Fecha/hora: 03/06/2024 22:29:20

Biblioteca(s): 	INIA Las Brujas.	
Fecha corriente: 	16/09/2014	
Fecha de la última actualización: 	23/10/2019	
Autoria: 	MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LEGARRA, A.; VAN RADEN, P.M.; LAWLOR, T.J.	
Afiliación: 	IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay.	
Título: 	Methods to approximate reliabilities in single-step genomic evaluation.	
Año de publicación: 	2013	
Fuente/Imprenta: 	Journal of Dairy Science, 2013, v.96, no.1, p.647-654. OPEN ACCESS.	
ISSN: 	0022-0302	
DOI: 	10.3168/jds.2012-5656	
Idioma: 	Inglés	
Notas: 	Article history:  Received April 24, 2012. /  Accepted September 18, 2012.	
Contenido: 	ABSTRACT.

Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by matrix inversion, but that is not feasible for large data sets. Two methods of approximating reliability were developed based on the decomposition of a function of reliability into contributions from records, pedigrees, and genotypes. Those contributions can be expressed in record or daughter equivalents. The first approximation method involved inversion of a matrix that contains inverses of the genomic relationship matrix and the pedigree relationship matrix for genotyped animals. The second approximation method involved only the diagonal elements of those inverses. The 2 approximation methods were tested with a simulated data set. The correlations between ssGBLUP and approximated contributions from genomic information were 0.92 for the first approximation method and 0.56 for the second approximation method; contributions were inflated by 62 and 258%, respectively. The respective correlations for reliabilities were 0.98 and 0.72. After empirical correction for inflation, those correlations increased to 0.99 and 0.89. Approximations of reliabilities of predictions by ssGBLUP are accurate and computationally feasible for populations with up to 100,000 genotyped animals. A critical part of the approximations is quality control of information from single nucleotide polymorphisms and proper scaling of the genomic relationship matrix. 
© 2013 American Dairy Science Association.	
Thesagro: 	GENETICA ANIMAL; MEJORAMIENTO GENETICO ANIMAL; MÉTODOS ESTADÍSTICOS.	
Categoría del tema: 	L10 Genética y mejoramiento animal	
URL: 	http://www.ainfo.inia.uy/digital/bitstream/item/3143/1/Aguilar-J.-2013.-Jr.Dairy-Sci.-v.961-p.647-654.pdf
http://www.journalofdairyscience.org/article/S0022-0302(12)00802-8/pdf	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (100072-1) - PXI - AP - DD - PP/JOURNAL OF DAIRY SCIENCE/2013 -  -  - DIS