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Trend of bias in prediction of genomic estimated breeding values due to selective genotyping in genomic selection schemes in consecutive generations

Credit to Download: 1 | Page Numbers 7 | Abstract Views: 35
Year: 2019
COI code: JR_KLST-7-2_007
Paper Language: English

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Authors Trend of bias in prediction of genomic estimated breeding values due to selective genotyping in genomic selection schemes in consecutive generations

  Seyyed Hasan Hafezian - Department of Animal Science, Faculty of Animal and Aquatic Science, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
  Jabar Jamali - Department of Animal Science, Faculty of Animal and Aquatic Science, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
  Mohsen Gholizadeh - Department of Animal Science, Faculty of Animal and Aquatic Science, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
  Alireza Ehsani - Department of Animal Science, Tarbiat Modares University, Tehran, Iran.

Abstract:

The aim of this study was to investigate the trend of bias in genomic estimated breeding values (GEBVs) arising from selective genotyping of the candidate population in an ongoing selection scheme. The bias was calculated as the regression of true breeding values (TBVs) on GEBVs. A simulation study was performed under two scenarios with selection intensities (SI) of 0.798 and 1.755 for three traits with heritability (h2) of 0.1, 0.25 and 0.4 in 10 consecutive generations. Regression of TBVs on GEBVs was close to one for the first generation when selective genotyping was random, and it continuously receded from one as selection shifted to choose animals with high EBVs from generations 2 to 10. Biasedness became larger with increased SI and decreased h2. Further, biasedness increased over the generations but the rate of change in biasedness decreased dramatically after the second generation and became almost steady after generation 4 which may be due to Bulmer effect. The findings showed that scaling down the GEBVs, using a scale parameter, might help removing biasedness in generation 4 onwards.

Keywords:

genomic selection, Selective genotyping, bias

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COI code: JR_KLST-7-2_007

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Hafezian, Seyyed Hasan; Jabar Jamali; Mohsen Gholizadeh & Alireza Ehsani, 2019, Trend of bias in prediction of genomic estimated breeding values due to selective genotyping in genomic selection schemes in consecutive generations, Journal of livestock science & technology 7 (2), https://www.civilica.com/Paper-JR_KLST-JR_KLST-7-2_007.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Hafezian, Seyyed Hasan; Jabar Jamali; Mohsen Gholizadeh & Alireza Ehsani, 2019)
Second and more: (Hafezian; Jamali; Gholizadeh & Ehsani, 2019)
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Type: state university
Paper No.: 5642
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