Non-dairy probiotic functional foods are receiving considerable interest recently owing to the inability to cause allergy in certain segments of the population. Studies on probiotication were carried out to determine the suitability of kunun-zaki as food matrix for production of probiotic beverage using single and mixed culture of Pediococcus acidilactici KU7, Pediococcus pentosaceus CREC5 and Lactobacillus rhamnosus GG. Probioticated and un-probioticated kunun-zaki samples were designated PKZ and UPKZ, respectively. There was a significant difference in the viable count during storage. Viable counts of the LAB strains decreased with increasing storage time with P. acidilactici KU7 having the highest viability at the beginning and end of storage (3.43 ± 0.06 and 0.93± 0.12 x108 cfu/ml). There was a decrease in pH of the PKZ samples within the 1st and 3rd week with corresponding increase in lactic acid production (71.16 ± 0.01 – 441.39 ± 0.01). Marked increase in pH and a decline in lactic acid were observed at the 4th week of storage in all samples. Total soluble solids content of the beverage was observed to decrease with increasing storage time ranging from 8.25 ± 0.01-4.97± 0.01. There was no significant difference in pH and total soluble solids of UPKZ and colour of the PKZ and UPKZ samples during storage. All the PKZ samples were able to inhibit the growth of selected pathogens with marked variability amongst the samples. The UPKZ sample also showed slight inhibitory activity. The samples showed a decline in proximate and mineral composition at the end of storage. Sensory evaluation showed the PKZ samples were preferred over the UPKZ samples. This study shows that probioticated kunun-zaki can serve as a suitable non-dairy alternative to dairy probiotic formulations and would be of health benefits to potential consumers.

In Ethiopia, the national agricultural research system has been generating and disseminating different agricultural technologies since its establishment in 1966. Although these technologies are meant to increase agricultural productivity, they have to be evaluated for their impact on production and for the benefit that the farmers get out of them. Hence, the main objectives of this study were to examine the impact of technological innovations on wheat production and to decompose the total change in wheat output resulting from the introduction of new technologies into its constituent parts. Cobb-Douglas production function was employed to estimate the regression coefficients under old variety growers, new variety growers, and pooled data cases. Output decomposition model was applied to decompose the total change in output into its constituent parts. The econometric results of this study indicated that, out of 55% of the observed productivity difference between old and new variety grown plots, technological change and change in associated input levels contributed about 24% and 31%, respectively. Of the 31% increment attributed to input use levels, an increased use of herbicides and fertilizers caused the biggest jump in the productivity of improved wheat varieties (15.5% and 11% respectively). The major implications included the need to exploit the full potential of new varieties using recommended input levels, strengthening the research system, fostering coordinated efforts among various actors in agricultural development, and strengthening the technology instrument in rural development and poverty reduction strategies of the country.

The purposes of this study were to determine the socio-economic characteristics of dairy farmers in Antalya, in Turkey, calculate the gross income, variable costs and gross margin of dairy farms, determine the probability distributions of consequences for alternative decisions to enable dairy farmers as decision makers to make a good and well-informed choice, to determine cross effects of milk prices variations on the productive strategy of dairy farms. The data were gathered via face to face interviews in Korkuteli, Dosemealtı, Elmalı, Manavgat and Serik counties of Antalya province in Turkey. The survey study was conducted with 80 farmers, who were member of Dairy Cow Breaders Union, in the 2011 production period. In this study, on the basis of previous experience, dairy farmers assigned minimum, maximum and most likely values of milk price and yield over the next period of 5 years. Then, triangular and cumulative distributions were defined by using these values. Moreover, Monte Carlo Stochastic Simulation model was developed to obtain distribution of expected gross margin per cow. The model and triangular and cumulative distributions were built in Excel with @Risk add-in software. The relationship of mean risk aversion coefficient, calculated by using negative exponential function, with both average gross margin and gross margin standard deviation values determined for each farm was examined. The results show that the relation between average gross margin and mean risk aversion coefficient was negative and significant at 5% level. But, although the relation between gross margin standard deviation and mean risk aversion coefficient was found to be negative, it was not significant at 5% level.

Path analysis is determinate that relationships among variables by using correlation coefficient, partial correlation coefficient and path coefficient. In this study, direct and indirect effects of honey yield between brood rearing area, flight activity, pollen collection, nectar collection and cleaning power were examined with these coefficients. Data which taken from C.U. Faculty of Agriculture, Department of Animal Science, Beekeeping Business were used. In the end of this research, the effect of brood rearing area on honey yield was found significant. In the colonies, brood rearing area has the highest direct effect of honey yield. Nectar collection has the highest indirect effect.

Copra meal (CM) is an important feed ingredient and the by-product of the oil extraction from dried coconut kernels. This product, although copra meal has a moderate protein content (15-25%); because of a high cellulose content (11.63-16.00%) and some limiting amino acids (particularly lysine and methionine), limits its use as a basic source of protein in poultry due to insufficient. Copra meals are more suitable common supplements as both an energy and protein source for ruminants. In this paper, nutritional researches performed with the copra meal usage on poultry and ruminant species have been reviewed.

Muscari neglectum Guss. Ex Ten, is an ornamental, herbaceous perennial plant species that grows in the Mediterranean countries with attractive and scented blue-colored flowers. The plant has low seed output, seed dormancy, low germination and propagation rates. This study aimed to develop a reliable microclonal propagation protocol for M. neglectum using TDZ (Thidiazuron)-NAA (α Naphthalene acetic acid) to induce bulblets, roots, and acclimatization of the regenerated bulblets. Maximum number of bulblets per explant (8.25±0.05) was noted on MS medium containing 0.0454 µM TDZ-5.37 µM NAA. The bulblets regenerated in each type of culture medium were very vigorous, and acclimatized easily following rooting on a subculture. Here we show that this protocol is a useful clonal micropropagation system for this important ornamental plant.

In this study consumers’ perception of, and purchase intention for genetically modified foods were examined in the city center of Hatay. The data of the 343 surveys were collected by using the face to face interview method. The data were analyzed by means of Likert Scale, and Spearman Correlation Analysis. According to the survey results, consumers’ risk perceptions about genetically modified foods are quite high. Consumers don’t willingly purchase genetically modified foods, and they intend to consume foods grown in traditional methods. High risk perceptions have a determining role on consumers’ views about genetically modified foods and their purchase intention for them. Another outcome from this study is that consumers’ awareness and knowledge levels about genetically modified foods are quite low, and that their perceptions and attitudes are mostly based on biases.

The article focuses on the impact of different dairy management types on quality characteristics of organic and conventional milk. The study was conducted during 9 months (spring-autumn), raw milk samples were collected from organic and conventional dairy farms from two Ukrainian regions. The milk samples were analyzed for dry matter, total protein and non-protein nitrogen, ammonia content and values of stable isotopes 13С/12С were measured in fat and milk protein fractions. The values of dry matter, total protein, true protein and non-protein nitrogen content do not represent a statistically significant effect of farming type. The values of ammonia content, ammonia/non-protein nitrogen and ammonia/total protein ratios were statistically significant and reflected the impact of farming type which is, probably, linked with different protein content in cows’ diet. Conversion of some parameters on the dry matter allows more precise differentiation among types of milk, including statistically significant differences (e.g. total protein and ammonia content). The values of δ13C in fat fraction (-26.00‰) and protein fraction (-22.89‰) of organic milk were statistically significant differed in comparison with conventional milk (-23.14 ‰ and -19.15‰ respectively), due to the high amount of maize in the diet on conventional farm. The values of Δδ13C also were statistically significant: 3.99‰ in conventional milk and 3.11‰ in organic. It was established that conventional milk has a greater range of the different parameter seasonal variations than organic milk.