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Registros recuperados : 224 | |
141. | | MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LEGARRA, A.; VAN RADEN, P.M.; LAWLOR, T.J. Methods to approximate reliabilities in single-step genomic evaluation. Journal of Dairy Science, 2013, v.96, no.1, p.647-654. OPEN ACCESS. Article history: Received April 24, 2012. / Accepted September 18, 2012.Biblioteca(s): INIA Las Brujas. |
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142. | | CIAPPESONI, G.; NAVAJAS, E.; BAPTISTA, R.; AGUILAR, I.; PERAZA, P.; CARRACELAS, B.; DE BARBIERI, I. Proyecto SMARTER. INIA ya está en el Mundial de la Genética Ovina. Producción Animal. Revista INIA Uruguay, Marzo 2022, no.68, p.15-18. (Revista INIA; 68).Biblioteca(s): INIA Las Brujas. |
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143. | | LOURENCO, D.; TSURUTA, S.; AGUILAR, I.; MASUDA, Y.; BERMANN, M.; LEGARRA, A.; MISZTAL, I. Recent updates in the BLUPF90 software suite. [366]. Part 19 - Methods and tools: software and computing strategies. In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_366 1530-1533. Article history: Published online: February 9, 2023. -- Corresponding author: D. Lourenco, email: danilino@uga.eduBiblioteca(s): INIA Las Brujas. |
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147. | | NAVAJAS, E.; RAVAGNOLO, O.; AGUILAR, I.; CIAPPESONI, G.; PERAZA, P.; DALLA RIZZA, M.; MONTOSSI, F. Selección genómica animal: quién, cómo y dónde. ln: INIA TACUAREMBÓ. UNIDAD DE BIOTECNOLOGÍA INIA. Jornada técnica. Jornada de Agrobiotecnología INIA, 15 NOVIEMBRE, Tacuarembó, Biotecnología para el sector productivo: situación actual y perspectivas. Tacuarembó (Uruguay): INIA, 2012. p. 17-19 (INIA Serie Actividades de Difusión; 702) INIA TacuarembóBiblioteca(s): INIA Tacuarembó. |
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148. | | MISZTAL, I.; AGUILAR, I.; TSURUTA, S.; SÁNCHEZ, J.P.; ZUMBACH, B. Studies on heat stress in dairy cattle and pigs. Volume Special topics: Animal breeding and the environmental challenges - Lecture Sessions, 0625. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0625.Biblioteca(s): INIA Las Brujas. |
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150. | | LOURENCO, D.; LEGARRA, A.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; MISZTAL, I. Single-step genomic evaluations from theory to practice: using snp chips and sequence data in blupf90. Genes, July 2020. Volume 11, Issue 7, Article number 790, Pages 1-32. Open Access. Doi: https://doi.org/10.3390/genes11070790 Article history: Received: 19 June 2020 / Revised: 3 July 2020 / Accepted: 6 July 2020 / Published: 14 July 2020.
(This article belongs to the Special Issue Genomic Prediction Methods for Sequencing Data):...Biblioteca(s): INIA Las Brujas. |
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151. | | LOURENCO, D.A.L.; MISZTAL, I.; WANG, H.; AGUILAR, I.; TSURUTA, S.; BERTRAND, J.K. Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. Journal of Animal Science, 2013, v.91, no.9, p.4090-4098. Article history: Published online July 26, 2013.
This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National...Biblioteca(s): INIA Las Brujas. |
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152. | | LADO, B.; VÁZQUEZ, D.; QUINCKE, M.; SILVA, P.; AGUILAR, I.; GUTIÉRREZ, L. Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality. [Original article]. Theoretical and Applied Genetics, 1 December 2018, Volume 131, Issue 12, pp. 2719-2731. OPEN ACCESS. Article history: Received: 29 January 2018 / Accepted: 10 September 2018 / Published online: 19 September 2018.
Supplementary materials.
Acknowledgements: We express our appreciation for the effort of the technical personnel of INIA La...Biblioteca(s): INIA Las Brujas. |
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153. | | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP. Genetics, Selection, Evolution : GSE, 2022, Volume 54, Issue 1, Pages 66. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-022-00752-4 Article history: Received 22 March 2022; Accepted 23 August 2022; Published 27 September 2022.Biblioteca(s): INIA Las Brujas. |
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154. | | MISZTAL, I.; AGUILAR, I.; LEGARRA, A.; JOHNSON, D.; TSURUTA, S.; LAWLOR, T. J. A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation. Volume Methods and tools: Software and bioinformatics - Lecture Sessions, 0050. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0050. Acknowledgements: This study was partially funded by the Holstein Association, Smithfield Premium Genetics, and AFRI grants 2009-65205-05665 and 2010-65205-20366 from the USDA NIFA Animal Genome Program.Biblioteca(s): INIA Las Brujas. |
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156. | | FRAGOMENI, B.O.; LOURENCO, D.A.L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; MISZTAL, I. Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses - a simulation study. Journal of Animal Breeding and Genetics, 2015, v.132, no.5, p. 340-345.Biblioteca(s): INIA Las Brujas. |
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157. | | AGUILAR, I.; MISZTAL, I.; JOHNSON, D. L.; LEGARRA, A.; TSURUTA, S.; LAWLOR, T. J. Uso de información genómica en evaluaciones genéticas. Agrociencia Uruguay, 2010, v. 14, no. 3, p. 43-47. Agrociencia, Nro especial: Congreso Asociación Uruguaya de Producción Animal, 3., 4-5 Noviembre 2010, Montevideo, UY: INIA, Facultad de Agronomía, SMVU.Biblioteca(s): INIA Las Brujas. |
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158. | | LOURENCO, D.A.L.; MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LAWLOR, T.J.; FORNI, S.; WELLER, J.I. Are evaluations on young genotyped animals benefiting from the past generations?. Journal of Dairy Science, 2014, v.97, no.6, p.3930-3942. OPEN ACCESS Article history: Received November 26, 2013. // Accepted February 11, 2014. OPEN ACCESSBiblioteca(s): INIA Las Brujas. |
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159. | | MOTTA, R. R.; SILVA, F. F.; LOPES, P. S.; TEMPELMAN, R. J.; SOLLERO, B. P.; AGUILAR, I.; CARDOSO, F. F. Analyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle. Animal, 2018, volume 12, Issue 2, pages 205-214. OPEN ACCESS. doi: https://doi.org/10.1017/S1751731117001562 Article history: Received 12 December 2016; Accepted 22 May 2017; Published online: 13 July 2017.
Corresponding author: R.R. Mota, Gembloux Agro-Bio Tech Faculty, TERRA Teaching and Research Centre, University of Liège, B-5030 Gembloux,...Biblioteca(s): INIA Las Brujas. |
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160. | | LEMA, O.M.; BRITO, G.; CLARIGET, J.; PEREZ, E.; LA MANNA, A.; RAVAGNOLO, O.; AGUILAR, I.; MONTOSSI, F. Dos años de evaluación de ganancia diaria invernal de terneros con paternidad conocida sobre la recría y terminación.[Presentación oral]. In: CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL, 38., 2015. Resúmenes. Santa Rosa, La Pampa, AR: ASAS/AAPA, 2015Biblioteca(s): INIA Treinta y Tres. |
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Registros recuperados : 224 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
29/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
RAVAGNOLO, O.; AGUILAR, I.; CROWLEY, J. J.; PRAVIA, M.I.; LEMA, O.M.; MACEDO, F.; SCOTT, S.; NAVAJAS, E. |
Afiliación : |
OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; J.J. CROWLEY, Canadian Beef Breeds Council, Calgary, Alberta, Canada; Livestock Gentec, University of Alberta, Edmonton, Canada; MARIA ISABEL PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR MARIO LEMA QUEIJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO LIBER MACEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; S. SCOTT, Canadian Hereford Association, Calgary, Alberta, Canada; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Accuracy of genomic predictions of residual feed intake in Hereford with Uruguayan and Canadian training populations. |
Complemento del título : |
Volume: Electronic Poster Session - Species - Bovine (beef) 1, p. 723. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. |
Páginas : |
6 p. |
Idioma : |
Inglés |
Contenido : |
SUMMARY.
Dataset from Canadian and Uruguayan training populations were joined to analyse improvement of predictability for RFI. Three training populations where defined, URY (only data from Uruguay, 731), CAN (only data from Canada, 1168) and TOTAL (joint dataset, 1899). Genealogical information from the two countries was merged based on the international identification and cross reference list, with the pedigree file resulting in 17289 animals.
The demands for livestock products are increasing, and beef production seems not to be an exception. This implies a challenge to beef production that has to increase productivity without increasing area or environmental footprint (a finite commodity), increasing costs (competing in disadvantage with chicken and pigs) or lowering product quality (its main advantage).
The objective of present study was to compare the accuracy of genomic predictions for RFI based on national and bi-national training populations. |
Palabras claves : |
Accuracy; Beef cattle; BEEF PRODUCTION; Feed efficiency; Genomic selection; Training population. |
Thesagro : |
ALIMENTACION ANIMAL; GANADO DE CARNE. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15398/1/accuracy-genomic-predictions-residual-feed-intake-hereford-uruguayan-and-canadian-training.pdf
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Marc : |
LEADER 01939nam a2200301 a 4500 001 1061876 005 2021-03-31 008 2018 bl uuuu u01u1 u #d 100 1 $aRAVAGNOLO, O. 245 $aAccuracy of genomic predictions of residual feed intake in Hereford with Uruguayan and Canadian training populations.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018.$c2018 300 $a6 p. 520 $aSUMMARY. Dataset from Canadian and Uruguayan training populations were joined to analyse improvement of predictability for RFI. Three training populations where defined, URY (only data from Uruguay, 731), CAN (only data from Canada, 1168) and TOTAL (joint dataset, 1899). Genealogical information from the two countries was merged based on the international identification and cross reference list, with the pedigree file resulting in 17289 animals. The demands for livestock products are increasing, and beef production seems not to be an exception. This implies a challenge to beef production that has to increase productivity without increasing area or environmental footprint (a finite commodity), increasing costs (competing in disadvantage with chicken and pigs) or lowering product quality (its main advantage). The objective of present study was to compare the accuracy of genomic predictions for RFI based on national and bi-national training populations. 650 $aALIMENTACION ANIMAL 650 $aGANADO DE CARNE 653 $aAccuracy 653 $aBeef cattle 653 $aBEEF PRODUCTION 653 $aFeed efficiency 653 $aGenomic selection 653 $aTraining population 700 1 $aAGUILAR, I. 700 1 $aCROWLEY, J. J. 700 1 $aPRAVIA, M.I. 700 1 $aLEMA, O.M. 700 1 $aMACEDO, F. 700 1 $aSCOTT, S. 700 1 $aNAVAJAS, E.
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