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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
21/02/2014 |
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Actualizado : |
18/12/2018 |
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Tipo de producción científica : |
Artículos Indexados |
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Autor : |
MISZTAL, I.; FRAGOMENI, B.; LOURENÇO, D. A. L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T. J. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Efficient inversion of genomic relationship matrix by the Algorithm for Proven and Young (APY). |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p. 111-116. |
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Idioma : |
Inglés |
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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 |
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Palabras claves : |
BIG POPULATION; GENOMIC RECURSION; INVERSION; SINGLE-STEP METHOD. |
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Asunto categoría : |
-- |
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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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| 29. |  | VEROCAI, M.; CASTRO, A.; HOFFMAN, E.; CASTRO, M. Evaluación Nacional de Cultivares, fuente de información para evaluar el impacto de años desfavorables. [presentación oral] En: Jornada Nacional de Cultivos de Invierno, 3ra. Canal You Tube: CREA Uruguay, 11-12 abril 2023. Organizaron: MNECCUY (Mesa Nacional de Entidades de Cebada Cervecera), CREA, MTO (Mesa Tecnológica de Oleaginosos), Mesa Nacional de Trigo. -- Coorganizaron: Facultad de Agronomía, INIA. -- Declarada de interés Ministerial: Ministerio de...| Tipo: Presentaciones Orales |
| Biblioteca(s): INIA Las Brujas. |
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| 32. | | FASSANA , C.N.; HOFFMAN , E.M.; BERGER, A.; ERNST, O. Nitrogen nutrition index at GS 3.3 is an effective tool to adjust nitrogen required to reach attainable wheat yield. [El índice de nutrición nitrogenada en GS 3.3 es una herramienta eficaz para ajustar el nitrógeno necesario para lograr el rendimiento de trigo alcanzable]. [O índice de nutrição de nitrogênio no GS 3.3 é uma ferramenta eficaz para ajustar o nitrogênio necessário para alcançar a produtividade de trigo atingível]. Plant production. Agrociencia Uruguay, 2022, Vol.26, number 2, e924. https://doi.org/10.31285/AGRO.26.924 -- OPEN ACCESS. Article history: Received 8 Jul 2021; Accepted 21 Jun 2022; Published 30 Aug 2022. -- Correspondence: Nicolás Fassana, fassana@fagro.edu.uy -- Editor: José A. Terra,
Instituto Nacional de Investigación Agropecuaria (INIA), Treinta y Tres,...| Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : Nacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 35. | | CASTRO, M.; HOFFMAN, E.; PÉREZ, O.; VIEGA, L. Variabilidad en la respuesta al estrés hídrico de cultivares de trigo en Uruguay. In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. p. 78-86. (INIA Serie Técnica; 241).| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA La Estanzuela. |
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| 36. | | CASTRO, M.; HOFFMAN, E.; PÉREZ, O.; VIEGA, L. Variabilidad en la respuesta al estrés hídrico de cultivares de trigo.[Presentación oral]. In: SEMINARIO INTERNACIONAL DE TRIGO, 2014, La Estanzuela, Colonia, UY. GERMÁN, S., et al. (Org.). 1914-2014, un siglo de mejoramiento de trigo en La Estanzuela: un valioso legado para el futuro. presentaciones; resúmenes. La Estanzuela, Colonia, UY: INIA, 2014.| Tipo: Presentaciones Orales |
| Biblioteca(s): INIA La Estanzuela. |
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| 37. | | HOFFMAN, E.; VIEGA, L.; GLISON, N.; CASTRO, A.; PEREYRA, S.; PÉREZ, C. Differential effects of spot blotch on photosynthesis and grain yield in two barley cultivars. European Journal of Plant Pathology, v. 139, n. 3, p. 471-480, 2014. Article history: Accepted: 12 February 2014 /Published online: 27 February 2014.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : B - 1 |
| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 37 | |
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