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ProjectPromote Scaling-Up of Innovative Rice-Fish Farming and Climate-Resilient Tilapia Pond Culture Practices for Blue Growth in Asia - TCP/RAS/3603 2020
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No results found.In the past two decades, Asia has been responsible forapproximately 90 percent of global aquacultureproduction. Global and regional demand for fish isexpected to increase significantly in coming decades as aresult of population increase and potential changes inpeople’s dietary habits. Further growth of aquaculture inAsia is crucial to meeting this demand. It has beenprojected that Asian aquaculture production will need toincrease by 60 percent by 2030.In order to support the sustainable growth of aquaculturein the Asia and Pacific Region, FAO began to implement aRegional Initiative on Sustainable Intensification ofAquaculture for Blue Growth in early 2014. Addressingtwo major challenges faced by the aquaculture industry inthe region - the need to improve the use of naturalresources while increasing the productivity and resilienceof small farmers in the context of climate change andother natural and socioeconomic uncertainties - theinitiative supported field projects in the participatingcountries to promote innovative aquaculture farmingpractices, including demonstration projects of rice-fishfarming in Indonesia and rice-shrimp farming in Viet Nam,and a country project to build the resilience of tilapiafarmers in the Philippines. All the field projectsimplemented under the initiative have achievedremarkable results in terms of upgrading farming practicesand generating knowledge and experiences that can beshared with other countries in the region.The current project was formulated to support the scaling-up of the innovative aquaculture farming systems andpractices proven to be successful under the regionalinitiative. Its aim was to disseminate and demonstrateinnovative rice-fish farming and climate-resilient tilapiapond culture practices in the five focus countries and tostrengthen human capacity and the enabling environmentfor the scaling-up -
Book (series)Training on rice-fish farming in high schools in Madagascar's highlands: one way to boost fish production and improve food security 2017
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Book (stand-alone)Improving the performance of tilapia farming under climate variation: perspective from bioeconomic modelling
FAO Fisheries and Aquaculture Technical Paper No. 608
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No results found.Tilapia is the world’s most popular aquaculture species, farmed mostly in earthen ponds. Experience in China, the largest tilapia farming country, is used to develop and calibrate a bioeconomic model of intensive tilapia pond culture. The model is used to simulate the impacts of climate, technical and/or economic factors on farming performance and examines the performance of various farming arrangements under different conditions. The simulation results indicate that: (i) an increase in feed price, an increase in mortality, or a decrease in fish price significantly reduces profitability, whereas an increase in the cost of seed, labour, rent, electricity or water management has smaller impacts on profitability; (ii) considering the impact of water temperature on fish growth, the profitability of a production cycle starting at the optimum timing may be twice as high as one starting at the worst possible time; (iii) farming arrangements that maximize the profit of individual fish crops may not maximize overall profitability because of path dependency of farming performance; (iv) optimal farming arrangements that maximize overall profitability can significantly improve economic performance; (v) given no price discrepancy against small-size fish, harvesting at about 300 g in two-year-five-crop arrangements could increase overall enterprise profitability by up to 50 percent compared with harvesting at > 500 g in one-year-two-crop arrangements; and (vi) a two-tier farming system that separates nursing and outgrowing ponds could allow one-year-three-crop arrangements that enhance profitability by up to nearly 90 percent compared with the one-year-two-crop arrangements. With more refined information on fish growth under different farming conditions, the model could become a decision-making tool to help farmers design optimal farming arrangements.
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