Acronym NA
Category
Aquaculture
Title Utvikling av multivariate statistisk/genetiske metoder og modeller for økt avlsframgang på husdyr og fisk - Development of multivariate statistical / genetic methods and models for increased breeding progress on livestock and fish Programme National Programme
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National Coordinator Ina Andersen-Ranberg Coordinator email ina.ranberg@norsvin.no
Coordinator institution
NA
Institutions involved
NA
Start year 2008 End year 2011 Funding (€) € 290,000 Website https://prosjektbanken.forskningsradet.no/en/project/FORISS/186904?Kilde=FORISS&distribution=Ar&chart=bar&calcType=funding&Sprak=no&sortBy=date&sortOrder=desc&resultCount=30&offset=120&TemaEmne.2=Mat+-+Bl%C3%A5gr%C3%B8nn Summary In order to meet the market's requirements for the breeding material for both livestock and fish, constantly new characteristics of economic importance must be included in the breeding goals. As the finishing work has developed technologically, it has become very effective. Great progress for some traits can, due to unfavorable genetic relationships between traits, lead to a decline in others. These can often be characteristics related to health and animal welfare. In order to take care of the biological whole, it is always relevant to include this type of trait in the breeding goal. As a result, we get increasingly complex breeding goals with a number of characteristics. Many of the traits have low estimates of heritability and the breeding values that are calculated have low safety when using simple models. By developing statistical methods and models where all traits are included simultaneously in a multivariate analysis, we will be able to utilize estimates of genetic correlations to obtain more reliable breeding values. Several of the new features are complex in nature and require more advanced tea models. The complexity may be such that the phenotype must be decomposed into several genetic causal conditions such as maternal, paternal and direct effects. Another complexity may be that the trait is registered categorically while the underlying genetics are continuous. To overcome these challenges, significant R&D work is required in estimating both genetic and non-genetic variance components (genetic parameters). These models must be validated and last but not least, the new knowledge must be made applicable for practical utilization through further development and programming of software.
Keywords
Fish;
Genetic;
Selective breeding;
Marine Region
76
Not associated to marine areas
0
Marine Region Map
