Men beside Cars

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Construction Field

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Man by River

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Man beside Rushing Water

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Men by Carcass of Pig

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Man in Hat with Bees

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Children Playing with Sand

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Man Looking at Chicken on Lap

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Man Picking Fruit

Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

Constraints on community participation in salmon fisheries management in Northwest Russia

Acknowledgements Many parties contributed to making this paper a reality. This research was supported by the European Social and Research Council, grant ESRC ES/K006428/1. The author is particularly grateful to the grant’s holder, Professor David Anderson from the Department of Anthropology, University of Aberdeen, for his various support throughout this research. The Barents Center of the Humanities at Kola Science Center of the Russian Academy of Sciences in Apatity provided important institutional support. Officials from several fisheries management institutions of Arkhangelsk oblast, including Shiriaev Igor Alekseevich from Dvinsko-Pechorskoe Territorial Management Board, Skovorod’ko Artem Aleksandrovich from the Northern Basin Directorate of Fisheries and Water Biological Resources Conservation (Sevrybvod) and Korotenkov Aleksei Anatol’evich from the Fishing Industry Agency of Arkhangelsk oblast were very supportive and shared their knowledge wherever possible. Scholars Studenov Igor Ivanovich and Stasenkov Vladimir Aleksandrovich at Northern branch of the Knipovich Polar Research Institute of Marine Fisheries and Oceanography (SevPINRO) in Arkhangelsk provided their invaluable expertise on marine fisheries. Chairmen of several fishing collective farms – Tuchin Sergei Viktorovich, Samoilov Sergei Nikolaevich and Seliverstova Marina Nikolaevna – offered a great administrative support. Local residents of several villages in Mezen region were extremely generous and hospitable, providing places to stay, warm clothes, food, endless cups of tea, and most valuably, sparing their time. Finally, Natalie Wahnsiedler was a regular companion during fieldwork and a great source of inspiration for this research.

Constraints on community participation in salmon fisheries management in Northwest Russia

Acknowledgements Many parties contributed to making this paper a reality. This research was supported by the European Social and Research Council, grant ESRC ES/K006428/1. The author is particularly grateful to the grant’s holder, Professor David Anderson from the Department of Anthropology, University of Aberdeen, for his various support throughout this research. The Barents Center of the Humanities at Kola Science Center of the Russian Academy of Sciences in Apatity provided important institutional support. Officials from several fisheries management institutions of Arkhangelsk oblast, including Shiriaev Igor Alekseevich from Dvinsko-Pechorskoe Territorial Management Board, Skovorod’ko Artem Aleksandrovich from the Northern Basin Directorate of Fisheries and Water Biological Resources Conservation (Sevrybvod) and Korotenkov Aleksei Anatol’evich from the Fishing Industry Agency of Arkhangelsk oblast were very supportive and shared their knowledge wherever possible. Scholars Studenov Igor Ivanovich and Stasenkov Vladimir Aleksandrovich at Northern branch of the Knipovich Polar Research Institute of Marine Fisheries and Oceanography (SevPINRO) in Arkhangelsk provided their invaluable expertise on marine fisheries. Chairmen of several fishing collective farms – Tuchin Sergei Viktorovich, Samoilov Sergei Nikolaevich and Seliverstova Marina Nikolaevna – offered a great administrative support. Local residents of several villages in Mezen region were extremely generous and hospitable, providing places to stay, warm clothes, food, endless cups of tea, and most valuably, sparing their time. Finally, Natalie Wahnsiedler was a regular companion during fieldwork and a great source of inspiration for this research.

Occurrence of mycobacteria in bovine milk samples from both individual and collective bulk tanks at farms and informal markets in the southeast region of Sao Paulo, Brazil

Background: Mycobacterium spp. is one of the most important species of zoonotic pathogens that can be transmitted from cattle to humans. The presence of these opportunistic, pathogenic bacteria in bovine milk has emerged as a public-health concern, especially among individuals who consume raw milk and related dairy products. To address this concern, the Brazilian control and eradication program focusing on bovine tuberculosis, was established in 2001. However, bovine tuberculosis continues to afflict approximately 1,3 percent of the cattle in Brazil. In the present study, 300 samples of milk from bovine herds, obtained from both individual and collective bulk tanks and informal points of sale, were cultured on Löwenstein-Jensen and Stonebrink media. Polymerase chain reaction (PCR)-based tests and restriction-enzyme pattern analysis were then performed on the colonies exhibiting phenotypes suggestive of Mycobacterium spp., which were characterized as acid-fast bacilli.Results: Of the 300 bovine milk samples that were processed, 24 were positively identified as Mycobacterium spp.Molecular identification detected 15 unique mycobacterial species: Mycobacterium bovis, M. gordonae, M. fortuitum, M. intracellulare, M. flavescens, M. duvalii, M. haemophilum, M. immunogenum, M. lentiflavum, M. mucogenicum, M. novocastrense, M. parafortuitum, M. smegmatis, M. terrae and M. vaccae. The isolation of bacteria from the various locations occurred in the following proportions: 9 percent of the individual bulk-tank samples, 7 percent of the collective bulk-tank samples and 8 percent of the informal-trade samples. No statistically significant difference was observed between the presence of Mycobacterium spp. in the three types of samples collected, the milk production profiles, the presence of veterinary assistance and the reported concerns about bovine tuberculosis prevention in the herds.Conclusion: The microbiological cultures associated with PCR-based identification tests are possible tools for the investigation of the presence of Mycobacterium spp. in milk samples. Using these methods, we found that the Brazilian population may be regularly exposed to mycobacteria by consuming raw bovine milk and related dairy products. These evidences reinforces the need to optimize quality programs of dairy products, to intensify the sanitary inspection of these products and the necessity of further studies on the presence of Mycobacterium spp. in milk and milk-based products. © 2013 Franco et al.; licensee BioMed Central Ltd.

Ownership and Investment Behaviour in Transition Countries: A Case Study of Collective and Corporate Farms in the Czech Republic. Factor Markets Working Paper No. 17, February 2012

Cooperative and corporate farms have retained an important role for agricultural production in many transition countries of Central and Eastern Europe. Despite this importance, these farms' ownership structure, and particularly the ownership's effect on their investment activity, which is vital for efficient restructuring and the sector's future development, are still not well understood. This paper explores the ownership-investment relationship using data on Czech farms from 1997 to 2008. We allow for ownership-specific variability in farm investment behaviour analyzed by utilizing an error-correction accelerator model. Empirical results suggest significant differences in the level of investment activity, responsiveness to market signals, investment lumpiness, as well as investment sensitivity to financial variables among farms with different ownership characteristics. These differences imply that the internal structure of the Czech cooperative and corporate farms will be developing in the direction of a decreasing number of owners and an increasing ownership concentration.

Fuzzy-logic based frequency controller for wind farms augmented with energy storage systems

Displacement of conventional synchronous generators by non-inertial units such as wind or solar generators will result in reduced-system inertia affecting under-frequency response. Frequency control is important to avoid equipment damage, load shedding, and possible blackouts. Wind generators along with energy storage systems can be used to improve the frequency response of low-inertia power system. This paper proposes a fuzzy-logic based frequency controller (FFC) for wind farms augmented with energy storage systems (wind-storage system) to improve the primary frequency response in future low-inertia hybrid power system. The proposed controller provides bidirectional real power injection using system frequency deviations and rate of change of frequency (RoCoF). Moreover, FFC ensures optimal use of energy from wind farms and storage units by eliminating the inflexible de-loading of wind energy and minimizing the required storage capacity. The efficacy of the proposed FFC is verified on the low-inertia hybrid power system.

Design and flight testing of an integrated solar powered UAV and WSN for greenhouse gas monitoring emissions in agricultural farms

There is an increased interest in measuring the amount of greenhouse gases produced by farming practices . This paper describes an integrated solar powered Unmanned Air Vehicles (UAV) and Wireless Sensor Network (WSN) gas sensing system for greenhouse gas emissions in agricultural lands. The system uses a generic gas sensing system for CH4 and CO2 concentrations using metal oxide (MoX) and non-dispersive infrared sensors, and a new solar cell encapsulation method to power the unmanned aerial system (UAS)as well as a data management platform to store, analyze and share the information with operators and external users. The system was successfully field tested at ground and low altitudes, collecting, storing and transmitting data in real time to a central node for analysis and 3D mapping. The system can be used in a wide range of outdoor applications at a relatively low operational cost. In particular, agricultural environments are increasingly subject to emissions mitigation policies. Accurate measurements of CH4 and CO2 with its temporal and spatial variability can provide farm managers key information to plan agricultural practices. A video of the bench and flight test performed can be seen in the following link: https://www.youtube.com/watch?v=Bwas7stYIxQ