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Genetic Structure Analysis Of Honeybee Populations Based On MicrosatellitesBodur, Cagri 01 September 2005 (has links) (PDF)
We analyzed the genetic structures of 11 honeybee (Apis mellifera) populations from
Tü / rkiye and one population from Cyprus using 9 microsatellite loci. Average gene
diversity levels were found to change between 0,542 and 0,681. Heterozygosity levels,
mean number of alleles per population, presence of diagnostic alleles and pairwise FST
values confirmed the mitochondrial DNA finding that Anatolian honeybees belong to north
Mediterranean (C) lineage. We detected a very high level of genetic divergence among
populations of Tü / rkiye and Cyprus based on pairwise FST levels (between 0,0 and 0,2). Out
of 66 population pairs 52 were found to be genetically different significantly. This level of
significant differentiation has not been reported yet in any other study conducted on
European and African honeybee populations. High allelic ranges, and high divergence
indicate that Anatolia is a genetic centre for C lineage honeybees.
We suggest that certain precautions should be taken to limit or forbid introduction and trade
of Italian and Carniolan honeybees to Tü / rkiye and Cyprus in order to preserve genetic
resources formed in these territories in thousands of years. Effectivity at previously isolated
regions in Artvin, Ardahan and Kirklareli was confirmed by the high genetic differentiation
in honeybees of these regions. Genetically differentiated Karaburun and Cyprus honeybees
v
and geographical positions of the regions make these zones first candidates as new isolation
areas.
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Wind And Wave Climate In Eastern Mediterranean BasinKislakci, Ahmet Umud 01 December 2008 (has links) (PDF)
The wind and wave (wind wave/swell wave) climate has an important role in the design and operation of coastal and marine structures, harbors and ports. The objective of this study is to identify the statistical characteristics of the winds, wind waves and swell waves in Eastern Mediterranean, and coastline of Tü / rkiye. For this purpose, the data of wind speed and direction, swell and wind wave height, period and direction for a certain duration with the six hours time intervals are obtained from ECMWF for the wind and wave climate computations. The data covers the area of eastern
Mediterranean region. In order to compute the wind and wave climate at any selected coastal location, a software is developed by Serhan Aldogan in his MSc thesis. For every location, the wind wave roses, significant height of wind wave and swell wave versus mean period of primary wind directions, extreme probability analysis and distribution, and log-linear cumulative probability analysis and distributions is presented, compared and discussed. By the help of the specifically developed software, it is possible and convenient to analyze the wind and wave climate using ECMWF data at any coordinate.
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