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Enhancing Efficiency and Traceability of Agricultural Value Chains in Mongolia through Innovations and ICTS - TCP/MON/3706









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    Project
    Support to Income Creation in Mongolia (Secim): Improving Local Dairy Processing Through Promoting Women - TCP/MON/3606 2020
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    Approximately 160 000 herder households in Mongoliaprocess milk from horse, cow, yak, camel and goats inisolated homesteads when nomadic camps are set up.These milk products are largely used at the household andlocal level. However, improving the quality and safety ofdairy products, as well as increasing their production,offers economic opportunities, particularly for womenfrom these rural communities. Notably, in many soums(districts), unemployment is high for women whoaccompany their children to school/education centres.Women are typically responsible for the preservation ofdairy products – they prepare a range of traditionalproducts, including yogurt, dried curds, fresh cheese andwhey, sour cream, cream, butter and fermented milk. Thelimited training available to these women and the generallack of innovation in dairy processing, however, meansthat these products are not up to date in terms of meetingfood standards, packaging and marketability. Additionally,the equipment, work space and storage methods used fordairy processing are suitable only for domesticconsumption. Hence, there is a requirement for improvingthe production and marketability of traditional dairyproducts. This can be achieved through the use of betterpractices in milk processing, dairy production andmarketing, as well as the introduction of higher qualityequipment and tools.
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    Food Loss and Waste Reduction through a Value Chain Development Approach to Transform Food Systems COVID-19 Response and Recovery - TCP/JAM/3804 2024
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    Contemporary food systems are presently falling short in their aim to provide nutritious and healthy food while contributing to inclusive and sustainable livelihoods. Despite the Caribbean region's potential to produce sufficient food for all, the prevalence of malnutrition, obesity, and diet related non communicable diseases is increasing. In Jamaica, this is further compounded by an approximate 30 percent of food loss and waste (FLW) within the agrifood system, caused by several challenges that were further aggravated by the COVID-19 pandemic. First, technical capacity gaps among stakeholders, including insufficient data collection and analysis mechanisms, hinder a comprehensive understanding of FLW throughout the agricultural value chain. Second, labour shortages caused by COVID-19 restrictions and transportation disruptions resulted in increased loss and waste, particularly for perishable agricultural produce. Third, biosecurity and safety measures are crucial in reducing food loss and waste. Implementing appropriate measures to prevent the transmission of diseases, including COVID-19, at each link in the value chain is necessary to ensure the safety of workers and minimize spoilage. Fourth, small farmers face challenges in terms of poor production and post harvest handling practices, as they lack the technical skills and capital to upgrade their operations, and there is limited capacity within the MoAFM to provide training and support.
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    Book (series)
    Report of the regional consultations on advancing end-to-end traceability in fish value chains
    Virtual meetings, September 2021 to January 2022
    2022
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    This is the final report of three regional consultations for Asia, Near East and North Africa, and Latin America held virtually between September 2021 and January 2022. The objective of the consultations was to deliberate on a draft guidance “Advancing end-to-end traceability along capture fisheries and aquaculture value chains”. The consultations confirmed the relevance and comprehensiveness of the proposed critical tracking events (CTEs) and key data elements (KDEs) in aquaculture and capture fisheries. They also highlighted that due consideration should be paid to small-scale producers, while recognizing equivalency of data and flexibility in data needs, particularly for developing countries.

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