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Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present?

View ORCID ProfileVinícius Silva Junqueira, Daniela Lourenco, Yutaka Masuda, Fernando Flores Cardoso, Paulo Sávio Lopes, Fabyano Fonseca e Silva, Ignacy Misztal
doi: https://doi.org/10.1101/2022.01.19.476983
Vinícius Silva Junqueira
*Departamento de Zootecnia, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
2Breeding Research Department, Bayer Crop Science, Uberlândia, Minas Gerais, Brazil
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  • ORCID record for Vinícius Silva Junqueira
  • For correspondence: viniciussilva.junqueira@bayer.com
Daniela Lourenco
†Department of Dairy and Animal Science, University of Georgia, Athens, Georgia, United States
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Yutaka Masuda
†Department of Dairy and Animal Science, University of Georgia, Athens, Georgia, United States
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Fernando Flores Cardoso
‡Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Pecuária Sul, Bagé, Rio Grande do Sul, Brasil
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Paulo Sávio Lopes
*Departamento de Zootecnia, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
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Fabyano Fonseca e Silva
*Departamento de Zootecnia, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
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Ignacy Misztal
†Department of Dairy and Animal Science, University of Georgia, Athens, Georgia, United States
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Article Information

doi 
https://doi.org/10.1101/2022.01.19.476983
History 
  • January 21, 2022.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Vinícius Silva Junqueira*,1,2,
  2. Daniela Lourenco†,
  3. Yutaka Masuda†,
  4. Fernando Flores Cardoso‡,
  5. Paulo Sávio Lopes*,
  6. Fabyano Fonseca e Silva* and
  7. Ignacy Misztal†
  1. 2Breeding Research Department, Bayer Crop Science, Uberlândia, Minas Gerais, Brazil
  2. *Departamento de Zootecnia, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
  3. †Department of Dairy and Animal Science, University of Georgia, Athens, Georgia, United States
  4. ‡Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Pecuária Sul, Bagé, Rio Grande do Sul, Brasil
  1. ↵1Corresponding author: viniciussilva.junqueira{at}bayer.com
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Posted January 21, 2022.
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Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present?
Vinícius Silva Junqueira, Daniela Lourenco, Yutaka Masuda, Fernando Flores Cardoso, Paulo Sávio Lopes, Fabyano Fonseca e Silva, Ignacy Misztal
bioRxiv 2022.01.19.476983; doi: https://doi.org/10.1101/2022.01.19.476983
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Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present?
Vinícius Silva Junqueira, Daniela Lourenco, Yutaka Masuda, Fernando Flores Cardoso, Paulo Sávio Lopes, Fabyano Fonseca e Silva, Ignacy Misztal
bioRxiv 2022.01.19.476983; doi: https://doi.org/10.1101/2022.01.19.476983

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