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Registros recuperados : 224 | |
141. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | 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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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
12/11/2015 |
Actualizado : |
09/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
LOURENCO, D.A.L.; FRAGOMENI, B.O.; TSURUTA, S.; AGUILAR, I.; ZUMBACH, B.; HAWKEN, R.J.; LEGARRA, A.; MISZTAL, I. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Accuracy of estimated breeding values with genomic information on males, females, or both: An example on broiler chicken. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Genetics Selection Evolution, 2015, v. 242, p. 47-56. OPEN ACCESS. |
DOI : |
10.1186/s12711-015-0137-1 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 14 October 2014 / Accepted: 22 June 2015 / Published: 02 July 2015. |
Contenido : |
ABSTRACT.
Background: As more and more genotypes become available, accuracy of genomic evaluations can potentially increase. However, the impact of genotype data on accuracy depends on the structure of the genotyped cohort. For populations such as dairy cattle, the greatest benefit has come from genotyping sires with high accuracy,
whereas the benefit due to adding genotypes from cows was smaller. In broiler chicken breeding programs, males have less progeny than dairy bulls, females have more progeny than dairy cows, and most production traits are recorded for both sexes. Consequently, genotyping both sexes in broiler chickens may be more advantageous than
in dairy cattle.
Methods: We studied the contribution of genotypes from males and females using a real dataset with genotypes on 15 723 broiler chickens. Genomic evaluations used three training sets that included only males (4648), only females (8100), and both sexes (12 748). Realized accuracies of genomic estimated breeding values (GEBV) were
used to evaluate the benefit of including genotypes for different training populations on genomic predictions of young genotyped chickens.
Results: Using genotypes on males, the average increase in accuracy of GEBV over pedigree-based EBV for males and females was 12 and 1 percentage points, respectively. Using female genotypes, this increase was 1 and 18 percentage points, respectively. Using genotypes of both sexes increased accuracies by 19 points for males and 20
points for females. For two traits with similar heritabilities and amounts of information, realized accuracies from cross-validation were lower for the trait that was under strong selection.
Conclusions: Overall, genotyping males and females improves predictions of all young genotyped chickens, regardless of sex. Therefore, when males and females both contribute to genetic progress of the population, genotyping both sexes may be the best option.
© 2015 Lourenco et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. MenosABSTRACT.
Background: As more and more genotypes become available, accuracy of genomic evaluations can potentially increase. However, the impact of genotype data on accuracy depends on the structure of the genotyped cohort. For populations such as dairy cattle, the greatest benefit has come from genotyping sires with high accuracy,
whereas the benefit due to adding genotypes from cows was smaller. In broiler chicken breeding programs, males have less progeny than dairy bulls, females have more progeny than dairy cows, and most production traits are recorded for both sexes. Consequently, genotyping both sexes in broiler chickens may be more advantageous than
in dairy cattle.
Methods: We studied the contribution of genotypes from males and females using a real dataset with genotypes on 15 723 broiler chickens. Genomic evaluations used three training sets that included only males (4648), only females (8100), and both sexes (12 748). Realized accuracies of genomic estimated breeding values (GEBV) were
used to evaluate the benefit of including genotypes for different training populations on genomic predictions of young genotyped chickens.
Results: Using genotypes on males, the average increase in accuracy of GEBV over pedigree-based EBV for males and females was 12 and 1 percentage points, respectively. Using female genotypes, this increase was 1 and 18 percentage points, respectively. Using genotypes of both sexes increased accuracies by 19 points for males and 20
points for fe... Presentar Todo |
Thesagro : |
POLLO DE ENGORDE. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5172/1/Aguilar-I.-2015.-GSE-p.47-56.pdf
https://gsejournal.biomedcentral.com/track/pdf/10.1186/s12711-015-0137-1
|
Marc : |
LEADER 03232nam a2200229 a 4500 001 1053861 005 2019-10-09 008 2015 bl uuuu u0uu1 u #d 024 7 $a10.1186/s12711-015-0137-1$2DOI 100 1 $aLOURENCO, D.A.L. 245 $aAccuracy of estimated breeding values with genomic information on males, females, or both$bAn example on broiler chicken.$h[electronic resource] 260 $aGenetics Selection Evolution, 2015, v. 242, p. 47-56. OPEN ACCESS.$c2015 500 $aArticle history: Received: 14 October 2014 / Accepted: 22 June 2015 / Published: 02 July 2015. 520 $aABSTRACT. Background: As more and more genotypes become available, accuracy of genomic evaluations can potentially increase. However, the impact of genotype data on accuracy depends on the structure of the genotyped cohort. For populations such as dairy cattle, the greatest benefit has come from genotyping sires with high accuracy, whereas the benefit due to adding genotypes from cows was smaller. In broiler chicken breeding programs, males have less progeny than dairy bulls, females have more progeny than dairy cows, and most production traits are recorded for both sexes. Consequently, genotyping both sexes in broiler chickens may be more advantageous than in dairy cattle. Methods: We studied the contribution of genotypes from males and females using a real dataset with genotypes on 15 723 broiler chickens. Genomic evaluations used three training sets that included only males (4648), only females (8100), and both sexes (12 748). Realized accuracies of genomic estimated breeding values (GEBV) were used to evaluate the benefit of including genotypes for different training populations on genomic predictions of young genotyped chickens. Results: Using genotypes on males, the average increase in accuracy of GEBV over pedigree-based EBV for males and females was 12 and 1 percentage points, respectively. Using female genotypes, this increase was 1 and 18 percentage points, respectively. Using genotypes of both sexes increased accuracies by 19 points for males and 20 points for females. For two traits with similar heritabilities and amounts of information, realized accuracies from cross-validation were lower for the trait that was under strong selection. Conclusions: Overall, genotyping males and females improves predictions of all young genotyped chickens, regardless of sex. Therefore, when males and females both contribute to genetic progress of the population, genotyping both sexes may be the best option. © 2015 Lourenco et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. 650 $aPOLLO DE ENGORDE 700 1 $aFRAGOMENI, B.O. 700 1 $aTSURUTA, S. 700 1 $aAGUILAR, I. 700 1 $aZUMBACH, B. 700 1 $aHAWKEN, R.J. 700 1 $aLEGARRA, A. 700 1 $aMISZTAL, I.
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