strategies for implementing genomic selection in family-based aquaculture breeding schemes double haploid sib test populations策略实现基因组选择家庭养殖双单倍体育种方案sib测试数量.pdfVIP
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strategies for implementing genomic selection in family-based aquaculture breeding schemes double haploid sib test populations策略实现基因组选择家庭养殖双单倍体育种方案sib测试数量
Nirea et al. Genetics Selection Evolution 2012, 44:30 Ge n e t i c s /content/44/1/30 Se l e c t i o n Evolution RESEARCH Open Access Strategies for implementing genomic selection in family-based aquaculture breeding schemes: double haploid sib test populations 1* 2 1,3 1 Kahsay G Nirea , Anna K Sonesson , John A Woolliams and Theo HE Meuwissen Abstract Background: Simulation studies have shown that accuracy and genetic gain are increased in genomic selection schemes compared to traditional aquaculture sib-based schemes. In genomic selection, accuracy of selection can be maximized by increasing the precision of the estimation of SNP effects and by maximizing the relationships between test sibs and candidate sibs. Another means of increasing the accuracy of the estimation of SNP effects is to create individuals in the test population with extreme genotypes. The latter approach was studied here with creation of double haploids and use of non-random mating designs. Methods: Six alternative breeding schemes were simulated in which the design of the test population was varied: test sibs inherited maternal (Mat), paternal (Pat) or a mixture of maternal and paternal (MatPat) double haploid genomes or test sibs were obtained by maximum coancestry mating (MaxC), minimum coancestry mating (MinC), or random (RAND) mating. Three thousand test sibs and 3000 candidate sibs were genotyped. The test sibs were recorded for a trait that could no
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