Browsing by Author "Denizhan, E."

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Eriophyoid Mites (Acari: Eriophyoidea) on Fruit Trees in Yalova, Turkey
(Centenary University, 2018) Denizhan, E.
This study was conducted to determined Eriophyoid (Prostigmata: Acari) mites on fruit trees of Yalova (Çınarcık, Armutlu, Termal, Esenköy, Çiftlikköy) in 2016-2017 years. These specieses are Aceria avanensis (Bagdasarian 1970), Colomerus vitis (Pagenstecher 1857), Aculus schlechtendali (Nalepa 1890), A. fockeui (Nalepa and Trouessart 1891), Calepitrimerus baileyi (Keifer 1938), Epitrimerus pyri (Nalepa 1891) Phytoptus avellana (Nalepa 1889) and Aceria diospyri (Keifer 1944). A. diospyri is new record for Turkish Acaro fauna. © 2018, Centenary University. All rights reserved.
Eriophyoid Studies in Turkey: Review and Perspectives
(Walter de Gruyter GmbH, 2013) Denizhan, E.; Szydło, W.; Skoracka, A.
Although the geographical location and botanical history of Turkey make the country a perfect place for a potentially rich diversity of eriophyoid mites, little is known about the Turkish eriophyoid fauna. The current paper is a brief review of the existing records of eriophyoid mites found so far in Turkey, with additional information on 6 grass-associated eriophyoid species recorded recently. The 134 eriophyoid species collected in Turkey come from only ca. 1.2% of all Turkish plant species. The role of collecting ecological and molecular data and studying economically significant eriophyoid mites species in this area is particularly stressed.
Exceptionally High Levels of Genetic Diversity in Wheat Curl Mite (Acari: Eriophyidae) Populations From Turkey
(Oxford Univ Press inc, 2015) Szydlo, W.; Hein, G.; Denizhan, E.; Skoracka, A.
Recent research on the wheat curl mite species complex has revealed extensive genetic diversity that has distinguished several genetic lineages infesting bread wheat (Triticum aestivum L.) and other cereals worldwide. Turkey is the historical region of wheat and barley (Hordeum vulgare L.) domestication and diversification. The close relationship between these grasses and the wheat curl mite provoked the question of the genetic diversity of the wheat curl mite in this region. The scope of the study was to investigate genetic differentiation within the wheat curl mite species complex on grasses in Turkey. Twenty-one wheat curl mite populations from 16 grass species from nine genera (Agropyron sp., Aegilops sp., Bromus sp., Elymus sp., Eremopyrum sp., Hordeum sp., Poa sp., Secale sp., and Triticum sp.) were sampled in eastern and southeastern Turkey for genetic analyses. Two molecular markers were amplified: the cytochrome oxidase subunit I coding region of mtDNA (COI) and the D2 region of 28S rDNA. Phylogenetic analyses revealed high genetic variation of the wheat curl mite in Turkey, primarily on Bromus and Hordeum spp., and exceptionally high diversity of populations associated with bread wheat. Three wheat-infesting wheat curl mite lineages known to occur on other continents of the world, including North and South America, Australia and Europe, were found in Turkey, and at least two new genetic lineages were discovered. These regions of Turkey exhibit rich wheat curl mite diversity on native grass species. The possible implications for further studies on the wheat curl mite are discussed.
Modeling Relative Risk Assesment for Infected Plants by Eriophyoid Mites (Acari, Prostigmata) Using Poisson Log Linear Regression Model
(Centenary University, 2018) Yeşilova, A.; Denizhan, E.; Çobanoğlu, S.
In Poisson regression, the dependent variable of the mite population relative risk assessment can be estimated as based on countable data. Due to disappearing data and numerous uncountable values of the mite population it became difficult to evaluate the risk factor by linear regression methods. The assessment of variable features of mites depending on conditions is very suitable for Poisson regression modeling system. In the this study, the occurrence of rare events such as the occurrence ratio of infected plants was defined by eriophyid mites on two wheat varieties and four different localities. The study was constructed by two way possibility table depending on plant varieties (Triticum aestivum L. and Secale cereale L. (Poaceae) with four locations (Muradiye, Ahlat, Erciş, Doğu Beyazıt and Iğdır). The reference parameters were Triticum aestivum for varieties, and Muradiye for location, respectively. The risk assessment of infected plants for Secale cereale is 1.245 times higher as compared to Triticum aestivum and this difference was found statistically significant (p<0.05). The risk of infected plants for Iğdır location is 1.101 times higher as compared to Muradiye location (p>0.05). In the Poisson log-linear regression, the dependent variable is a risk ratio or a relative risk can be estimated as well as countable data. Thus, Poisson log-linear regression model is a very effective method for analysis of two-way contingency table. Two-way contingency table is created considering the eriophyid mite infection ratio depending on location and varieties, respectively. © 2018, Centenary University. All rights reserved.