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| Registros recuperados : 140 | |
| 62. |  | MONTOSSI, F.; GUTIERREZ, D.; PRAVIA, M.I.; PORCILE, M.; PORCILE, V.; JAURENA, M.; AYALA, W. Caracterización del componente pasturas y forrajes en predios del GIPROCAR II: disponibilidad, crecimiento, composición botánica y valor nutritivo. In: MONTOSSI, F. (Ed.). Invernada de precisión: Pasturas, Calidad de Carne, Genética, Gestión Empresarial e Impacto Ambiental (GIPROCAR II) Montevideo (UY): INIA, 2013. p. 69-107 (Serie Técnica; 211)| Biblioteca(s): INIA Treinta y Tres. |
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| 63. | | JAURENA, M.; CONDON, F.; ANTUNEZ, J.; DIAZ, S.; ALBORNOZ, A.; VEROLO, S.; GUTIERREZ, C. Caracterización inicial de germoplasma de Bromus Auleticus en Uruguay. ln: INIA Tacuarembó. Unidad Experimental Glencoe. Día de campo, setiembre 2011, Paysandú, Uruguay. Propuestas tecnológicas para el incremento de la productividad, la valorización y el ingreso económico para sistemas ganaderos de basalto. Tacuarembó (Uruguay): INIA, 2011. p. 19-21 (INIA Serie Actividades de Difusión ; 657)| Biblioteca(s): INIA Tacuarembó. |
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| 64. | | CARRIQUIRY, R.; FRADE, S.; JAURENA, M.; URIARTE, G.; ARMAND UGON, P.; GONZÁLEZ, I.; FALCON, A. Caracterización de la nutrición mineral en establecimientos ganaderos. [Resumen]. In: CONGRESO ASOCIACIÓN URUGUAYA DE PRODUCCIÓN ANIMAL (6º, Marzo, 2018, Tacuarembó, Uruguay). Resúmenes. Tacuarembó: AUPA, 2018. p. 80| Biblioteca(s): INIA Tacuarembó. |
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| 65. | | JAURENA, M.; DE BARBIERI, I.; LEZAMA, F.; AYALA, W.; MONTOSSI, F.; RIVAS, M. Atributos de pasturas naturales sobre suelos superficiales de Basalto con cargas contrastantes de capones ln: Reunión del grupo técnico en forrajeras del Cono Sur, 22., 2008, Minas, Uruguay Bioma campos: innovando para mantener su sustentabilidad y competitividad. Memorias. Minas (Uruguay): INIA; FAO; PROCISUR, 2008. p. 199 Versión impresa y en CD ROM Instituto Nacional de Investigación Agropecuaria, Uruguay; FAO; PROCISUR| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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| 68. | | CONDON, F.; FRANCO, R.; TISCORNIA, G.; JAURENA, M.; REYNO, R.; BEYHAUT, E. Colecta de especies nativas en áreas de campo natural en riesgo por expansión de la agricultura. [Resumen]. In: SIMPÓSIO DE RECURSOS GENÉTICOS PARA A AMÉRICA LATINA E CARIBE, 10., 2015, Bento Gonçalves. Recursos genéticos no século 21: de Vavilov a Svalbard. Anais... [s.l.]: Sociedade Brasileira de Recursos Genéticos, 2015. p.110.| Biblioteca(s): INIA Las Brujas. |
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| 69. | | VIÑOLES, C.; JAURENA, M.; DE BARBIERI, I.; DO CARMO, M.; MONTOSSI, F. Efecto de la alimentación preferencial del ternero y la dotación animal sobre la productividad del rodeo de cria pastoreando campo natural. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. 215-224 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 71. | | JAURENA, M.; DE BARBIERI, I.; MONTOSSI, F.; CACERES, J.; ROVIRA, F.; DIAZ, S.; PEREZ GOMAR, E. Diez años de investigación y desarrollo en producción y calidad de lanas finas y superfinas para los sistemas laneros de la región de basalto: II. Sección 3. Evaluación de diferentes niveles de asignación de forraje de campo natural de basalto superficial sobre características de la pastura y producción y calidad de lanas finas. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. p. 340-345 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó. |
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| 72. | | JAURENA, M.; LEZAMA, F.; SALVO, L.; CARDOZO, G.; AYALA, W.; TERRA, J.A.; NABINGER, C. The dilemma of improving native grasslands by overseeding legumes: production intensification or diversity conservation. Rangeland Ecology & Management, 2016, v. 69, no. 1 p. 35-42. Article history: Received 25 November 2014; Accepted 23 September 2015.| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 73. | | VIÑOLES, C.; JAURENA, M.; DE BARBIERI, I.; DO CARMO, M.; MONTOSSI, F. Effect of creep feeding and stocking rate on the productivity of beef cattle grazing grasslands. New Zealand Journal of Agricultural Research, 22 October 2013, v. 56, no. 4, p. 279-287. http://dx.doi.org/10.1080/00288233.2013.840320 History article: Received 17 January 2013; accepted 15 August 2013. Acknowledgements The authors would like to acknowledge the staff of the Research unit Glencoe, especially Pablo Cuadro and the graduate students of the Veterinary Faculty...| Biblioteca(s): INIA Tacuarembó. |
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| 74. | | HERNANDEZ, S.; REBUFFO, M.; ARRIVILLAGA, S.; JAURENA, M.; LABANDERA, C.; RISSO, D.; CILIUTI, J. Evaluation of the genotype-environment interaction in the establishment of Lotus uliginosus (Schkuhr) with soil-cores. Lotus Newsletter, 2005, Volume 35, Issue 1, pages 120-130.| Biblioteca(s): INIA La Estanzuela. |
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| 75. | | JAURENA, M.; GIORELLO, D.; PEREZ GOMAR, E.; DO CARMO, M.; CARDOZO, G. Efectos de corto plazo de la interacción riego-fertilización en la producción y composición de un campo natural de basalto en Uruguay: II.38. In: CONGRESO NACIONAL, 6.; CONGRESO DEL MERCOSUR, 3.; JORNADA TÉCNICA DE PRODUCTORES [DE MANEJO DE PASTIZALES], 2., 2013, Santa Rosa, La Pampa, AR. Los pastizales y el hombre, producir y conservar. Anguil: INTA/UNLPam, 2013. p. 232.| Biblioteca(s): INIA La Estanzuela. |
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| 76. | | JAURENA, M.; ANTUNEZ, J.; DIAZ, S.; ZAGO, R.; RIBAS, C.; RODRIGUEZ, F. Efectos de la fertilización NP en el contenido de fósforo del forraje del campo natural. In: INIA TACUAREMBÓ. JORNADA DE DIVULGACIÓN, 6 DE FEBRERO, 2015, TAMBORES, URUGUAY. Manejo de la fertilización de pasturas, forrajes y campo natural bajo riego suplementario. Tacuarembó (Uruguay): INIA, 2015. p. 21-34 (Serie Actividades de Difusión; 742)| Biblioteca(s): INIA Tacuarembó. |
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| 77. | | JAURENA, M.; GIORELLO, D.; ANTUNEZ, J.; DIAZ, S.; SOSA, M.; ZAGO, R. Efectos de la fertilización NP en la evolución de la cobertura de gramíneas nativas perennes en condiciones de riego y secano. In: INIA TACUAREMBÓ. JORNADA DE DIVULGACIÓN, 6 DE FEBRERO, 2015, TAMBORES, URUGUAY. Manejo de la fertilización de pasturas, forrajes y campo natural bajo riego suplementario. Tacuarembó (Uruguay): INIA, 2015. p. 27-33 (Serie Actividades de Difusión; 742)| Biblioteca(s): INIA Tacuarembó. |
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| 80. | | JAURENA, M.; ANTUNEZ, J.; DIAZ, S.; ZAGO, R.; SOSA, M.; WUNDERLICH, E.; JUSTO, A. Evolución del índice verde del campo natural en condiciones de riego y secano. In: INIA TACUAREMBÓ. JORNADA DE DIVULGACIÓN, 6 DE FEBRERO, 2015, TAMBORES, URUGUAY. Manejo de la fertilización de pasturas, forrajes y campo natural bajo riego suplementario. Tacuarembó (Uruguay): INIA, 2015. p. 25-26 (Serie Actividades de Difusión; 742)| Biblioteca(s): INIA Tacuarembó. |
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| Registros recuperados : 140 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
23/05/2016 |
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Actualizado : |
11/12/2018 |
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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 : |
MASUDA, Y.; MISZTAL, I.; TSURUTA, S.; LEGARRA, A.; AGUILAR, I.; LOURENCO, D.A.L.; FRAGOMENI, B.O.; LAWLOR, T.J. |
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Afiliación : |
Department of Animal and Dairy Science, University of Georgia; Department of Animal and Dairy Science, University of Georgia; Department of Animal and Dairy Science, University of Georgia; INRA (Institut National de la Recherche Agronomique); IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Animal and Dairy Science, University of Georgia; Department of Animal and Dairy Science, University of Georgia; Holstein Association USA Inc. |
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Título : |
Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Journal of Dairy Science, 2016, v.99, no.3, p.1968-1974. OPEN ACCESS |
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DOI : |
10.3168/jds.2015-10540 |
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Idioma : |
Inglés |
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Notas : |
OPEN ACCESS. Received 19 October 2015, Accepted 1 December 2015, Available online 21 January 2016 |
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Contenido : |
ABSTRACT.
The objectives of this study were to develop and evaluate an efficient implementation in the computation of the inverse of genomic relationship matrix with the recursion algorithm, called the algorithm for proven and young (APY), in single-step genomic BLUP. We validated genomic predictions for young bulls with more than 500,000 genotyped animals in final score for US Holsteins. Phenotypic data included 11,626,576 final scores on 7,093,380 US Holstein cows, and genotypes were available for 569,404 animals. Daughter deviations for young bulls with no classified daughters in 2009, but at least 30 classified daughters in 2014 were computed using all the phenotypic data. Genomic predictions for the same bulls were calculated with single-step genomic BLUP using phenotypes up to 2009. We calculated the inverse of the genomic relationship matrix View the MathML source based on a direct inversion of genomic relationship matrix on a small subset of genotyped animals (core animals) and extended that information to noncore animals by recursion. We tested several sets of core animals including 9,406 bulls with at least 1 classified daughter, 9,406 bulls and 1,052 classified dams of bulls, 9,406 bulls and 7,422 classified cows, and random samples of 5,000 to 30,000 animals. Validation reliability was assessed by the coefficient of determination from regression of daughter deviation on genomic predictions for the predicted young bulls. The reliabilities were 0.39 with 5,000 randomly chosen core animals, 0.45 with the 9,406 bulls, and 7,422 cows as core animals, and 0.44 with the remaining sets. With phenotypes truncated in 2009 and the preconditioned conjugate gradient to solve mixed model equations, the number of rounds to convergence for core animals defined by bulls was 1,343; defined by bulls and cows, 2,066; and defined by 10,000 random animals, at most 1,629. With complete phenotype data, the number of rounds decreased to 858, 1,299, and at most 1,092, respectively. Setting up View the MathML source for 569,404 genotyped animals with 10,000 core animals took 1.3 h and 57 GB of memory. The validation reliability with APY reaches a plateau when the number of core animals is at least 10,000. Predictions with APY have little differences in reliability among definitions of core animals. Single-step genomic BLUP with APY is applicable to millions of genotyped animals.
© 2016, THE AUTHORS. Published by FASS and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). MenosABSTRACT.
The objectives of this study were to develop and evaluate an efficient implementation in the computation of the inverse of genomic relationship matrix with the recursion algorithm, called the algorithm for proven and young (APY), in single-step genomic BLUP. We validated genomic predictions for young bulls with more than 500,000 genotyped animals in final score for US Holsteins. Phenotypic data included 11,626,576 final scores on 7,093,380 US Holstein cows, and genotypes were available for 569,404 animals. Daughter deviations for young bulls with no classified daughters in 2009, but at least 30 classified daughters in 2014 were computed using all the phenotypic data. Genomic predictions for the same bulls were calculated with single-step genomic BLUP using phenotypes up to 2009. We calculated the inverse of the genomic relationship matrix View the MathML source based on a direct inversion of genomic relationship matrix on a small subset of genotyped animals (core animals) and extended that information to noncore animals by recursion. We tested several sets of core animals including 9,406 bulls with at least 1 classified daughter, 9,406 bulls and 1,052 classified dams of bulls, 9,406 bulls and 7,422 classified cows, and random samples of 5,000 to 30,000 animals. Validation reliability was assessed by the coefficient of determination from regression of daughter deviation on genomic predictions for the predicted young bulls. The reliabilities were 0.39 with 5,000 rand... Presentar Todo |
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Palabras claves : |
FINAL SCORE; GENOMIC EVALUATION; GENOMIC RELATIONSHIP MATRIX. |
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Thesagro : |
SsGBLUP; TORO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12160/1/1-s2.0-S0022030216000825-main.pdf
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Marc : |
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100 1 $aMASUDA, Y.
245 $aImplementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals.$h[electronic resource]
260 $c2016
500 $aOPEN ACCESS. Received 19 October 2015, Accepted 1 December 2015, Available online 21 January 2016
520 $aABSTRACT. The objectives of this study were to develop and evaluate an efficient implementation in the computation of the inverse of genomic relationship matrix with the recursion algorithm, called the algorithm for proven and young (APY), in single-step genomic BLUP. We validated genomic predictions for young bulls with more than 500,000 genotyped animals in final score for US Holsteins. Phenotypic data included 11,626,576 final scores on 7,093,380 US Holstein cows, and genotypes were available for 569,404 animals. Daughter deviations for young bulls with no classified daughters in 2009, but at least 30 classified daughters in 2014 were computed using all the phenotypic data. Genomic predictions for the same bulls were calculated with single-step genomic BLUP using phenotypes up to 2009. We calculated the inverse of the genomic relationship matrix View the MathML source based on a direct inversion of genomic relationship matrix on a small subset of genotyped animals (core animals) and extended that information to noncore animals by recursion. We tested several sets of core animals including 9,406 bulls with at least 1 classified daughter, 9,406 bulls and 1,052 classified dams of bulls, 9,406 bulls and 7,422 classified cows, and random samples of 5,000 to 30,000 animals. Validation reliability was assessed by the coefficient of determination from regression of daughter deviation on genomic predictions for the predicted young bulls. The reliabilities were 0.39 with 5,000 randomly chosen core animals, 0.45 with the 9,406 bulls, and 7,422 cows as core animals, and 0.44 with the remaining sets. With phenotypes truncated in 2009 and the preconditioned conjugate gradient to solve mixed model equations, the number of rounds to convergence for core animals defined by bulls was 1,343; defined by bulls and cows, 2,066; and defined by 10,000 random animals, at most 1,629. With complete phenotype data, the number of rounds decreased to 858, 1,299, and at most 1,092, respectively. Setting up View the MathML source for 569,404 genotyped animals with 10,000 core animals took 1.3 h and 57 GB of memory. The validation reliability with APY reaches a plateau when the number of core animals is at least 10,000. Predictions with APY have little differences in reliability among definitions of core animals. Single-step genomic BLUP with APY is applicable to millions of genotyped animals. © 2016, THE AUTHORS. Published by FASS and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
650 $aSsGBLUP
650 $aTORO
653 $aFINAL SCORE
653 $aGENOMIC EVALUATION
653 $aGENOMIC RELATIONSHIP MATRIX
700 1 $aMISZTAL, I.
700 1 $aTSURUTA, S.
700 1 $aLEGARRA, A.
700 1 $aAGUILAR, I.
700 1 $aLOURENCO, D.A.L.
700 1 $aFRAGOMENI, B.O.
700 1 $aLAWLOR, T.J.
773 $tJournal of Dairy Science, 2016$gv.99, no.3, p.1968-1974. OPEN ACCESS
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