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Trabajos presentados en congresos/eventos - In: American Dairy Science Association (ASDA), Annual Meeting, June 16-19, 2024, West Palm Beach, Florida. Journal of Dairy Science, 2024, Volume 107, Supplement 1, Abstracts, p.18.
2024
Efficient implementation of random regression models for dairy cattle genomic evaluations. [1141 - abstract]. Autores: ÁLVAREZ MUNERA, A. , BERMANN, M. , AGUILAR, I. , BAUER, J. , SPLÍCHAL, J. , MISZTAL, I. , LOURENCO, D.

Sistemas de producción: Lechero

Fuente: In:American Dairy Science Association (ASDA), Annual Meeting, June 16-19, 2024, West Palm Beach, Florida. Journal of Dairy Science, 2024, Volume 107, Supplement 1, Abstracts, p.18.

RESUMEN:

ABSTRACT.- Random regression models (RRM) with ssGBLUP are used worldwide for dairy cattle genetic evaluations. This study aimed to improve the efficiency of implementing RRM with ssGBLUP for national dairy evaluations using the BLUPF90 software suite and to test a method to approximate reliabilities with genomic information.