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| Registros recuperados : 27 | |
| 23. |  | ERNST, O.; BENTANCUR, O.; SIRI, G.; FRANCO, J.; LAZBAL, E. Nivel de adopción y situación de la siembra directa en establecimientos de producción lechera In: SCARLATO, G.; BUXEDAS, M.; FRANCO, J.; PERNAS, A. Adopción y demandas de investigación y difusión en siembra directa: encuestas a la agricultura y lechería del suroeste de Uruguay. Montevideo (Uruguay): INIA, 2001. p. 107-133 (Serie FPTA-INIA ; 06) Proyecto FPTA 131. Período de ejecución: Jun.2000-Nov.2000| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
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| 25. | | MAZZILLI, S.; BONILLA, C.; SIRI, G.; ARBELETCHE, P.; RUBIO, V.; BASIGALUZ, P.; TAKS, J.; GARCÍA, M.; COBAS, P.; MONDELLI, M.P.; ASTIGARRAGA, L.; CRUZ, G.; PICASSO, V.; URUGUAY. CENTRO INTERDISCIPLINARIO DE RESPUESTA AL CAMBIO Y VARIABILIDAD CLIMÁTICA (CIRCVC) Sensibilidad y capacidad adaptativa de la agricultura de secano y el arroz frente al cambio climático: resultado [parcial] del proyecto: TCP/URU/3302 Nuevas Políticas para la Adaptación de la Agricultura al Cambio Climático. Montevideo, UY: FAO/MGAP, 2013. 63 p. (Clima de Cambios: Nuevos Desafíos de Adaptación en Uruguay, 5).| Biblioteca(s): INIA La Estanzuela. |
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| 26. | | MAZZILLI, S.; SIRI, G.; ARBELETCHE, P.; RUBIO, V.; BASIGALUZ, P.; TAKS, J.; GARCÍA, M.; CRUZ, G.; ASTIGARRAGA, L.; PICASSO, V.; URUGUAY. CENTRO INTERDISCIPLINARIO DE RESPUESTA AL CAMBIO Y VARIABILIDAD CLIMÁTICA (CIRCVC) Sensibilidad y capacidad adaptativa de los agro-ecosistemas [sic] frente a los efectos del cambio climático: 3.4 agricultura de secano. In: OYHANTÇABAL, W.; SANCHO, D.; GALVÁN, M. (Ed.). Resultado del proyecto: TCP/URU/3302 Nuevas Políticas para la Adaptación de la Agricultura al Cambio Climático. Montevideo, UY: FAO-MGAP, 2013. p. 154-172. (Clima de Cambios: Nuevos Desafíos de Adaptación en Uruguay, Compilado)| Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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| 27. | | SAWCHIK, J.; SIRI, G.; AYALA, W.; BARRIOS, E.; BUSTAMANTE, M.; CERIANI, M.; GUTIERREZ, F.; MOSQUEIRA, J.; OTAÑO, C.; PÉREZ, M.; PIÑEIRO, G.; PINTO, P.; TERRA, J.A.; ZARZA, R. El sistema agrícola bajo amenaza: ¿qué aportan los cultivos de cobertura y/o las pasturas cortas? In: Ribeiro, A.; Barbazán, M., eds. Simposio Nacional de Agricultura, 4; Encuentro de la SUCS, 7; Encuentro Regional de Políticas de la Conservación de Suelos. (2015, Paysandú, UY). Buscando el camino para la intensificación sostenible para la agricultura. Paysandú: Facultad de Agronomía, 2015. p. 149-168.| Biblioteca(s): INIA Treinta y Tres. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
13/11/2015 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
FRAGOMENI, B.O.; LOURENCO, D.A.L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T.J.; MIZTAL, I. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Journal of Dairy Science, 2015, v.98, no.6, p.4090-4094. OPEN ACCESS. |
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ISSN : |
0022-0302 |
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DOI : |
10.3168/jds.2014-9125 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received November 18, 2014 / Accepted March 13, 2015 / Published online: April 8, 2015. |
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Contenido : |
ABSTRACT.
The purpose of this study was to evaluate the accuracy of genomic selection in single-step genomic BLUP (ssGBLUP) when the inverse of the genomic relationship matrix (G) is derived by the "algorithm for proven and young animals" (APY). This algorithm implements genomic recursions on a subset of "proven" animals. Only a relationship matrix for animals treated as "proven" needs to be inverted, and the extra costs of adding animals treated as "young" are linear. Analyses involved 10,102,702 final scores on 6,930,618 Holstein cows. Final score, which is a composite of type traits, is popular trait in the United States and was easily available for this study. A total of 100,000 animals with genotypes were used in the analyses and included 23,000 sires (16,000 with >5 progeny), 27,000 cows, and 50,000 young animals. Genomic EBV (GEBV) were calculated with a regular inverse of G, and with the G inverse approximated by APY. Animals in the proven subset included only sires (23,000), sires + cows (50,000), only cows (27,000), or sires with >5 progeny (16,000). The correlations of GEBV with APY and regular GEBV for young genotyped animals were 0.994, 0.995, 0.992, and 0.992, respectively Later, animals in the proven subset were randomly sampled from all genotyped animals in sets of 2,000, 5,000, 10,000, 15,000, and 20,000; each sample was replicated 4 times. Respective correlations were 0.97 (5,000 sample), 0.98 (10,000 sample), and 0.99 (20,000 sample), with minimal difference between samples of the same size. Genomic EBV with APY were accurate when the number of animals used in the subset is between 10,000 and 20,000, with little difference between the ways of creating the subset. Due to the approximately linear cost of APY, ssGBLUP with APY could support any number of genotyped animals without affecting accuracy.
© 2015 American Dairy Science Association. MenosABSTRACT.
The purpose of this study was to evaluate the accuracy of genomic selection in single-step genomic BLUP (ssGBLUP) when the inverse of the genomic relationship matrix (G) is derived by the "algorithm for proven and young animals" (APY). This algorithm implements genomic recursions on a subset of "proven" animals. Only a relationship matrix for animals treated as "proven" needs to be inverted, and the extra costs of adding animals treated as "young" are linear. Analyses involved 10,102,702 final scores on 6,930,618 Holstein cows. Final score, which is a composite of type traits, is popular trait in the United States and was easily available for this study. A total of 100,000 animals with genotypes were used in the analyses and included 23,000 sires (16,000 with >5 progeny), 27,000 cows, and 50,000 young animals. Genomic EBV (GEBV) were calculated with a regular inverse of G, and with the G inverse approximated by APY. Animals in the proven subset included only sires (23,000), sires + cows (50,000), only cows (27,000), or sires with >5 progeny (16,000). The correlations of GEBV with APY and regular GEBV for young genotyped animals were 0.994, 0.995, 0.992, and 0.992, respectively Later, animals in the proven subset were randomly sampled from all genotyped animals in sets of 2,000, 5,000, 10,000, 15,000, and 20,000; each sample was replicated 4 times. Respective correlations were 0.97 (5,000 sample), 0.98 (10,000 sample), and 0.99 (20,000 sample), with minimal differe... Presentar Todo |
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Palabras claves : |
ANIMALIA; GENOMIC RECURSION; GENOMIC SELECTION; SINGLE-STEP GENOMIC BLUP. |
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Thesagro : |
BLUP; MEJORAMIENTO GENETICO ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5183/1/Aguilar-I.-2015.-Jr.DairyScience-v.984-p.4090-4094.pdf
https://www.journalofdairyscience.org/article/S0022-0302(15)00238-6/pdf
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Marc : |
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260 $c2015
500 $aArticle history: Received November 18, 2014 / Accepted March 13, 2015 / Published online: April 8, 2015.
520 $aABSTRACT. The purpose of this study was to evaluate the accuracy of genomic selection in single-step genomic BLUP (ssGBLUP) when the inverse of the genomic relationship matrix (G) is derived by the "algorithm for proven and young animals" (APY). This algorithm implements genomic recursions on a subset of "proven" animals. Only a relationship matrix for animals treated as "proven" needs to be inverted, and the extra costs of adding animals treated as "young" are linear. Analyses involved 10,102,702 final scores on 6,930,618 Holstein cows. Final score, which is a composite of type traits, is popular trait in the United States and was easily available for this study. A total of 100,000 animals with genotypes were used in the analyses and included 23,000 sires (16,000 with >5 progeny), 27,000 cows, and 50,000 young animals. Genomic EBV (GEBV) were calculated with a regular inverse of G, and with the G inverse approximated by APY. Animals in the proven subset included only sires (23,000), sires + cows (50,000), only cows (27,000), or sires with >5 progeny (16,000). The correlations of GEBV with APY and regular GEBV for young genotyped animals were 0.994, 0.995, 0.992, and 0.992, respectively Later, animals in the proven subset were randomly sampled from all genotyped animals in sets of 2,000, 5,000, 10,000, 15,000, and 20,000; each sample was replicated 4 times. Respective correlations were 0.97 (5,000 sample), 0.98 (10,000 sample), and 0.99 (20,000 sample), with minimal difference between samples of the same size. Genomic EBV with APY were accurate when the number of animals used in the subset is between 10,000 and 20,000, with little difference between the ways of creating the subset. Due to the approximately linear cost of APY, ssGBLUP with APY could support any number of genotyped animals without affecting accuracy. © 2015 American Dairy Science Association.
650 $aBLUP
650 $aMEJORAMIENTO GENETICO ANIMAL
653 $aANIMALIA
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773 $tJournal of Dairy Science, 2015$gv.98, no.6, p.4090-4094. OPEN ACCESS.
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