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turkey; b Department of Field crops, Faculty of agriculture, Bolu abant İzzet Baysal university, Bolu, turkey; c State Key laboratory for conservation and utilization of Subtropical agro-bioresources, South china agricultural university, guangzhou, pR china; d cRea Research center for cereal and industrial crops, Bologna, italy;

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-The purpose of this study was to calculate costs of milk production, gross production value, gross margin, absolute profit, and relative profit of dairy cattle farms located in the provinces of east Mediterranean region of Turkey. Primary data were collected from 148 dairy cattle farms designated using the Neyman Stratified Sampling method through surveys. Dairy farms were classified into four groups according to the number of cows. The data belong to the 2012 production season. A single product budget analysis method was used for calculating production costs. According to the results, variable costs amounted to 65.91% of total production costs. Feed cost (86.52%) was the main component of variable costs. The cost of 1 kg of milk, on average, was calculated as USD 0.261. The cost of milk was USD 0.499 on group 1 farms, USD 0.399 on group 2 farms, USD 0.272 on group 3 farms, and USD 0.233 on group 4 farms. Among the farms under study, average gross margin value was negative only on group 1 farm, and positive in all other groups. Absolute profit value was positive only on group 4 farm, and negative in all other groups. The average relative profit of the farms was 0.9067. The expansion of dairy farms could be reached by reducing the feed cost as well as increasing the scale of farms.

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-This study estimates the technical efficiency of goat rearing in the province of Isparta in Turkey using Data Envelopment Analysis (DEA). The data used were collected from 92 goat farmers using the stratified sampling method by means of a questionnaire. The technical efficiency of the goat farming varied widely between 0.13 and 1.00. The mean efficiency of 92 goat farms was calculated to be 0.44 and 0.66 for constant and variable returns to scale assumptions, respectively. The greatest slacks were in feedstuff concentrates and labour used. The most significant factors affecting efficiency of goat production were farmer experience, cooperative membership, milk yield per goat, and family and hired labour. Technical efficiency should be improved by providing farmers with well-organised education, an extension program, and research and development programs on goat rearing.