Roasting is the most important coffee processing stage that affects coffee flavour. Coffee brew is prepared by various methods and Turkish coffee brewing technique is one of the oldest methods among other coffee preparation techniques. In this study, volatile compounds of light, medium, dark roasted ground coffee and Turkish coffee brews prepared from light, medium, dark roasted coffees were evaluated and the effect of roasting process was determined. The volatile compounds from acid (2), alcohol (1), aldehyde (2), furan (8), furanone (3), ketone (1), lactone (1), phenol (3), pyrazine (19), pyridine (1), pyrrole (6), and thiophene (1) chemical group was detected in all roasted ground coffee samples. However, volatiles compounds from acid, alcohol and furanone group were not detected in any Turkish coffee brew. Pyrazines were main volatile compounds of light roasted ground coffee and Turkish coffee brew of light roasted coffee. On the other hand, furans were main volatile compounds of medium, dark roasted ground coffee and Turkish coffee brew prepared from medium, dark roasted coffees followed by pyrazines.

This study was performed to determine the effect of hatching system (house and hatcher) and egg weight (heavy and light) on pip-hatch time, hatchability and some gosling quality traits. A total of 389 eggs (fertile of candling) from 2-year-old Turkish Native Goose were used in the study. Before the incubation process, all eggs were individually numbered and weighed. Eggs were divided into heavy (≥160 g) and light (

Tea is a popular beverage with potential health benefits for those who consume it regularly. Tea products with health claims require scientific evidence based on clinical trials with generally accepted scientific data and newly developed scientific data. Tea products have been labelled FOSHU in Japan, claiming to reduce body fat and cardiovascular risk. In The USA, health claims on tea cannot be recommended and categorized as Qualified Health Claims. In Europe, health claims for tea still required further research to provide accepted scientific data. This review aims to explain the position of tea products based on the perspective of the regulatory framework of food health claims in the different official agencies in the United States, Europe, and Japan.

Powdery mildew affecting European hazelnut Corylus avellana L. trees in Turkey is caused by the obligate biotrophic fungus Erysiphe corylacearum. This fungal disease causes significant economic losses by reducing the yield and quality of hazelnuts. Loss-of-function mutations in the mildew resistance locus o (MLO) gene family of many plants confer high levels of broad-spectrum resistance to powdery mildew. The proteins encoded by the genes at the MLO locus are divided into approximately seven different conserved clades. Among them, the phylogenetic clade V has been shown to be involved in PM susceptibility, as inactivation of these genes leads to long-term disease resistance in dicotyledons. In this study, we examined the temporal expression pattern of three hazelnut MLO genes, previously identified as clade V, in response to powdery mildew infection in C. avellana cv. Tombul. Leaves are the main tissue affected by the powdery mildew pathogen in hazelnut plants. Analysis of MLO expression in hazelnut leaves showed that CavMLO2 and CavMLO6 were significantly upregulated after challenge with E. corylacearum, providing preliminary evidence that they may be involved in PM susceptibility. Thus, these results present a basis for the isolation and use of relevant genes in plant breeding for disease resistance. Moreover, expression profiles of the clade V MLO genes are also important to identify candidate genes that need to be silenced or edited for future molecular studies to obtain resistant hazelnut varieties.

Bu çalışma, rasyona farklı seviyelerde (%0, 5, 10 ve 20) aspir tohumu küspesi içeren rasyonlara 0 ve 1000 mg/kg seviyesinde enzim ilavesinin yumurtlayan Japon bıldırcınlarında performans, yumurta kalitesi ve serum parametrelerine etkisini belirlemek amacıyla yürütülmüştür. Çalışmada 8 haftalık yaşta 160 adet dişi Japon bıldırcını (Coturnix coturnix Japonica) kullanılmıştır. Farklı seviyelerde aspir tohumu küspesi içeren rasyonlara enzim ilavesinin oluşturduğu 8 muamele grubunda her birinde 4 adet Japon bıldırcının bulunduğu bıldırcın kafesinde 5 tekerrürlü olarak 84 gün süreyle yürütülmüştür. Yumurtlayan bıldırcınlarda farklı seviyelerde aspir tohumu küspesi içeren rasyonlara enzim ilavesinin deneme sonu canlı ağırlık, canlı ağırlık değişimi, yumurta verimi ve yem değerlendirme katsayısı üzerine etkisi önemsiz olmuştur. Yem tüketimi rasyona enzim ilavesinden etkilenmez iken, %20 seviyesinde aspir küspesi içeren grupta yem tüketimi %5 seviyesinde aspir küspesi içeren gruptan önemli seviyede yüksek, diğer gruplarla benzer olmuştur. Yumurta ağırlığı ve yumurta kabuk kırılma direnci muamelelerden önemli seviyede etkilenmemiştir. Yumurta kitlesi ve kabuk kalınlığına rasyon aspir küspesi seviyelerinin etkisi önemli olurken, yumurta kabuk oranına enzim ilavesinin etkisi önemli olmuştur. Muamelelerin ak indeksi, sarı indeksi ve Haugh birimine etkisi önemsiz olmuştur. Yumurta sarısı renk özelliklerinde a* ve b* değeri muamelelerden önemli seviyede etkilenmez iken, rasyona enzim ilavesiyle L* değerinde önemli seviyede düşüş görülmüştür. Serum glukoz, kolesterol, AST, ALT, kalsiyum ve fosfor konsantrasyonlarına muamelelerin etkisi önemsiz olmuştur. Deneme sonuçlarına göre yumurtlayan bıldırcın rasyonlarında enzim ilavesine gerek olmadan %20 seviyesinde aspir küspesi kullanılabileceği söylenebilir.

Sugar beet is an important agricultural and industrial crop that contributes to Turkey’s economy. It is not only the source of sugar production in our country but also become an important sector with seed production. The seeds are one of the most important issues directly affecting the root yield and quality of sugar beet. There are a lot of registered sugar beet varieties and sufficient seed production in Turkey. According to the data in 2020 year, the seeds of sugar beet varieties were produced with a sowing area of 11.891 decare, seed production was 2.317 tons and 198 kg/da in seed yield. The seed amount is completely belonging to the seed companies operating in the private sector. Besides, 413 tons of sugar beet seeds were imported and 11.312 million dollars was paid, while 143 tons of seeds were exported and 1.584 million dollars income was obtained in 2020. The sugar beet plant produces leaves above the ground and root in the first year, and grows the stem, branch, flower and seeds in the second year. Therefore, seed production needs a long time and intensive labor requirement. In order to shorten this two-year period in seed production of sugar beet, firstly seedlings belonging to male and female lines of a hybrid variety are grown and then, the seed production is performed by transplanting these seedlings. In this review, commercial hybrid seed production of sugar beet is explanied in detail.

This study was carried out to determine the effects of lactic acid bacteria (LAB) inoculants and lactic acid bacteria+enzymes (LAB+E) inoculant on the fermentation, aerobic stability, and feed value of rye silages. Whole crop rye was harvested at dough stage. Biosil (Wuthenow, Germany), Silaprilis Pro (Timac Agro, USA) and Sil-All (Allteck, UK) were used as lactic acid bacteria and lactic acid bacteria+enzyme mixture inoculants. Inoculants were applied to silages at 6.00 log10 cfu/g levels. After the treatment, alfalfa was ensiled in 1.0-L special polyethylene vacuum bags. The bags were stored at 20±2°C under the laboratory conditions. Three bags from each group were sampled for chemical and microbiological analyses 2, 4, 8 and 75th days after ensiling. At the end of the ensiling period, all silages were subjected to an aerobic stability test for 5 days. In addition, in vitro dry matter, and organic matter digestibility of experiment silages were determined. The results showed that lactic acid bacteria and lactic acid bacteria+enzyme mixture inoculants increased characteristics of fermentation and aerobic stability of rye silages. Lactic acid bacteria+enzyme mixture inoculants decreased neutral detergent fiber, acid detergent fiber and celluloses content in the silages. Lactic acid bacteria+enzyme mixture inoculants increased in vitro dry matter digestibility, organic matter digestibility and metaboze energy of rye silages. Therefore, lactic acid bacteria and lactic acid bacteria+enzyme mixture inoculants might improve the fermentation properties and feed values of rye silages harvested at dough stage.

The objective of this study was to compare predictive performances of four machine learning (ML) models: Support Vector Machines with Radial Basis Function Kernel (SVMR), Classification and Regression Trees (CART), Random Forest (RF) and Model Average Neural Networks (MANN) to predict live weight from morphological measurements of Norduz sheep (n=93). Seven morphological measurements; chest girth (CG), chest width (CW), chest depth (CD), height at withers (HW), body length (BL), heigth at rump (HR) and rump width (RW) were used to predict live weigth (LW) of Norduz sheep. All morphological measurements were positively correlated to LW. Live weight had the highest correlation with CG and the lowest correlation with HR. Initially, highly correlated predictors were removed from the data set. The remaining predictors were then subjected to variable selection procedures using the Boruta algorithm. The results of Boruta confirmed the importance of the four predictors HW, BL, CW, and CD. However, HR confirmed to be unimportant was excluded from the dataset. The ML models were trained on selected predictors. The results showed that the prediction performance validated using the test dataset indicated that RF had the lowest values of Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percent Error (MAPE). The permutation-based variable importance scores indicate that CW and CD were the most important variables in predicting LW. The actual LW had the highest significant positive correlations with the values predicted by SVMR and RF, and followed by ANN and CART models respectively. There were no differences between the means of actual and predicted LWs by machine learning models. The fact that the models generalized well on the testing data sets indicates that machine learning algorithms have valid predictive patterns and are effective methods in LW weight of Norduz sheep. Considering runtime of the models, although the CART model had the lowest computational cost, it had the worst performance. The MANN algorithm, on the other hand, required a longer runtime to process the same dataset.

Bu çalışmada TR22 Bölgesi’nde 2017-18 üretim yılında bölgedeki yağlık zeytin üreten, işleyen ve aracı işletmeler incelenmiştir. Yapılan çalışma sonucunda araştırma bölgesinde yağlık dane zeytin ve zeytinyağında yağhaneler, zeytinyağı fabrikaları, tüccarlar, perakendeciler, TARİŞ ve nihai tüketiciler pazarlama kanallarını oluşturduğu bulunmuştur. Yağlık dane zeytinin hasat sonrası işleme merkezlerinde yığılmalar sonucunda beklemesi, yağlık dane zeytin nakliyesinde çuval kullanımı, dip zeytinlerin dalından koparılanlarla karıştırılması ve hasatta sırık kullanımının etkinliği azaltan faktörler olarak bulunmuştur. Zeytin hamuru sıcaklığının optimum seviyenin üzerine çıkarılması, malaksör makinesinin kapağının yoğurma sırasında açılması ve üç fazlı ve klasik sistemlerin kullanılması sonucu karasu sorununun ortaya çıkmasının işleme hizmetinde pazarlama etkinliğini azaltan faktörler olduğu bulunmuştur. Aracıların yağlık dane zeytinde pazarlama marjı %1,64, zeytinyağında tüccarların %20,00, fabrikaların %14,06 ve perakendecilerin %22,58 marjı olduğu bulunmuştur. Perakende fiyatları içinde üretici fiyatlarının farkı ise zeytinyağında %51,16 olarak bulunmuştur.

In recent years, climate change and Covid-19 pandemic have dramatically caused some attitude variation on consumers’ food consumption preferences. By measuring the impacts on their behaviors of these changes, using as a policy tool is of a great importance. This research was conducted to analyze the total effect of sensory quality and mediating effect with natural risk factor on veal consumption hedonism of consumers in Erzurum province under climate change and Covid-19 epidemic. The main data of the study was consisted of primary data obtained from 385 household in 2021. The data were used in basic effect model to measure the sensory quality effect on consumption hedonism, and then in mediating effect model to determine indirect effects of risk factor playing linking role. The results of the study indicated that sensory quality being of high total effect on consumers’ veal consumption hedonism in basic effect model explained 64% of total variance. On the other hand, it was determined that sensory quality’s direct effect on consumption hedonism in mediating effect model with risk factor was lower, but the risk factor’s indirect effect was meaningful, and had a higher explanation rate than that in basic effect model. In order to be able to increase consumption hedonism, human diets should include consumption based on alternative meat and protein sources of vegetable origin instead of veal consumption. Hygiene decisions minimizing Covid-19 infection risk, moreover, at production and marketing stages of alternative meats should be taken and implemented.