Invited review: Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains

被引:42
作者
Henryon, M. [1 ]
Berg, P. [2 ,3 ]
Sorensen, A. C. [4 ]
机构
[1] Danish Agr & Food Council, Pig Res Ctr, DK-1609 Copenhagen, Denmark
[2] Univ Western Australia, Sch Anim Biol, Nedlands, WA 6009, Australia
[3] NordGen, Nord Genet Resource Ctr, N-1431 As, Norway
[4] Aarhus Univ, Ctr Quantitat Genet & Gen, Dept Mol Biol & Genet, DK-8830 Tjele, Denmark
关键词
Animal breeding; Breeding plans; Genomic selection; Inbreeding; Decision framework; GENOTYPING STRATEGIES; CONTRIBUTION SELECTION; DYNAMIC SELECTION; PREDEFINED RATE; DATA SETS; WIDE; PREDICTION; ACCURACY; LIVESTOCK; CONSERVATION;
D O I
10.1016/j.livsci.2014.06.016
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
We argue that animal-breeding schemes need well-designed breeding plans to maximise long-term genetic gains from genomic information. Genomic information has been implemented in livestock breeding schemes with ad hoc breeding plans, suggesting that the potential benefits of genomic information are not being fully exploited. Breeding schemes need well-designed breeding plans to exploit the benefits of genomic information for two reasons. First, there are several components of breeding schemes with genomic information that impact on long-term genetic gains. Second, these components interact, which implies that breeding schemes need to optimise components simultaneously in order to maximise long-term genetic gains. Designing breeding plans that optimise components simultaneously is a complex task. In more cases than not, breeding schemes, their components, and interactions between these components do not allow optimum breeding plans to be designed by mere reasoning. We recommend using decision frameworks to design breeding plans for schemes that use genomic information: testing sound hypotheses by designing and executing controlled experiments using decision tools, such as mathematical-statistical models. These decision frameworks enable us to design optimum breeding plans by providing an objective and theoretical basis to make and validate breeding decisions, enabling us to understand the underlying mechanisms of breeding schemes with genomic information, and allowing us to test the practical implementation of breeding decisions against theoretical models. Genomic information is an exciting prospect for animal breeding, and there is clearly an important role for breeding plans that maximise long-term genetic gains in breeding schemes using genomic information. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:38 / 47
页数:10
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