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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
21/02/2014 |
Actualizado : |
18/12/2018 |
Tipo de producción científica : |
Artículos Indexados |
Autor : |
MISZTAL, I.; FRAGOMENI, B.; LOURENÇO, D. A. L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T. J. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Efficient inversion of genomic relationship matrix by the Algorithm for Proven and Young (APY). |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p. 111-116. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and
GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular inverse. The inverse with APY is computed from G, which in turn is derived from single nucleotide polymorphism (SNP) BLUP and indirectly from BayesB or other SNP-based prediction methods. Strategies like SNP selection, SNP weighting, and use of causative SNPs from sequence analysis can be incorporated in APY without additional cost. The APY removes size limitations from ssGBLUP and facilitates a model with a complex genetic architecture. MenosABSTRACT.
The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and
GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular... Presentar Todo |
Palabras claves : |
BIG POPULATION; GENOMIC RECURSION; INVERSION; SINGLE-STEP METHOD. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12204/1/1387-2387-1-PB.pdf
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Marc : |
LEADER 02658naa a2200253 a 4500 001 1012458 005 2018-12-18 008 2015 bl uuuu u00u1 u #d 100 1 $aMISZTAL, I. 245 $aEfficient inversion of genomic relationship matrix by the Algorithm for Proven and Young (APY).$h[electronic resource] 260 $c2015 520 $aABSTRACT. The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular inverse. The inverse with APY is computed from G, which in turn is derived from single nucleotide polymorphism (SNP) BLUP and indirectly from BayesB or other SNP-based prediction methods. Strategies like SNP selection, SNP weighting, and use of causative SNPs from sequence analysis can be incorporated in APY without additional cost. The APY removes size limitations from ssGBLUP and facilitates a model with a complex genetic architecture. 653 $aBIG POPULATION 653 $aGENOMIC RECURSION 653 $aINVERSION 653 $aSINGLE-STEP METHOD 700 1 $aFRAGOMENI, B. 700 1 $aLOURENÇO, D. A. L. 700 1 $aTSURUTA, S. 700 1 $aMASUDA, Y. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 700 1 $aLAWLOR, T. J. 773 $tInterbull Bulletin, 2015$gv. 49, p. 111-116.
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
25/10/2018 |
Actualizado : |
08/11/2018 |
Tipo de producción científica : |
Actividades de Difusión |
Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA). |
Título : |
Jornada de Porteras Abiertas en Lechería : un pie en el hoy y otro en el futuro. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
La Estanzuela, Colonia del Sacramento: INIA, octubre 2018. |
Páginas : |
21 p. |
Serie : |
(Serie Actividades de Difusión; 785). |
ISSN : |
1688-8258 |
Idioma : |
Español |
Notas : |
Programas de INIA participantes: Programa Nacional de Investigación Lechera; Programa Nacional de Investigación Pasturas; Plataforma de Salud Animal; Unidad de Comunicación y Transferencia. |
Contenido : |
Contenido: Parada Robot: sistema voluntario de ordeñe robotizado. Parada Reservas-Pasturas: criterios para la toma de decisiones de confección de reservas de gramíneas forrajeras (Fernando Lattanzi, Rodrigo Zarza,Eduardo Calistro,Peter Fernández,Personal de pasturas). Parada Reproducción:¿Es posible mejorar la eficiencia reproductiva? ¿Por dónde empezar? (Gustavo Desire Antunes Gastal,Caroline Silveira,Melissa Macías-Rioseco, Jéssica Tatiana Morales Piñeyrúa, Gianniti). Parada: proyecto 10-MIL Módulos de Intensificación Lechería (Rocío Martínez, Alejandro Mendoza, Sofía Stirling). |
Palabras claves : |
EFICIENCIA REPRODUCTIVA; INTENSIFICACION LECHERA; RESERVAS GRAMÍNEAS FORRAJERAS; RESERVAS PASTURAS; SISTEMA VOLUNTARIO DE ORDEÑE ROBOTIZADO. |
Thesagro : |
LECHERIA. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/11879/1/sad-lecheria-785-.pdf
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Marc : |
LEADER 01593nam a2200229 a 4500 001 1059244 005 2018-11-08 008 2018 bl uuuu u00u1 u #d 022 $a1688-8258 100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA). 245 $aJornada de Porteras Abiertas en Lechería$bun pie en el hoy y otro en el futuro.$h[electronic resource] 260 $aLa Estanzuela, Colonia del Sacramento: INIA, octubre 2018.$c2018 300 $a21 p. 490 $a(Serie Actividades de Difusión; 785). 500 $aProgramas de INIA participantes: Programa Nacional de Investigación Lechera; Programa Nacional de Investigación Pasturas; Plataforma de Salud Animal; Unidad de Comunicación y Transferencia. 520 $aContenido: Parada Robot: sistema voluntario de ordeñe robotizado. Parada Reservas-Pasturas: criterios para la toma de decisiones de confección de reservas de gramíneas forrajeras (Fernando Lattanzi, Rodrigo Zarza,Eduardo Calistro,Peter Fernández,Personal de pasturas). Parada Reproducción:¿Es posible mejorar la eficiencia reproductiva? ¿Por dónde empezar? (Gustavo Desire Antunes Gastal,Caroline Silveira,Melissa Macías-Rioseco, Jéssica Tatiana Morales Piñeyrúa, Gianniti). Parada: proyecto 10-MIL Módulos de Intensificación Lechería (Rocío Martínez, Alejandro Mendoza, Sofía Stirling). 650 $aLECHERIA 653 $aEFICIENCIA REPRODUCTIVA 653 $aINTENSIFICACION LECHERA 653 $aRESERVAS GRAMÍNEAS FORRAJERAS 653 $aRESERVAS PASTURAS 653 $aSISTEMA VOLUNTARIO DE ORDEÑE ROBOTIZADO
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