Project

Development of a SNP panel to improve the genetic resistance to Infectious Pancreatic Necrosis virus (IPNv) in salmon and trout

Goal: To discover, validate and implement SNP markers associated with IPN resistance for marker-assisted selection in salmon and trout

Updates
0 new
0
Recommendations
0 new
0
Followers
0 new
5
Reads
0 new
66

Project log

José M. Yáñez
added a research item
The aim of this study was to compare the accuracy of breeding values (EBVs) predicted using the traditional pedigree based Best Linear Unbiased Prediction (PBLUP) and the single-step genomic Best Linear Unbiased Prediction (ssGBLUP) for resistance against infectious pancreatic necrosis virus (IPNV) in rainbow trout. A total of 2278 animals were challenged against IPNV and 768 individuals were genotyped using 57 K single nucleotide polymorphism for rainbow trout. Accuracies for both methods were assessed using five-fold cross-validation. The heritabilities were higher for PBLUP compared to ssGBLUP. The ssGBLUP accuracies outperformed the PBLUP in 7 and 11% for days to death and binary survival, respectively. The ssGBLUP could be an alternative approach to improve the accuracy of breeding values for resistance against infectious pancreatic necrosis virus in rainbow trout, using information from genotyped and non-genotyped animals.
José M. Yáñez
added a project goal
To discover, validate and implement SNP markers associated with IPN resistance for marker-assisted selection in salmon and trout