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| 2. |  | MENONI, M.; CASTRO, A.; GALLINO, J.P.; BONNECARRERE, V.; VIDAL, S. Buscando mejorar la calidad nutricional del grano de soja y aumentar su tamaño utilizando CRISPR/Cas9. 344. (resúmen) Conferencia 10. Mesa Edición genómica de los cultivos. Organiza SBBM (Sociedad de Bioquímica & Biología Molecular). In: Physiological Mini Reviews, 2022, volume 15, Special Issue: III (3er) Congreso Nacional de Biociencias Octubre 2022, Montevideo, Uruguay. p.55. Resumen publicado en las jornadas de BIOCIENCIAS: II Jornadas Binacionales Argentina-Uruguay; III Congreso Nacional 2022 "Ciencia para el desarrollo sustentable".| Biblioteca(s): INIA Las Brujas. |
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| 4. | | GALLINO, J.P.; RUIBAL, C.; CASARETTO, E.; FLEITAS, A.L.; BONNECARRERE, V.; BORSANI, O.; VIDAL, S. A dehydration-induced eukaryotic translation initiation factor iso4G identified in a slow wilting soybean cultivar enhances abiotic stress tolerance in Arabidopsis. Frontiers in Plant Science, 2018, v.9, Article number 262. (2 March 2018). OPEN ACCESS Article history: Received: 22 December 2017; Accepted: 14 February 2018; Published: 02 March 2018.| Biblioteca(s): INIA Las Brujas. |
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| 5. | | GALLINO, J. P.; CASTILLO, A.; CERETTA, S.; ESTEVES, P.; BONNECARRERE, V. A simple and inexpensive procedure to more quickly obtain new varieties in soybean. Crop Breeding and Applied Biotechnology, 2022, volume 22, Issue 1, e38212216. OPEN ACCESS. doi: https://doi.org/10.1590/1984-70332022v22n1a06 Article history: Received 24 May 2021; Accepted 12 Aug 2021; Published 30 Mar 2022; Publication in this collection 04 May 2022; Date of issue 2022.
Corresponding author: Gallino, J.P.; INIA, Estación Experimental "Wilson Ferreira...| Biblioteca(s): INIA Las Brujas. |
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| 6. | | VIDAL, S.; GALLINO, J.P.; RIVERO, Y.; RUIBAL, C.; FLEITAS, L.; CASTILLO, A.; CERETTA, S.; CASARETTO, E.; BORSANI, O. Biotecnología aplicada al mejoramiento genético de la soja. Montevideo (UY): INIA, 2018. 37 p. (Serie FPTA-INIA; 68) Proyecto FPTA-309: Biotecnología aplicada al mejoramiento genético de la soja. Período de ejecución: Mayo 2014-Noviembre 2017. Institución Ejecutora: Universidad de la República, Facultad de Ciencias. Responsable del Proyecto: Sabina Vidal.| Biblioteca(s): INIA Las Brujas. |
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| 7. | | ARRUABARRENA, A.; TASSANO, C.; MONESIGLIO, M.C.; TORRES, D.; GALLINO, J. P.; ROSAS, J.E.; DALLA RIZZA, M.; MENONI, M.; GIAMBIASI, M.; GARAYCOCHEA, S.; BONNECARRERE, V. Biotecnología vegetal en INIA: ciencia para el sector agropecuario. [Informe Especial]. Informe Especial. Revista INIA Uruguay, Junio 2025, no.81, p.58-78. (Revista INIA; 81). Funcionarios de biotecnología vegetal en INIA: Ana Arruabarrena, Ana Lucía Britos, Belén Bonilla, Candela Yorio, Carolina Tassano, Cecilia Monesiglio,
Daniela Dieppa, Diego Torres, Juan Pablo Gallino, Juan Rosas, Lauria Rogel, Marco Dalla...| Biblioteca(s): INIA Las Brujas. |
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| 8. | | BERGER, A.; BONNECARRERE, V.; BORSANI, O.; CASARETTO, E.; CASTILLO, A.; CASTRO, A.; CERETTA, S.; FLEITAS, L.; GALLINO, J.P.; GARAYCOCHEA, S.; IRIARTE, W.; KAVANOVÁ, M.; QUERO, G.; REY, E.; RUIBAL, C.; SIMONDI, S.; VIDAL, S. Aproximaciones genómicas, fisiológicas y de mejoramiento para incrementar la tolerancia a sequía en soja. In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA Las Brujas; Biotecnología. Jornada de Agrobiotecnología, X. Encuentro Nacional de REDBIO, II. Jornada técnica. Las Brujas, Canelones (UY): INIA, 2017. (Serie Actividades de Difusión; 780)| Biblioteca(s): INIA Las Brujas. |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
15/03/2023 |
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Actualizado : |
15/03/2023 |
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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 : |
LONDOÑO-GIL, M.; CARDONA-CIFUENTES, D.; ESPIGOLAN, R.; PERIPOLLI, E.; LÔBO, R. B.; PEREIRA, A. S. C.; AGUILAR, I.; BALDI, F. |
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Afiliación : |
MARISOL LONDOÑO-GIL, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, 14884-900, Brazil; DANIEL CARDONA-CIFUENTES, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, 14884-900, Brazil; RAFAEL ESPIGOLAN, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225m Campus Fernando Costa – USP, CEP, SP, Pirassununga, 13635-900, Brazil; ELISA PERIPOLLI, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, 14884-900, Brazil; RAYSILDO B. LÔBO, Associação Nacional de Criadores e Pesquisadores (ANCP), Rua João Godoy, 463, Jardim América, CEP, SP, Ribeirão Preto, 14020-230, Brazil; ANGÉLICA S. C. PEREIRA, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, Av. Duque de Caxias Norte, 225 Campus Fernando Costa Jardim Elite, CEP, SP, Pirassununga, 13635-900, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Av. Duque de Caxias Norte, 225m Campus Fernando Costa – USP, CEP, SP, Pirassununga, 13635-900, Brazil. |
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Título : |
Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Tropical Animal Health and Production, 2023, Volume 55, Issue 2, Article 95. doi: https://doi.org/10.1007/s11250-023-03508-4 |
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ISSN : |
0049-4747 |
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DOI : |
10.1007/s11250-023-03508-4 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 28 April 2022, Accepted 11 February 2023, To be Published April 2023. -- Correspondence author: Cardona-Cifuentes, D.; Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, Brazil; email:daniel.cardona@unesp.br -- FUNDING: This work was supported by the São Paulo Research Foundation, FAPESP (grant number 2016/22751-6). -- Publisher: Springer Science and Business Media B.V. -- |
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Contenido : |
The aim of this work was to evaluate the impact of applying genomic information in pedigree uncertainty situations on genetic evaluations for growth- and cow productivity-related traits in Nelore commercial herds. Records for accumulated cow productivity (ACP) and adjusted weight at 450 days of age (W450) were used, as well as genotypes of registered and commercial herd animals, genotyped with the Clarifide Nelore 3.1 panel (~29,000 SNPs). The genetic values for commercial and registered populations were estimated using different approaches that included (ssGBLUP) or did not include genomic information (BLUP), with different pedigree structures. Different scenarios were tested, varying the proportion of young animals with unknown sires (0, 25, 50, 75, and 100%), and unknown maternal grandsires (0, 25, 50, 75, and 100%). The prediction accuracies and abilities were calculated. The estimated breeding value accuracies decreased as the proportion of unknown sires and maternal grandsires increased. The genomic estimated breeding value accuracy using the ssGBLUP was higher in scenarios with a lower proportion of known pedigree when compared to the BLUP methodology. The results obtained with the ssGBLUP showed that it is possible to obtain reliable direct and indirect predictions for young animals from commercial herds without pedigree structure. © 2023, The Author(s), under exclusive licence to Springer Nature B.V. |
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Palabras claves : |
Beef cattle; Genomic prediction; Genomic selection; Pedigree uncertainty. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 02904naa a2200289 a 4500
001 1063978
005 2023-03-15
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024 7 $a10.1007/s11250-023-03508-4$2DOI
100 1 $aLONDOÑO-GIL, M.
245 $aGenomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 28 April 2022, Accepted 11 February 2023, To be Published April 2023. -- Correspondence author: Cardona-Cifuentes, D.; Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de Acesso Prof. Paulo Donato Castellane s/n, CEP, SP, Jaboticabal, Brazil; email:daniel.cardona@unesp.br -- FUNDING: This work was supported by the São Paulo Research Foundation, FAPESP (grant number 2016/22751-6). -- Publisher: Springer Science and Business Media B.V. --
520 $aThe aim of this work was to evaluate the impact of applying genomic information in pedigree uncertainty situations on genetic evaluations for growth- and cow productivity-related traits in Nelore commercial herds. Records for accumulated cow productivity (ACP) and adjusted weight at 450 days of age (W450) were used, as well as genotypes of registered and commercial herd animals, genotyped with the Clarifide Nelore 3.1 panel (~29,000 SNPs). The genetic values for commercial and registered populations were estimated using different approaches that included (ssGBLUP) or did not include genomic information (BLUP), with different pedigree structures. Different scenarios were tested, varying the proportion of young animals with unknown sires (0, 25, 50, 75, and 100%), and unknown maternal grandsires (0, 25, 50, 75, and 100%). The prediction accuracies and abilities were calculated. The estimated breeding value accuracies decreased as the proportion of unknown sires and maternal grandsires increased. The genomic estimated breeding value accuracy using the ssGBLUP was higher in scenarios with a lower proportion of known pedigree when compared to the BLUP methodology. The results obtained with the ssGBLUP showed that it is possible to obtain reliable direct and indirect predictions for young animals from commercial herds without pedigree structure. © 2023, The Author(s), under exclusive licence to Springer Nature B.V.
653 $aBeef cattle
653 $aGenomic prediction
653 $aGenomic selection
653 $aPedigree uncertainty
700 1 $aCARDONA-CIFUENTES, D.
700 1 $aESPIGOLAN, R.
700 1 $aPERIPOLLI, E.
700 1 $aLÔBO, R. B.
700 1 $aPEREIRA, A. S. C.
700 1 $aAGUILAR, I.
700 1 $aBALDI, F.
773 $tTropical Animal Health and Production, 2023, Volume 55, Issue 2, Article 95. doi: https://doi.org/10.1007/s11250-023-03508-4
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