Bivariate Tobit, Censored demand, Fluid milk, Households, Turkey,
Compared with results from other studies of farm production in developing countries, this study finds that the sample of 54 cotton farmers located on the Harran Plain, Turkey, are producing at a high level of efficiency. Nevertheless, 72% of the farms are using inefficient levels of inputs. A statistically significant, positive relationship between farmers' education and on-farm technical efficiency underscores the need for public investment in rural education. Chemical, urea, tractor and labour inputs are used most inefficiently. Hence educational programmes should target these four inputs. A statistically insignificant relationship between farm size and technical efficiency implies that educational programmes should be available to all farmers, regardless of the size of their farm.
-The objective of the study was to present the current situation of water buffalo breeding in Turkey, determine the relevant problems, and propose suggestions for its improvement. The research data were collected at the "Focus Group Interviews" with the sector actors from the cities engaged in buffalo breeding between July and September of 2015. The cities included Afyonkarahisar, Bitlis, Diyarbakir, Istanbul, Muş, Samsun, and Tokat, where buffalo breeding was usually practiced by small-scale family enterprises that used traditional husbandry methods. The variables chosen as indicators of yield included milk yield, meat yield, and lactation period, which were found to be below global averages. The study revealed lack of adequate record-keeping of enterprises raising water buffalo. Buffalo breeders should take necessary steps to improve their strategies to increase buffalo milk yield, while government agencies should protect wetlands and prevent their unintended use, making relevant legal arrangements where necessary. Buffalo meat and milk should be promoted with an emphasis on their superior nutritional values. For the development of buffalo breeding in Turkey, necessary steps should be taken on both national and local levels.
This study aimed to investigate a cultivar selection criterion based on income ha -1 in common wheat. Regional yield trials with 20 entries were planted in Diyarbakır, Hazro and Ceylanpınar in southeast Anatolia in the 2004/ 2005 growing season. A randomized complete block design with four replications was employed. Grain samples from each location were subjected to quality analyses, and then presented to randomly selected grain purchasers with the local commodity market for market price estimations.Entries 1, 9, 10, 7 and 6 were the top five ranking entries for grain yield, giving 5,320, 5,290, 5,280, 5,140 and 5,130 kg ha -1 , respectively. From the market price perspective, entries 17, 3, 7, 20 and 8 received the five highest marketing price offers with the values 239.0, 238.1, 237.1, 236.9 and 236.7 US$ tonne -1 , respectively. There was a US$ 10.94 tonne -1 market price difference between entries with the highest and the lowest market price. The only quality analyses showing significant correlations with market price were Zeleny sedimentation value and hectolitre weights (kg hl -1 ). From thev production income [= marketing price (US$ tonne -1 ) · grain yield (kg ha -1 )] point of view, entries 9, 10, 1, 7 and 6 were ranked from 1st to 5th for production income ha -1 with the values 1,241.0, 1,238.0, 1,219.9, 1,214.2 and 1,209.3 US$ ha -1 , respectively. All five high yielding entries were also high-income entries. A rank stability analysis further indicated that entry numbers 6, 7, 8, 4 and 1 stable for high production income ha -1 . A simulation study, based on allocation of additional premiums for high quality indicated that entries 9,1,10, 7, and 6 would be top ranking for high income ha -1 if given an additional premium of as much as twice the standard deviations of market price for each entry (the highest premium limit; 20.24 US$ tonne -1 ). The order for cultivar preference for high production income ha -1 would change and would generate 1,321.94, 1,296.20, 1,281.11, 1,258.06 and 1,243.01 Ó Springer Science+Business Media B.V. 2006 US$ ha -1 , respectively. It was concluded that the relatively quality conscious S¸anlıurfa commodity market does not offer adequate premiums for the high quality grains. This results in farmer preference for high yielding lower quality cultivars. Even though quality cannot be neglected, and cultivar preference could change with additional premiums, breeders must give more attention to high production income ha -1 .
There is no clear consensus regarding the advantages of bed planting with furrow irrigation over conventionally irrigated cropping. This 3-year study from Southeastern Turkey aimed to assess the limits to some input savings in bed planting-furrow irrigation in terms of yields and profitability of durum wheat. Field trials were carried out using a randomized complete block design with six treatments and tree replications: T1: Conventional Planting-Flood Irrigation (CP-FI) with recommended practices for seed rate, chemical fertilizers and chemical weed control; T2: Bed Planting and Furrow Irrigation (BP-FI) with recommended input rates as in T2; T3: BP-FI with 10% input reduction; T4: BP-FI with 20% input reduction; T5: BP-FI with 30% input reduction; T6: BP-FI with 40% input reduction. The trial had four replications at each location over three cropping seasons, i.e., Akçakale (2004-05, 2005-06) and Koruklu (2006-2007). Individual and combined analysis of variance were performed for grain yields, market prices based on quality assessment, protein content and both 1000-kernel and hectoliter weights. Profitability was assessed with partial budget analysis. Except for yields, there was little effect of treatments on the other variables. Based on yields and economic analysis, the conventional system with flood irrigation was superior to the bed and furrow system, even when the inputs were reduced in such a system. The work demonstrates the site-specific nature of any new technology as there are several local biological and economical factors to be considered.
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