Accuracy of genomic within-family selection in aquaculture breeding programmes
In aquaculture breeding programmes, selection within families cannot be applied for traits that cannot be recorded on the candidates (e.g.;disease resistance or fillet quality). However, this problem can be overcome if genomic evaluation is used. Within-family genomic evaluation has been proposed for these programmes as large family sizes are available and substantial levels of linkage disequilibrium (LD) within families can be attained with a limited number of markers even in populations in global linkage equilibrium. Here, we compare by computer simulation (i) within-family and population-wide LD; and (ii) the accuracy of within-family genomic selection when genomic evaluations are carried out either at the population level or within families. The population simulated was composed by a varying number of families of full-sibs (half for training and half for testing). The results indicate that, to practice within-family selection, performing the genomic evaluation separately for each family using only molecular information from the family could be recommended for populations either in linkage equilibrium or with a low level of disequilibrium. © 2017 Blackwell Verlag GmbH
Main Authors: | , , , |
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Format: | journal article biblioteca |
Language: | English |
Published: |
Wiley
2017
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Subjects: | Accuracy, Aquaculture, Genomic selection, Linkage disequilibrium, Within-family selection, |
Online Access: | http://hdl.handle.net/20.500.12792/4529 http://hdl.handle.net/10261/294011 |
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Summary: | In aquaculture breeding programmes, selection within families cannot be applied for traits that cannot be recorded on the candidates (e.g.;disease resistance or fillet quality). However, this problem can be overcome if genomic evaluation is used. Within-family genomic evaluation has been proposed for these programmes as large family sizes are available and substantial levels of linkage disequilibrium (LD) within families can be attained with a limited number of markers even in populations in global linkage equilibrium. Here, we compare by computer simulation (i) within-family and population-wide LD; and (ii) the accuracy of within-family genomic selection when genomic evaluations are carried out either at the population level or within families. The population simulated was composed by a varying number of families of full-sibs (half for training and half for testing). The results indicate that, to practice within-family selection, performing the genomic evaluation separately for each family using only molecular information from the family could be recommended for populations either in linkage equilibrium or with a low level of disequilibrium. © 2017 Blackwell Verlag GmbH |
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