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Moving beyond managing realized genomic relationship in long-term genomic selection

(2017) GENETICS. 206(2). p.1127-1138
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Abstract
Long-term genomic selection (GS) requires strategies that balance genetic gain with population diversity, to sustain progress for traits under selection, and to keep diversity for future breeding. In a simulation model for a recurrent selection scheme, we provide the first head-to-head comparison of two such existing strategies: genomic optimal contributions selection (GOCS), which limits realized genomic relationship among selection candidates, and weighted genomic selection (WGS), which upscales rare allele effects in GS. Compared to GS, both methods provide the same higher long-term genetic gain and a similar lower inbreeding rate, despite some inherent limitations. GOCS does not control the inbreeding rate component linked to trait selection, and, therefore, does not strike the optimal balance between genetic gain and inbreeding. This makes it less effective throughout the breeding scheme, and particularly so at the beginning, where genetic gain and diversity may not be competing. For WGS, truncation selection proved suboptimal to manage rare allele frequencies among the selection candidates. To overcome these limitations, we introduce two new set selection methods that maximize a weighted index balancing genetic gain with controlling expected heterozygosity (IND-HE) or maintaining rare alleles (IND-RA), and show that these outperform GOCS and WGS in a nearly identical way. While requiring further testing, we believe that the inherent benefits of the IND-HE and IND-RA methods will transfer from our simulation framework to many practical breeding settings, and are therefore a major step forward toward efficient long-term genomic selection.
Keywords
genomic selection, long-term gain, diversity, optimization, set selection, DIFFERENTIAL EVOLUTION, GENETIC GAIN, OPTIMIZATION, PREDICTION, RELIABILITY, IMPUTATION, DIVERSITY, ALGORITHM, INFERENCE, GENOTYPES

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Please use this url to cite or link to this publication:

Chicago
De Beukelaer, Herman, Yvonne Badke, Veerle Fack, and Geert De Meyer. 2017. “Moving Beyond Managing Realized Genomic Relationship in Long-term Genomic Selection.” Genetics 206 (2): 1127–1138.
APA
De Beukelaer, H., Badke, Y., Fack, V., & De Meyer, G. (2017). Moving beyond managing realized genomic relationship in long-term genomic selection. GENETICS, 206(2), 1127–1138.
Vancouver
1.
De Beukelaer H, Badke Y, Fack V, De Meyer G. Moving beyond managing realized genomic relationship in long-term genomic selection. GENETICS. 2017;206(2):1127–38.
MLA
De Beukelaer, Herman et al. “Moving Beyond Managing Realized Genomic Relationship in Long-term Genomic Selection.” GENETICS 206.2 (2017): 1127–1138. Print.
@article{8524081,
  abstract     = {Long-term genomic selection (GS) requires strategies that balance genetic gain with population diversity, to sustain progress for traits under selection, and to keep diversity for future breeding. In a simulation model for a recurrent selection scheme, we provide the first head-to-head comparison of two such existing strategies: genomic optimal contributions selection (GOCS), which limits realized genomic relationship among selection candidates, and weighted genomic selection (WGS), which upscales rare allele effects in GS. Compared to GS, both methods provide the same higher long-term genetic gain and a similar lower inbreeding rate, despite some inherent limitations. GOCS does not control the inbreeding rate component linked to trait selection, and, therefore, does not strike the optimal balance between genetic gain and inbreeding. This makes it less effective throughout the breeding scheme, and particularly so at the beginning, where genetic gain and diversity may not be competing. For WGS, truncation selection proved suboptimal to manage rare allele frequencies among the selection candidates. To overcome these limitations, we introduce two new set selection methods that maximize a weighted index balancing genetic gain with controlling expected heterozygosity (IND-HE) or maintaining rare alleles (IND-RA), and show that these outperform GOCS and WGS in a nearly identical way. While requiring further testing, we believe that the inherent benefits of the IND-HE and IND-RA methods will transfer from our simulation framework to many practical breeding settings, and are therefore a major step forward toward efficient long-term genomic selection.},
  author       = {De Beukelaer, Herman and Badke, Yvonne and Fack, Veerle and De Meyer, Geert},
  issn         = {0016-6731},
  journal      = {GENETICS},
  language     = {eng},
  number       = {2},
  pages        = {1127--1138},
  title        = {Moving beyond managing realized genomic relationship in long-term genomic selection},
  url          = {http://dx.doi.org/10.1534/genetics.116.194449},
  volume       = {206},
  year         = {2017},
}

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