Kayseri Province Research Articles

DGAG: A Novel Approach That Detects Green Areas With Geolocation From Large‐Scale Satellite Imaging Instance Segmentation and GIS Application

ABSTRACTAdvancements in space exploration and computing have accelerated progress in remote sensing studies, where imaging satellites capture extensive datasets globally, particularly in identifying green areas on agricultural lands essential for monitoring natural resources, promoting sustainable agriculture, and mitigating climate change. Large‐volume satellite images from 2020 were obtained from https://tile.kayseri.bel.tr/tilecache/Cache/2020UYDU3857/z/x/y.jpeg. The images are stored on the server address of Kayseri Metropolitan Municipality. Traditional techniques struggle with classifying big data from these satellite views, necessitating innovative approaches like DGAG (Detect Green Areas with Geolocation), a novel method that combines interdisciplinary techniques to detect and geographically delineate green areas on agricultural lands globally. DGAG utilizes map‐based open‐source software to convert large‐scale satellite views into processable images with spatial information, employing segmentation‐based deep learning techniques such as You Only Look Once version 5 (YOLOv5) and Mask Region‐based Convolutional Neural Network (Mask R‐CNN) to extract green areas and determine pixel boundaries. The pixel borders are then transformed into spatial polygon data, providing hectare‐level spatial information. Testing on actual satellite views of Kayseri province yielded promising results, with DGAG YOLOv5 and Mask R‐CNN achieving F1 scores of 0.917 and 0.922, respectively. Notably, DGAG Mask R‐CNN outperformed YOLOv5 by detecting 834626.42 square meters more green area. In terms of runtime, DGAG Mask R‐CNN detected green areas in approximately 0.031 s, while DGAG YOLOv5 operated roughly twice as fast, detecting green areas in about 0.015 s.

A Study on the Relationship Between Post-Traumatic Stress Disorder, Depression and Anxiety Symptoms and the Quality of Life of Syrian Refugees: Case Study for the Province of Kayseri.

The aim of this study is to investigate the factors related to post-traumatic stress disorder (PTSD), depression and anxiety mental disorders, as well as the quality of life of Syrian refugees and to examine the relationships between mental health disorders and the quality of life of Syrian refugees. Data were collected via face-to-face surveys with 613 adult Syrian refugees in an urban setting. Brislin's methodology was used for translating scale items, involving initial translation, back-translation and review by another professional translator. The study utilised the PTSD Scale, Beck Anxiety Scale, Depression Scale and Quality of Life Scale (QOLS). Descriptive, correlational and multivariate regression analysis were applied. Findings of correlational analysis indicate that PTSD levels among Syrian refugees are significantly related to gender, income level and employment. Depression levels are significantly associated with trauma history, healthcare service use, marital status and employment. Anxiety levels are significantly related to gender, trauma history, healthcare service use, employment and income. According to the findings of the regression analyses, the relationships between depression, quality of life and PTSD are complex. Meanwhile, anxiety decreases quality of life and increases PTSD. Quality of life moderates the relationship between depression and PTSD, as well as between anxiety and PTSD. The study concludes that the mental disorder levels of Syrian refugees, in terms of PTSD, depression and anxiety, are linked to their socio-demographic characteristics. These results highlight the importance of social, economic and cultural factors, healthcare and social services and the socio-demographic characteristics of the region where refugees have settled after displacement.

Predicting and analysis of urban wastewater quantity to be treated by using Neural Network and ODE model: A case study

Wastewater data, including Population of the Municipality Served by the Wastewater Treatment Plants (WWTPs), Capacity, Number of WWTPs, Amount of Daily Wastewater Discharged per Person and Wastewater Treated in WWTPs (y(t)) obtained from Turkish Statistical Institute (TUIK) for Kayseri province for 2003-2020 were mathematically modelled and analysed with Artificial Neural Network (ANN) and Differential equations. Firstly, the data were augmented through ARIMA since TUIK data numbers are insufficient to ANN training and later the data were normalized. The augmented normalized data was trained with ANN twice, thus the effect of other variables on the y(t) variable was shown and mathematical ANN activation functions in the form of a tangent hyperbolic function was proposed for this variable. Then, arbitrary parameters used for a linear system consisting of differential equations representing the five variables mentioned above were estimated using normalized original data and thus the ODE (ordinary differential equation) model was proposed. Two ANN models and ODE model were evaluated on normalized real TUIK data and the performances of these three models were compared. Among these mathematical models, the model that gave the minimum MSE (mean squared error) has been determined as the ODE model. Finally, future predictions were made for the y(t) variable with the ODE model.

May changes in nutritional habits be an indicator of fear during the COVID-19 pandemic period?

Purpose The aim of this study was to determine the effect of anxiety levels of adults on their nutritional status during the COVID-19 pandemic in Kayseri province, Turkey. Design/methodology/approach A total of 898 adults consisting of 479 individuals with and 419 individuals without a positive diagnosis of COVID-19 were included in the study. The individuals’ socio-demographic characteristics, health status, nutritional habits, anthropometric measurement and Fear of COVID-19 Scale (FCV-19S) information were obtained online. Findings The mean FCV-19S score of the participants was 17.49 ± 6.02. FCV-19S score was higher in those who reduced their consumption of protein sources compared to those who did not change and those who increased (p < 0.001). It was determined that FCV-19S scores of participants who increased their consumption of fruit/vegetables, sweets and sugar were higher than those who did not change their consumption of such items (p = 0.007). The FCV-19S scores of individuals who did not change their onion/garlic and snack consumption were lower than those who decreased or increased the consumption of these nutrients (p = 0.001, p = 0.002). Practical implications Education programs can be organized especially targeting vulnerable populations, such as women, individuals with chronic diseases and those experiencing COVID-19 symptoms. These programs can be conducted by dietitians and psychologists in collaboration, focusing on promoting healthy eating habits and coping strategies during stressful times. Originality/value It was determined that those who changed their nutrition habits during the COVID-19 pandemic had higher fear levels than those who did not. Individuals with high fear paid more attention to healthy nutrition than individuals without fear.

Performance Analysis For Yamula Downstream Gravity And Pump Irrigation Association

This study was conducted for performance assessment of the Yamula Downstream Gravity and Pump Irrigation Association, operating in the province of Kayseri, covering 2018-2022. The association's performance was evaluated using some performance indicators recommended by the International Program for Technology and Research in Irrigation and Drainage (IPTRID). Performance evaluation included indicators such as the amount of irrigation water distributed per unit irrigated area, irrigation ratio, sustainable irrigation area ratio, irrigation network density, water supply ratio, irrigation fee collection ratio, and irrigation network personnel density. The amount of irrigation water distributed per unit irrigated area ranged from 3957.7 m3/ha to 5746.6 m3/ha, irrigation ratios ranged from 58.5% to 95.6%, sustainable irrigation area ratios ranged from 1.05 to 1.71, irrigation network densities ranged from 20.0 to 32.6 ha/km, water supply ratios ranged from 0.64 to 1.02, and irrigation fee collection ratios ranged from 80% to 84%. The irrigation network personnel density was determined to be 10.3 km/personnel, as there was no change in the number of employees. With the increasing demand for water due to recent droughts, efficient use of every drop of water is inevitable, particularly in the agricultural sector, which is the largest water user. Therefore, performance analysis in irrigation associations, which are the planners and distributors of water, plays a key role in sustainability.

DETERMINATION OF THE HUBRIS SYNDROME LEVELS OF AMATEUR FOOTBALL PLAYERS – SAMPLE OF KAYSERİ PROVINCE, TURKEY

The aim of this research is to examine the hubris syndrome levels of individuals playing amateur football in Kayseri in terms of various variables. A total of 298 randomly selected individuals who were athletes in amateur football clubs in Kayseri province participated in the study voluntarily. In the study, the “Hubris Syndrome in Sport Scale” developed by Tutar and Nacar (2022) and the personal information form prepared by the researchers were used as data collection tools. The personal information form consists of 4 questions asked to obtain information about the age, league level, football playing history (years) and position of the participants. Statistical analyses of the data obtained were made with the SPSS 27.0 package program. Personal information about the candidates, inventory total scores and factor scores were given by determining frequency (f) and percentage (%) values. One-way analysis of variance (LSD) test statistics was used to compare the scores obtained from the scales. As a result, while a significant difference was found in the variables of soccer playing history (years) and position played (p<0.05), no significant difference was found in the variables of age and league level played (p>0.05). When the general hubris syndrome levels of the football players were examined, it was determined that the sub-dimension scores of self-importance and holding oneself superior to others were below the average, while the self-confidence sub-dimension scores were above the average.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0777/a.php" alt="Hit counter" /></p>

Research on User Satisfaction in Kayseri Province Primary Health Care Buildings

The design criteria determining the spatial quality of family health centres, one of the primary health care institutions where diagnostic, therapeutic and rehabilitation services and preventive health services are provided together, were determined as the subject of the study. Within the scope of the field study, the location, number and distribution of family health centers, where primary health care services are provided in the central districts of Kayseri city, were investigated. The selected family health centers were examined according to the evaluation criteria. A survey was conducted to understand how family health centers are perceived by patients, one of their users, and to evaluate their satisfaction rates regarding space quality. It was determined that these small-scale health centers are produced as structures that have no relation to the context since most of them are derived from typical projects. It was concluded that health buildings, where only physicality is considered while the psychological and social needs of the users are ignored, are inadequate in terms of healing spaces. Based on all the findings obtained as a result of the study, suggestions were made on the design criteria for family health center buildings, which concern the whole society, to become qualified buildings that contribute to healing in the future.

Robotic Coding Perceptions of Middle School Students

This study aims to determine middle school students' perceptions of robotic coding. For this purpose, the case study design of the qualitative research method was used in the research. The research was carried out with 76 middle school students studying in a district of Kayseri province. A questionnaire consisting of nine open-ended questions was used as a data collection tool. The questions were asked to the participants in the online environment. The data were analyzed by content analysis, which is one of the qualitative data analysis types. In this direction, codes and categories related to the data were determined. The findings of the research are explained through direct quotations. The research concluded that the students associated the concept of the robot with technology, the students had never encountered a robot before, they wanted to design a robot, the concept of coding was expressed as giving commands, and they wanted to receive coding training. Based on these results, we recommended expanding robotic coding training.

A Novel Procedure for the AHP Method for the Site Selection of Solar PV Farms

This study proposes a novel approach to enhance the analytic hierarchy process (AHP) for the selection of suitable sites for solar photovoltaic (PV) farms. This approach is particularly beneficial when it is possible to establish a predefined objective relation in the final weights of the AHP method. The methodology focuses on achieving this predefined relation introducing a systematic revision of the constants of related constraints. In this study, the costs of constructing a unit transmission line and road in the Kayseri Province are objectively related, and the initial constant matrix of the AHP method is iteratively revised until the relation of the final weights converges to the predefined one. The suitability of solar PV farm locations is classified into five classes, revealing approximately 28% (40-100% of suitability) of the province as favorably suitable and designating about 67% as restricted zones. The findings reveal notable distinctions between the revised weights and those derived from the conventional AHP method. The disparity in weights for various constraints varies from 13.5% to 7.2%. Consequently, the alterations in the area of suitability regions range from 3.4% to 50%. The revision of AHP weights results in a reduction in higher-suitability areas, coupled with a significant expansion in the region exhibiting lower suitability. Notably, the extent of change in the suitability map increases when the difference in ratios between two criteria obtained from the AHP and the predefined objective relation is high. The proposed method demonstrates its applicability in regions like Kayseri where an objective relation between criteria can be established. Given the inherent subjectivity of the AHP method, the proposed procedure becomes essential to attain more objective weights. Since the methodology objectively adjusts weights based on known ratios, it increases the accuracy and reliability of site selection studies.

The level of knowledge and awareness of teachers in the province of Kayseri for type 1 diabetes mellitus, the adequacy of schools in diabetes mellitus management

Type 1 Diabetes Mellitus (T1DM) is an important chronic health problem of childhood. Cooperation of parents and teachers is necessary in diabetes management. In our cross-sectional study, a 3-part questionnaire evaluating the educational status of teachers for T1DM was used. Questions consisting of 4 factors were asked about the level of knowledge, awareness, living with diabetes, and school life with diabetes. In scoring the answers given to the questions in the first part, each correct answer was recorded as +1 point, each incorrect answer as -1 point, and ‘I have no idea’ as 0 points. The total score ranged from -21 to +21 points. Those who scored 11 points or more were considered to have a sufficient level of knowledge and awareness about T1DM. The validity of the first part of thescale, KMO and Bartlett’s test score, was found to be 0.94. The reliability of the first part of the scale, Cronbach’s alpha value, was 0.91. The mean score of the first part of the scale was 9.3±5.1, and range was between -3 to 19 points. In our study, the number of those who scored 11 points or more in the questions measuring the level of knowledge and awareness about diabetes were 268 (46.4%). We observed that the level of knowledge and awareness about diabetes in schools in our province is not sufficient.

Investigation Of the Reasons Why Individuals Who Trek Participate in The Activity (The Kayseri Province Example)

ABSTRACTThe aim of this study was to determine the reasons of individuals participating in nature walks in Kayseri province for participating in such a physical activity. This researches who participate in nature walks in Kayseri province, consists of 347 people with an average age of 30,3±11,9years old. These participants consisted of 133 female and 214 male individuals. This study was used SPSS 22 program for data analysis. To sample size determination was used to G*Power (3.1.9.4). The scale created by Ekici et al. (2012) consisting of 5 sub-dimensions (Social, Healthy, Education, Time, Observation) and likert-type 24 questions. In the research, For the evaluation of the data obtained through the scale application, on the other hand, descriptor statistical methods such as frequencies (f), percentages (%), averages (x̄), and standard deviations (SD) were utilized. It was accepted that the data do not show normal distribution and it was decided to use nonparametric tests Which is comparing in pairwise Man-Whitney U and more than two parameters’ comparisons Kruskal Wallis test also. At the end of the research, it was found that there was a significant difference (p0,005) in the health, education, observation, social, time sub-dimensions according to marital status, observation according to gender variable, and social health and education sub-dimensions according to education level. As a results, it was found that marital status and education level are important factors in participation in nature walks. Keywords: Education, Health, Recreation, Social, Trekking

Last Mile Humanitarian Aid Delivery Model with Electric Vehicles to Disaster Areas

Natural disasters that cause a lot of loss of life and property in Türkiye occur frequently due to reasons such as our country's geographical location, climatic conditions and landforms. For this reason, it is necessary to be extremely prepared for the consequences of disasters. It is also very important to quickly deliver the necessary materials and equipment to people affected by these disasters. For this reason, electric vehicles were included in the mathematical model proposed in the study due to the fuel problems that will be experienced during the disaster process. In this study, a 0-1 mixed integer last mile humanitarian aid distribution model that will be delivered to hospitals from the designated warehouse after a possible disaster is proposed. The proposed model determines routes that will minimize the total distance of electric vehicles, taking into account their charging and energy consumption. Considering the power outages after the earthquake, solar powered electric vehicle charging stations were preferred. The proposed model was applied for the post-earthquake aid distribution example in Kayseri province. Distance data and consumed energy amounts for the Kayseri province example were entered into the model and solved in the CPLEX program. With this study, an example application was carried out for aid distribution activities with electric vehicles after an earthquake in Kayseri. Additionally, the effectiveness of the use of energy-efficient electric vehicles in disaster management was evaluated in the article.

The Relationship Between Pre-School Teachers' Computational Thinking Skills and Their Use of Technology

This research was conducted in 5 central districts of Kayseri province in the 2022-2023 academic year in order to examine the pre-school teachers' levels of computational thinking skills and their attitudes towards using technological tools and the relationship between these two variables. The sample of the study consists of 210 preschool teachers. The survey model, which is one of the quantitative research methods, was used in the research. "Demographic Information Form”, "Computational Thinking Skills Scale” and "Attitude Scale Towards the Use of Technological Tools in Preschool Education" were used to obtain research data. In this study, pre-school teachers' computational thinking skills and attitudes towards technology use were examined in terms of teachers' gender, educational status, seniority, technology-related education status, and it was tried to determine whether there was a significant relationship between these 2 variables. At the end of the research findings, it was revealed that there is a positive and moderate relationship between pre-service teachers' computational thinking skills and attitude towards technology use. In addition, it was concluded that the pre-school teachers' computational thinking skills and attitudes towards the use of technological tools and equipment did not make a significant difference according to the variables of gender, educational status, professional seniority, and education status related to technology.

Contribution to the Macrofungal Biodiversity of Yahyalı District

This contributory study was carried out on the macrofungi samples collected from Yahyalı district of Kayseri province. As a result, 69 macromycete species belonging to 56 genera, 35 families and 7 orders within Agaricomycetes and Pezizomycetes were determined. Including the previously reported species, a total of 147 macromycete species were compiled from the region. The list of the determined species was provided together with their habitats, collection dates, voucher numbers, or the citations for those reported before.

Evaluation of Teachers’ Self-Perceptions Regarding Burnout Levels (Case of Kayseri Province)

Bu çalışmanın amacı, Kayseri ili merkez ilçelerindeki devlet ortaokullarında görev yapan öğretmenlerin tükenmişlik düzeylerine yönelik öz algılarını belirlemektir. Çalışmada nicel araştırma yaklaşımı kullanılmıştır. Çalışmanın evreni 2022-2023 eğitim öğretim yılındaki 129 devlet ortaokulunda görevli 4387 öğretmenden; örneklemi ise tabakalı örnekleme yöntemine göre belirlenen 357 öğretmenden oluşmaktadır. Çalışmada Evci ve Aylar (2007) tarafından geliştirilen “Öğretmenlerde Tükenmişlik Düzeyleri Öz Algı Ölçeği” veri toplama aracı olarak kullanılmıştır. Ölçeğin güvenirlik çalışması için ölçek 419 öğretmene Google Forms üzerinden uygulanmıştır. Yapılan analiz sonucuna göre, öğretmenlerin tükenmişlik düzeylerine ilişkin öz algılarının ölçekteki tüm maddelerin ortalamasına bakıldığında “Kararsızım” görüşünü bildirdikleri ve öğretmenlerin genel olarak orta seviyede tükenmişlik yaşadıkları tespit edilmiştir. Cinsiyet değişkeninde ekonomik doyum alt boyutunda, okuldaki idareciyle beraber çalışma süresi değişkeninde sınıf içi doyum boyutunda, mesleki kıdem değişkeninde yeterlik algısı boyutunda, öğrenim durumu değişkeninde sınıf içi doyum boyutunda, idari görevi durumu değişkeninde yeterlik algısı ve onaylanma beklentisi boyutunda anlamlı farklılaşmaların olduğu tespit edilmiştir. Bu sonuçlara dayanarak, ortaokulda görev yapan öğretmenlerin tükenmişlik yaşamalarının önüne geçmek ve tükenmişlik seviyelerini azaltmak amacıyla meslektaşları, okul idaresi tarafından desteklenmesinin ve bunun yanında üniversiteler ile iş birliği yapılarak eğitimlerin düzenlenmesi gerektiği önerilmiştir.

Bioactive Contents and Fruit Traits of Some Apple Cultivars Grown in Kayseri

This study was carried out to determine the physical properties, biochemical and bioactive compounds of different apple cultivars grown in Yahyalı district of Kayseri province. The plant material of the research consisted of apple cvs. ‘Scarlet Spur’, ‘Starking Delicious’, ‘Starkrimson Delicious’, ‘Golden Delicious’, and ‘Super Chief’. In the study fruit weight, length, width, firmness, soluble solid contents (SSC), titratable acidity (TA), vitamin C, total phenolics, total flavonoids, and antioxidant activities (DPPH and FRAP assays) were investigated. In the findings, significant differences were determined between the fruit characteristics of the cultivars. The highest fruit weight (289.96 g) and length (32.61 mm) were measured from ‘Scarlet Spur’, while the highest fruit width (34.86 mm) was measured from ‘Scarlet Spur’ and ‘Starkrimson Delicious’. The SSC was determined between 11.65 (‘Super Chief’)-14.30% (‘Starkrimson Delicious’), and TA between 0.47% (‘Super Chief’)-1.13% (‘Golden Delicious’). The highest vitamin C content was measured in ‘Starking Delicious’ cultivar (66 mg100 g-1) compared to the others. In terms of total phenolic content, ‘Scarlet Spur’ (38.2 g GAE L-1) and ‘Super Chief’ (36.5 g GAE L-1) cultivars had the highest values, while ‘Super Chief’ had the highest values in terms of total flavonoids (23.5 g QE L-1), and antioxidant activity (FRAP, 490.7 mmol TE L-1; DPPH, 1145.9 mmol TE L-1). As a result, it was revealed the differences between the physical, biochemical, and bioactive contents of apple cultivars grown in Yahyalı district of Kayseri province.

MOLECULAR MARKER BASED ESTIMATION OF APRICOT GENOTYPES COLLECTED FROM YEŞİLHİSAR REGION OF KAYSERİ

Apricot is one of the most important stone fruits in the world. It can be evaluated as both fresh consumption and drying. Turkey is the first apricot producing country and has a rich genetic diversity. There are many apricot populations in different regions of Turkey. Some of them contain standard cultivars and some of them consist of local varieties or genotypes. Kayseri province has relatively important local apricot populations. In this study, genetic diversity in apricot populations in Yeşilhisar, Kayseri-Turkey was investigated. In the study, 32 apricot genotypes were studied with ISSR and POX markers. In apricot genotypes, 88.1% polymorphism was obtained with ISSR markers and 32.7% with POX markers. A dendrogram was created by combining ISSR and POX markers data. Accordingly, the level of similarity among genotypes varied between 0.73-1.00. Among the apricots, the genotypes 31 and 32 in particular were clearly apart from the others. In addition, genotype 21 was located alone in the dendrogram. The remaining apricots are divided into two main groups. The study revealed that Yeşilhisar region apricots have a significant variation.

İşyeri Nezaketsizliğinin Örgütsel Bağlılığa Etkisinde İş Stresinin Rolü

Organizations must prioritize issues related to organizational behavior to achieve important gains, such as fulfilling organizational objectives and providing sustainable competitive advantages. This study’s focus point is to analyze the impact of workplace incivility on organizational commitment and job stress. A unique model has been proposed that deals with workplace incivility, organizational commitment and job stress. To test this model, a survey method was utilized to collect data from individuals working in the furniture sector in the province of Kayseri (N=384). The collected data were analyzed using AMOS-22 and SPSS-27 package programs. The hypothesis tests performed with the regression-based Process Macro analysis showed workplace incivility had statistically significant positive impact on job stress, while it had a statistically significant negative impact on organizational commitment. We conducted a study on the relationship between workplace incivility and organizational commitment and analyzed the mediating role of job stress in this connection. This constitutes the original aspect of the present study. The results suggest relationship between of these two variables is mediates by job stress, revealing the originality of the proposed research model. This empirical study's findings make a significant contribution to literature by illustrating the issues that workplace incivility affects, particularly organizational behavior and work stress. Additionally, examining workplace incivility together with different organizational behavior issues is considered to make important contributions to both business management and academic literature.

The Relationship Between CACNA2D1 Gene and Subclinic Mastitis in Holstein Breed Cattle

The CACNA2D1 gene encodes the CACNA2D1 protein and, this protein is involved in the excitation-contraction mechanism of the muscle cells during milk withdrawal, helps the nipples to open and close. Because of this role in physiological mechanism and its relationship with quantitative trait locus (QTL) regions, CACNA2D1 gene is known to be associated with mastitis resistance. In this study, it was aimed to investigate the relationship between different three SNP (C367400T, A496561G and G519663A) on the CACNA2D1 gene, and subclinical mastitis in Holstein breed cattle reared in Develi district of Kayseri province. SNPs were genotyped from DNA samples by PCR-RFLP method. In the study, California mastitis test (CMT) data, and distributions of genotypes of the three SNPs on the CACNA2D1 gene were calculated. In the study, genotype distributions were determined in terms of C367400T, A496561G and G519663A SNPs found on the CACNA2D1 gene according to CMT status. The difference between the C367400T, A496561G and G519663A SNPs was not significant (p>0.05). In the study group examined the Chi-square (χ2) analysis conducted, it was observed that the Holstein cattle were in the Hardy-Weinberg equilibrium (HWE) in terms of C367400T and A496561G SNPs, deviation from HWE for the G519663A SNP (p<0.05). As a result, it was thought that the CACNA2D1 gene and these SNPs should be evaluated with more samples and different mastitis indicator data in studies on mastitis resistance.

Evaluation of Wheat Varieties Bred by TAGEM by the Producers; Case of Kayseri Province

Bu çalışma Tarım ve Orman Bakanlığı, Tarımsal Araştırmalar ve Politikalar Genel Müdürlüğü (TAGEM)’ne bağlı Tarımsal Araştırma Enstitüleri tarafından geliştirilerek, üreticilerin kullanımına sunulan buğday çeşitlerinin Kayseri ilindeki üreticiler açısından değerlendirilmesini amaçlamaktadır Araştırmada olasılıklı olmayan örnekleme çeşitlerinden kartopu örneklem yöntemi ile zincirleme ulaşım prensibi kullanılarak hedeflenen TAGEM tescilli buğday tohumluğunu kullanan 74 üretici ile görüşülmüştür. Verilerin değerlendirilmesinde; tanımlayıcı istatistikler ve ki-kare analizleri kullanılmıştır. Araştırma sonuçlarına göre, Kayseri ilinde incelenen işletmelerde TAGEM buğday çeşitlerinden Kızıltan 91 çeşidi %67.6 ve Bayraktar 2000 çeşidi ise %25.7 oranı ile üreticiler tarafından en fazla tercih edilen çeşitler olmuştur. Üreticilerin %27’sinin TAGEM buğday çeşitlerinden beklediği verimi elde ettiği, %52.2’sinin ise satışta beklediği buğday satış fiyatını aldığı belirlenmiştir. Üreticilerin %47’si tercih edecekleri buğday çeşitlerinin kılçıklı olmasının önemli bir kriter olduğunu ifade etmiştir. Bölgede artan yaban domuz popülasyonunun kılçıklı buğday tercihini artırdığı söylenebilir. Üreticiler yörede buğday üretiminin sürdürülebilmesi için; verimin kuru koşullarda ortalama 325 kg da-1, sulu koşullarda ise 481 kg da-1 olması gerektiğini ifade etmişlerdir. Uzun uğraşlar sonucu, zaman, genetik materyal, insan kaynağı ve maddi kaynak kullanılarak ıslah edilen verim ve kalite bakımından yüksek değerdeki buğday çeşitlerinin, geliştirme amaçlarına uygun olarak, tavsiye edilen ekolojik bölgelerdeki üreticilere etkili yayım faaliyetleri ve doğru pazarlama kanalları ile ulaştırılması, harcanan emeklerin karşılığını bulması açısından oldukça önemlidir.