No abstract

Climate has an important role in the life processes of living creatures economically, socially and biologically. It affects several sectors and is affected by several sectors. Climate events are known to have changed since the second millennium and today it stands out as a problem that humanity has to face. Climate change has to be evaluated together with the global warming phenomenon. The most important factor causing global warming is the CO2 concentration. This study examines the effects of variables including the share of the agricultural fields within total area, agricultural added value, GDP and population on the CO2 release within the scale of the Eurasian Region and Turkey. The study covers the period between 1993 and 2016 years. Econometric models like ADF unit square test, ARDL and VECM were used. According to the obtained results, the effect of population was determined to be greater than that of the other variables in both regions. All of the variables under study had an increasing effect on CO2 release in the long term in the Eurasian Region, while the share of the agricultural areas within total area and the GDP variables had an effect to reduce CO2 release. This different situation is directly related to the size of the agricultural production in the Eurasian Region and Turkey and to the awareness level of the people. As a result, awareness of the individuals as well as of the state rulers on environmental destruction or environmental cost in particular in all works is considered to be important. On the other hand, it is necessary to plan agricultural production system within an environmental dimension and this needs to become a state policy. However, when creating these policies, one should avoid practices causing any difficulty in meeting the food demand of the population or causing excessive increases in food prices, such as the results when agriculture was affected by the climate events. Otherwise, there may be undesired consequences like food deficiency and corresponding deterioration of the macroeconomic balances of countries.

In this study, 384 persons have been subjected to questionnaire made in order to determine the red meat consumption and preferences of the people living in the central district of Tekirdağ province. In the study it was determined that all the consumers consumed red meat. According to the findings of the research, the annual red meat consumption per capita was determined to be 34.22 kg. Considering the red meat consumption of the people subjected to research, it was determined that beef meat was the most preferred kind among all the other kinds of red meat. In the study, it was determined that in red meat buying place preference consumers prefer traditional retailers such as butcher been specialized. Consumers prefer red meat due to be the most nutritious, respectively be healthy, delicious, habit and easy to access. It was determined that 47.5% of consumers participated in the study were ready to pay extra for red meat in the food safety. It was determined 75.6% people participated in the study consume more red meat if the price of red meat cheapens. A logit model was used for analyzing the factors that influence the red meat consumption of the families participating in this research. According to the logit model results, it was determined that the families' red meat consumption amount is affected from statistical variables such as; number of family members, education level, spouse's employment status, income, cheapening of the price of red meat .

yetiştirme sezonlarında Diyarbakır'da yürütülmüş olup, verim ve kalite özellikleri üstün makarnalık buğday hatlarının belirlenmesi amaçlanmıştır. Araştırmada beş kontrol çeşit ve 20 hat materyal olarak kullanılmıştır. Deneme, tesadüf blokları deneme desenine göre dört tekerrürlü olarak kurulmuş ve tane verimi, hektolitre ağırlığı, bin tane ağırlığı, protein içeriği, irmik rengi ve SDS değeri incelenmiştir. Bileşik analiz sonucunda, genotip, yıl ve genotip x yıl interaksiyonlarında tüm özellikler yönünden önemli farklılıklar belirlenmiştir. Oluşturulan Biplot grafiğinde, hatların çoğu protein oranı, irmik rengi ve SDS değeri gibi kalite özellikleri yönünde yer alarak üstünlük göstermişlerdir. İki yıllık ortalamalara göre, gerek verim ve gerekse kalite yönünden üstünlük gösteren bazı hatlar, ilerde tescil aşamasında değerlendirilmek üzere bölge verim denemelerine alınmıştır.Anahtar Kelimeler: Biplot, durum buğday, kalite, verim Evaluation of Yield and Quality Traits of Some Durum Wheat Lines with Biplot Analysis Method AbstractThis study was carried out to identify the superior properties of durum wheat lines in 2012-2013 and 2013-2014 growing season in Diyarbakir ecological conditions. Five standard varieties and 20 lines were used as research material. The experiment was established as a randomized complete block design technique with four replications and grain yield, thousand grain weight, hectoliter weight, protein content, grain color and SDS value were evaluated. According to the research results significant differences were recorded between genotypes, years and genotype x year interaction regarding all parameters. In the Biplot graphics formed with obtained values, many lines showed superiority regarding their protein ratio, semolina color and SDS values which represent the quality parameters. According to the two-year averages, promising genotypes having high grain yield and high quality characteristics were taken to the regional yield trials for further evaluation in the registration phase.

The agriculture sector which has gained importance with Industry 4.0 in recent years, strives to adapt to the needs and requirements of the era by stripping from its traditional structure. In this process, it is important to increase the motivation (intrinsic and extrinsic) of human resources factor, which is the most important input of agriculture, on innovation, creativity and entrepreneurship. This paper examined the factors that affect the intrinsic motivation of the agricultural holdings managers in Kirsehir province of Turkey on their creativity for innovation, which is one of the main variables of growth. Questionnaire forms were filled with 312 agricultural holdings managers who were selected according to the Probability Sampling Method in September-October, 2019. Intrinsic motivation scores for creativity (IMC) were obtained by using 5-point scale. Determined some socio-demographical, agricultural, economic and behavioral variables for agricultural holdings were tested with IMC levels. As a result of the study, it was determined that variables such as education, social security status, share of agricultural income, subjective poverty and risk behaviors significantly affect the IMC level of the agricultural enterprise managers. As a result, the measures to increase both the internal and external motivations of the agricultural enterprises managers are required in order to make agriculture more competitive, profitable and sustainable by removing it from the traditional structure. In this regard, not only the economic side but also the social side of agriculture should not be ignored and the potential of agriculture should be used more with structural reforms.