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Capacity building for the development of selective breeding programs in Vietnam ─ special focus on global climate change and environmental sustainability

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The first rainbow trout farm in Vietnam was established through the joint efforts of Finnish expertise and Research Institute for Aquaculture No-1 (RIA-1) in Lao Cai Province in 2004. Despite the very rapid development and many achieved improvements in Vietnamese aquaculture (e.g. during the previous ICI-project (2010-2012), the production of cold water species and the number of fish farms has more than doubled, and the sector currently provides livelihood for thousands of people), many significant challenges still remain. The great opportunities of fish farming unfortunately may tempt great risk taking. In many cases around the world, good start in aquaculture has been followed by a great drop of the whole industry due disease epidemics. Developing countries at lower latitudes are found to be most prone and vulnerable for disease outbreaks in aquaculture. Furthermore, the climate change causes a particular challenge to the sector. Vietnam is estimated to be one of the world?s most vulnerable areas for the negative impacts due to the climate change.

Goals

In the current project, aim is to increase the changes to avoid disasters caused by diseases and weather conditions by building capacity to develop Vietnam?s own national selective breeding fish material adapted to local conditions, and to monitor and treat fish health issues.

Impact of research

The overall objective of the project is to support poverty alleviation and gender equality through strengthening the capacity of RIA-1, which enables RIA-1 to be in charge of sustainable development of freshwater aquaculture sector in Vietnam to meet the increasing challenges of achieving environmental sustainability and adapting to climate change.

Researcher in charge

Ahvonen Anssi, Finnish Game and Fisheries Research Institute
Contacts

Duration 2013 - 2017

Project phase: Completed

 

Source: FGFRI Projectnet

 

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