Reference : An integrated view of technical, economic and social factors influencing sustainabiligy ...
Scientific congresses and symposiums : Paper published in a book
Life sciences : Animal production & animal husbandry
Life sciences : Genetics & genetic processes
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/21121
An integrated view of technical, economic and social factors influencing sustainabiligy of sixteen local European cattle breeds
English
Martin-Collado, D. [INIA (Madrid - Spain) > Mejora Genética Animal > > >]
Diaz, C. [INIA (Madrid - Spain) > Mejora Genética Animal > > >]
Choroszy, Z. [NRIAP ( Krakow - Poland) > > > >]
Duclos, D. [Institut de l'Elevage (Paris - France) > > > >]
Bay, Elodie [Faculté Universitaire des Sciences Agronomiques de Gembloux - FUSAGx > Unité de Zootechnie > > >]
Hiemstra, S. J. [CGN (Lelystad - The Netherlands) > > > >]
Kearney, F. [ICBF (Cork - Ireland) > > > >]
Mäki-Tanila, A. [MTT ( Jokioinen - Finland) > Agrifood Research > > >]
Viinalass, H. [EMÜ (Tartu - Estonia) > > > >]
Gandini, G. [UNIMI (Italy) > > > >]
Aug-2009
Book of Abstracts of the 60th Annual Meeting of the European Association for Animal Production
Wageningen Academic Publishers
77
No
International
978-90-8686-121-7
The Netherlands
60th Annual Meeting of the European Association for Animal Production
du 24 août 2009 au 27 août 2009
European Association for Animal Production
Barcelona
Spain
[en] SWOT ; EURECA ; local cattle breed ; Survey ; Dual Purpose Belgian Blue ; Dual Purpose Red and White
[en] This study aims to identify common patterns influencing dynamics and sustainability of 16 local European
cattle breeds from Belgium, Estonia, Finland, France, Holland, Ireland, Italy and Spain. A broad range of
factors related to technical (e.g. farm size, cows/ha, land ownership), economic (e.g. cattle importance
on farm and family income, type of market) and social (e.g. farmers and stakeholders attitude) aspects
were surveyed on a total of 401 farms. Discriminant Analysis has been used to study the implications that
heterogeneity within and across countries and breeds may have in making inferences in across country or
breed analyses. Thus, farms were classified according to country and breeds. Then the objective was to
evaluate how all factors available allow us to distinguish such classes. The analyses provided the percentage
of observations (farms) that should not be included in the pre-defined groups (country and breed) according
to the variables considered. When only economic variables were considered in the analyses, 36% and
59% of farms were incorrectly assigned to their country and breed, respectively. However, considering
technical variables the proportions went down to 33% and 45%. Finally, when both groups of variables
were considered 20% and 35% of farms were incorrectly assigned. To what extent these mismatches may
allow us to identify general patterns has to be evaluated.
Fonds Européen de Développement Régional - FEDER ; Région wallonne : Direction Générale opérationnelle de l'Agriculture, des Ressources Naturelles et de l'Environnement - DGARNE
EURECA
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/21121
http://www.eaap.org/Barcelona/Book_Abstracts.pdf

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