management practices provide evidence for outlying genetic parameters. The observed heterogeneity in the inbreeding level was deemed more under the influence of non-random mating strengthened by game management, than by overall selective pressure.
Acta Theriologica – Springer Journals
Published: Nov 12, 2010
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.