Literature DB >> 17433243

Within-family marker-assisted selection for aquaculture species.

Anna K Sonesson1.   

Abstract

A within-family marker-assisted selection scheme was designed for typical aquaculture breeding schemes, where most traits are recorded on sibs of the candidates. Here, sibs of candidates were tested for the trait and genotyped to establish genetic marker effects on the trait. BLUP breeding values were calculated, including information of the markers (MAS) or not (NONMAS). These breeding values were identical for all family members in the NONMAS schemes, but differed between family members in the MAS schemes, making within-family selection possible. MAS had up to twice the total genetic gain of the corresponding NONMAS scheme. MAS was somewhat less effective when heritability increased from 0.06 to 0.12 or when the frequency of the positive allele was <0.5. The relative efficiency of MAS was higher for schemes with more candidates, because of larger fullsib family sizes. MAS was also more efficient when male:female mating ratio changed from 1:1 to 1:5 or when the QTL explained more of the total genetic variation. Four instead of two markers linked to the QTL increased genetic gain somewhat. There was no significant difference in polygenic genetic gain between MAS and NONMAS for most schemes. The rates of inbreeding were lower for MAS than NON-MAS schemes, because fewer full-sibs were selected by MAS.

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Year:  2007        PMID: 17433243      PMCID: PMC2682828          DOI: 10.1186/1297-9686-39-3-301

Source DB:  PubMed          Journal:  Genet Sel Evol        ISSN: 0999-193X            Impact factor:   4.297


  10 in total

1.  Differential growth-related gene expression in abalone (Haliotis midae).

Authors:  Mathilde van der Merwe; Paolo Franchini; Rouvay Roodt-Wilding
Journal:  Mar Biotechnol (NY)       Date:  2011-04-29       Impact factor: 3.619

2.  Testing strategies for genomic selection in aquaculture breeding programs.

Authors:  Anna K Sonesson; Theo H E Meuwissen
Journal:  Genet Sel Evol       Date:  2009-06-30       Impact factor: 4.297

3.  Genome-wide association study (GWAS) for growth rate and age at sexual maturation in Atlantic salmon (Salmo salar).

Authors:  Alejandro P Gutierrez; José M Yáñez; Steve Fukui; Bruce Swift; William S Davidson
Journal:  PLoS One       Date:  2015-03-10       Impact factor: 3.240

4.  A low-marker density implementation of genomic selection in aquaculture using within-family genomic breeding values.

Authors:  Marie Lillehammer; Theo H E Meuwissen; Anna K Sonesson
Journal:  Genet Sel Evol       Date:  2013-10-15       Impact factor: 4.297

Review 5.  Genomic Selection in Aquaculture: Application, Limitations and Opportunities With Special Reference to Marine Shrimp and Pearl Oysters.

Authors:  Kyall R Zenger; Mehar S Khatkar; David B Jones; Nima Khalilisamani; Dean R Jerry; Herman W Raadsma
Journal:  Front Genet       Date:  2019-01-23       Impact factor: 4.599

Review 6.  Challenges and Solutions to Viral Diseases of Finfish in Marine Aquaculture.

Authors:  Kizito K Mugimba; Denis K Byarugaba; Stephen Mutoloki; Øystein Evensen; Hetron M Munang'andu
Journal:  Pathogens       Date:  2021-05-30

7.  A dense genetic linkage map for common carp and its integration with a BAC-based physical map.

Authors:  Lan Zhao; Yan Zhang; Peifeng Ji; Xiaofeng Zhang; Zixia Zhao; Guangyuan Hou; Linhe Huo; Guiming Liu; Chao Li; Peng Xu; Xiaowen Sun
Journal:  PLoS One       Date:  2013-05-21       Impact factor: 3.240

8.  A high-resolution genetic linkage map and QTL fine mapping for growth-related traits and sex in the Yangtze River common carp (Cyprinus carpio haematopterus).

Authors:  Xiu Feng; Xiaomu Yu; Beide Fu; Xinhua Wang; Haiyang Liu; Meixia Pang; Jingou Tong
Journal:  BMC Genomics       Date:  2018-04-02       Impact factor: 3.969

Review 9.  Fishing Into the MicroRNA Transcriptome.

Authors:  Marcos E Herkenhoff; Arthur C Oliveira; Pedro G Nachtigall; Juliana M Costa; Vinicius F Campos; Alexandre W S Hilsdorf; Danillo Pinhal
Journal:  Front Genet       Date:  2018-03-19       Impact factor: 4.599

Review 10.  Genomic Tools and Selective Breeding in Molluscs.

Authors:  Christopher M Hollenbeck; Ian A Johnston
Journal:  Front Genet       Date:  2018-07-18       Impact factor: 4.599

  10 in total

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