The aim of this study is to determine the purpose of social media usage of farmers in Selçuklu district of Konya province. The sample volume was determined as 80 according to the stratified random sampling method, with a 95% confidence interval and with a 5% margin of error. Factor analysis was conducted to determine the farmers’ social media usage purposes. Factor analysis was conducted on 19 independent variables and 3 independent variables were identified to determine the reasons for using social media. These variables are called professional development, socialization, and communication. The relationship between professional development, socialization, and communication variables and social media platforms was determined by linear regression analysis. For platforms used for socialization purposes, it was found that Facebook was statistically significant at 1% and Instagram was 5%. According to the regression analysis, platforms used for vocational development purposes, it was found that WhatsApp was statistically significant at 1% and YouTube was 5%. In social media, training, extension, projects, and promotions should be more widely supported in order to support the professional training of enterprises. In addition, pieces of training should be provided for enterprises to use social media platforms more effectively.

Thirty five genotypes of coriander (Coriandrum sativum L.) were tested in four artificially created environments to judge their stability in performance of seed yield. The differences among genotypes and environments were significant for seed yield. Stability parameters varied considerably among the tested genotypes in all the methods used. The variation in result in different methods was due to non-fulfillment of assumption of different models. However, AMMI analysis provides the information on main effects as well as interaction effects and depiction of PCA score gives better understanding of the pattern of genotype – environment interaction. The sum of squares due to PCAs was also used for the computation of AMMI stability values for better understanding of the adaptability behavior of genotypes hence, additive main effects and multiplicative interaction (AMMI) model was most appropriate for the analysis of G x E interactions for seed yield in coriander. Genotypes RVC 15, RVC 19, RVC 22, RVC 25 and Panipat local showed wider adaptability while, Simpo S 33 exhibited specific adaptability to favourable conditions of high fertility. These genotypes could be utilized in breeding programmers to transfer the adaptability genes into high yielding genetic back ground of coriander.

The aim of the study is to analyse the efficiency of input use in sunflower production in Karatay district. Turkey ranks 10th in sunflower production in the world and Konya province has 13.39% capacity of sunflower production in Turkey, placing the 2nd place in terms of production. 97% of sunflower produced in Konya province is sunflower for oil. Data used in this study was determined as 51 enterprises manufacturing sunflower according to the Stratified Sampling Method. The economic efficiency results of sunflower production were calculated with Data Envelopment Analysis (DEAP) method. The total Gross Production Values (GPV) obtained from the enterprises is 50,221.43 $, the GPV acquired from the sunflower production is 23,844.70 $, the total gross profit is 36,927.29 $ and the sunflower gross profit is 18,285.16 $. According to the efficiency results, economic efficiency was found to be 0.604, resource efficiency was 0.604, technical efficiency was 0.868, and pure efficiency was 0.922 while scale efficiency was 0.942. It should be ensured that enterprises use their resources effectively. Information meetings should be held for enterprises on resource use.

In this study, the factors affecting on land value in urban sprawl were analysed via regression analysis. In the analyse, the nominal value of land was taken to be dependent variable while factors affecting the value of the land in urban sprawl were considered to be independent variables. 9 factors that were thought to affect the value of the land were handled. In this study, 3 separate models were analyzed, and all models provided statistically significant results. The basic reason for applying three separate models is to be witness the effects by including the variables in different categories (environmental, social amenity and economical factors) separately to the model. As a result of these analyses, all of environmental, amenity and economic factors should be considered for valuation of urban sprawl.