72 research outputs found

    Genetic diversity among some blackberry cultivars and their relationship with Boysenberry assessed by AFLP Markers

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    Blackberry cultivation has increased its popularity in Turkey due to the use of more blackberries in Turkish cuisine. To provide farmers with well adapted blackberry cultivars, some blackberry cultivars including a Boysenberry genotype from North America has been planted to various geographical regions in Turkey. In this study, genetic diversity among these blackberry cultivars and their genetic relationship with Boysenberry and raspberry were analyzed using AFLP markers. Our results indicated that Blackberry cultivars from North America had narrow genetic background which can pose a problem for future breeding programs. Blackberry genotypes selected from Bursa province of Turkey shared all AFLP markers with the cultivar Chester, which suggests that they were not unique genotypes. Although genetic similarity between Boysenberry and blackberry was low, Boysenberry wasgenetically related to common blackberry cultivars. On the other hand, AFLP analysis was unable to detect any genetic relationship between Boysenberry and common raspberry cultivars from North America in this study

    Genetic relationships among olive (Olea europaea L.) cultivars native to Croatia and Turkey

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    The aim of the study is to determine genetic diversity and relationships among olive cultivars native to Croatia and Turkey. A total of twenty olive (Olea europaea L.) cultivars including fourteen from Croatia and six common cultivars from Turkey were analyzed for genetic diversity and relationships by using six microsatellite markers (DCA05, DCA09, DCA18, GAPU71B, GAPU101, UDO43). The number of polymorphic alleles ranged from 2 (UDO43) to 5 (DCA09), with an average of 3.6  fragments per marker. UPGMA cluster analysis based on simple matching similarity matrix grouped cultivars into three main clusters. Two pairs of cultivars from Croatia ("Buža muška" and Levantinka"; "VLMD6" and "Drobnica") were thought to be different, although they produced identical SSR profi les. Cluster analysis points to some genetic relationships between Croatian and Turkish olive cultivars. The results also indicate effi ciency of SSR markers to evaluate genetic diversity in olive and identify misnamed or synonym individuals

    Determination by Landsat Satellite Imagery to Local Scales in Land and Pollution Monitoring: A Case of Buyuk Melen Watershed (Turkey)

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    Buyuk Melen Watershed provides drinking water from the Western Black Sea region to Istanbul province, which Buyuk and Kucuk Melen rivers, Asar, Ugur and Aksu rivers. Many settlement areas, fertilized agricultural lands, industrial plants and solid/liquid waste dumping areas have present in Melen watershed, causing substantial pollution problems. Melen watershed has been at a serious risk of pollution that a lot of settlement areas, agricultural lands, industrial facilities, and solid and liquid waste. In this study, LANDSAT satellite data was used to monitor the status of this area on the potential of the region studied. In the watershed change of 1987, 2001, 2006 and 2010 and also supported by satellite data. However, contaminants in the watershed discharges to the inner parts as shown from the satellite data have also been observed that the increase in pollution

    Origin of groundwater salinity and hydrogeochemical processes in a confined coastal karst aquifer: A cause of the Mandalia Bay (southeastern Aegean Sea coasts)

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    There are numerous springs and wells within the context of this research about the part of northern and northeastern in The Mandalia Bay which has an important role regarding tourism and agriculture in Turkey’s Southeastern Aegean coasts. There are an important springs in this basin, as the high discharge with values Ekinambari springs for 5385 l/s, Savrankoy springs for 4215 l/s, Avsar springs for the 1000 l/s, Sucikti springs (Karacahisar) to 400 l/s. The change of the total annual flow observations compatible with each other, an increase was observed in springs of Ekinambari, Savrankoy and Sucikti. The springs group of Ekinambari, is located from the sea about 10 km away in the alluvium. These springs were at the foot of the hill at various points at 46 m altitude, different flow rates and temperatures, allochthonous limestone flows from the broken system. The springs in the investigation area, which was measured in the high current values, of Savrankoy and Ekinambari springs monthly average current value of resources are examined, the difference between the current value is less than by months. In this spring waters of high salinity values (0,5 to 36,2‰) was determined. In this study were questioned as origin of ground water salinity from deep aquifer formations or from current sea water? In the case of salinity, in spring waters have occurred on deep towards the karstic levels of limestones from sea water is saturation. Examined the water was fed by a high level, the transition period is short and in aquifer in contact with shallow circulating water for a short time is. They could say that mixing different amounts of surface water were also. Given these results, the most important spring waters for the region (Savrankoy, Ekinambarı, etc.,) of ground water movement in karstic system pressure and decreasing/increasing rate of interventions performed in the presence of a seawater can be mentioned

    Origin of groundwater salinity and hydrogeochemical processes in a confined coastal karst aquifer: A cause of the Mandalia Bay (southeastern Aegean Sea coasts)

    No full text
    There are numerous springs and wells within the context of this research about the part of northern and northeastern in The Mandalia Bay which has an important role regarding tourism and agriculture in Turkey’s Southeastern Aegean coasts. There are an important springs in this basin, as the high discharge with values Ekinambari springs for 5385 l/s, Savrankoy springs for 4215 l/s, Avsar springs for the 1000 l/s, Sucikti springs (Karacahisar) to 400 l/s. The change of the total annual flow observations compatible with each other, an increase was observed in springs of Ekinambari, Savrankoy and Sucikti. The springs group of Ekinambari, is located from the sea about 10 km away in the alluvium. These springs were at the foot of the hill at various points at 46 m altitude, different flow rates and temperatures, allochthonous limestone flows from the broken system. The springs in the investigation area, which was measured in the high current values, of Savrankoy and Ekinambari springs monthly average current value of resources are examined, the difference between the current value is less than by months. In this spring waters of high salinity values (0,5 to 36,2‰) was determined. In this study were questioned as origin of ground water salinity from deep aquifer formations or from current sea water? In the case of salinity, in spring waters have occurred on deep towards the karstic levels of limestones from sea water is saturation. Examined the water was fed by a high level, the transition period is short and in aquifer in contact with shallow circulating water for a short time is. They could say that mixing different amounts of surface water were also. Given these results, the most important spring waters for the region (Savrankoy, Ekinambarı, etc.,) of ground water movement in karstic system pressure and decreasing/increasing rate of interventions performed in the presence of a seawater can be mentioned

    Assessment of inter- and intra-cultivar variations in olive using SSR markers

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    Olive (Olea europaea L.) production in the world has been made by using many cultivars, and the genetic uniformity of commercial cultivars is important for standard olive oil and table olive production. The genetic variation among and within commonly cultivated olive cultivars in Turkey was analyzed using SSR markers. A total of 135 leaf samples were collected from 11 commonly cultivated olive cultivars from 11 provinces in four geographical regions of Turkey. Seven SSR primer pairs generated 46 SSR markers, and the number of SSR markers per primer pair ranged from 4 (UDO-14) to 9 (GAPU-89) with an average of 6.57. This high level of SSR polymorphism suggests that olive production in Turkey has been made using genetically diverse olive cultivars and this high level of genetic variation is probably due to the location of Turkey in the center of the origin of olive. The UPGMA dendrogram, developed to visualize the estimated genetic relationships among the 135 samples, demonstrated that the clustering of olive cultivars was not based on geographical regions of cultivation. Presence of genetic variation was detected within a nationwide grown Turkish olive cultivar, called 'Gemlik'. Olive growers successfully discriminated olive cultivars with distinct morphological and pomological characters. However, there was some confusion about the identification of cultivars with similar phenotypic traits. To prevent misidentification of olive cultivars and to minimize intra-cultivar variation, certified propagation materials which were characterized using DNA based molecular markers should be used during the establishment of new olive orchards

    Variation in Flower Bud Differentiation and Progression of Floral Organs with Respect to Crop Load in Olive

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    The differentiation of olive floral buds during winter is strictly correlated with flowering in the spring and ultimately with fruit production in autumn and the determination of the time of flower bud induction is important for determining the possible causes of alternate bearing and for improving management practices to correct alternate bearing. The aim of this research was to study the time of flower bud differentiation and developmental steps in the ‘Gemlik’ olive cultivar in 2008 (off year) and 2009 (on year). The sequence of initiation of the floral organs in each flower bud was sepals, stamens, petals, and gynoecium. There was no visible difference between the time of differentiation and the developmental stage of the floral organs with respect to the ‘on’ and ‘off’ years during the study.</span
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