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No Thumbnail AvailableProjectAquaculture development and coordination programme. Fish feed technology. Lectures presented at the FAO/UNDP Training Course in Fish Feed Technology, Seattle, Washington, 9 October - 15 December 1978 1980
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No results found.The need for developing suitable feeds based on locally available inexpensive ingredients has been widely recognized. Since lack of trained personnel is the main constraint in the development of fish feed technology in developing countries, the FAO/UNDP Aquaculture Development and Coordination Programme (ADCP) organized a special training course in fish feed technology at the College of Fisheries, University of Washington, Seattle, with a view to forming a small corps of fish feed specialists wh o could then be the focal points for future feed development programmes in their respective countries. The first report of the training course was presented in the report ADCP /REP/79/8. This present volume represents the edited texts of lectures presented by different specialists. Some additional material has been included for more complete coverage of the subject. Together, these texts may be considered to constitute a manual on fish feed technology, even though they were not prepared for that purpose. Twenty-six papers are included, under the general headings: (1) Digestion, physiology and anatomy; (2) nutritional bioenergetics; (3) nutritional biochemistry; (4) feedstuffs; (5) feed formulation; (6) feed manufacturing technology; (7) practical diets; and (8) quality control. Appendices include conversion tables, electrical data, and details on pelletability of selective feedstuffs, pellet die specifications, and equipment requirements for an 8 ton an hour feed mill. -
Brochure, flyer, fact-sheetThe International FAO Antimicrobial Resistance Monitoring (InFARM) System and IT platform 2022
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No results found.One of the key elements to strengthen country capacity for surveillance and monitoring of antimicrobial resistance (AMR) and use (AMU) in food and agriculture is to provide a standardized approach to collecting, analyzing, interpreting, and sharing data. In recent years, various initiatives around the world have focused on and supported the generation of AMR surveillance data from the food and agriculture sector. However, data are often not analysed or used as a basis for decision-making. The main reasons for this are the lack of appropriate data management systems, a clear definition of roles and responsibilities in data reporting or the lack of trained experts able to carry out analysis and interpretation. Following the adoption of the FAO Action Plan on Antimicrobial Resistance 2021-2025 at the 166th Session of the FAO Council, the Organization committed to develop the building blocks that will stimulate national efforts to regularly generate and analyze reliable and comparable data on antimicrobial resistance in food and agriculture and AMU data in crops and plants. To this end, FAO has started developing a prototype for the International FAO Antimicrobial Resistance Monitoring (InFARM) IT platform in early 2022. FAO will work with an initial group of countries that will participate in the development and testing of the prototype of this data platform during 2022. Countries will be involved in pilot testing with their data. -
Book (series)Multiple frame agricultural surveys. Volume 1. Current surveys based on area and list sampling methods 1996
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No results found.Much of the required information for the agricultural sector, such as crop production, livestock inventories, and basic social and economic data, is obtained through periodic national, multi-purpose agricultural data collection programmes called "Current Agricultural Surveys". This manual describes the sample design, organization and implementation procedures for these current agricultural surveys using multiple frame probability sampling methods, which is a new methodology currently being adopted by many countries around the world. Specific case studies will be presented in Volume II. This handbook introduces the subject and describes the practical aspects of list and area frame construction and sample selection methods while recognizing the resource and specialized staff constraints faced by developing countries.
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