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| 61. |  | FORNI, S.; AGUILAR, I.; MISZTAL, I.; DEEB, N. Genomic relationships and biases in the evaluation of sow litter size. Volume Genetic improvement programmes: Selection using molecular information - Poster Sessions, 0506. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0506.| Biblioteca(s): INIA Las Brujas. |
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| 71. | | CIAPPESONI, G.; PRAVIA, M.; RAVAGNOLO, O.; AGUILAR, I. Objetivos de selección y progreso genético. ln: INIA Tacuarembó. Sociedad Criadores Merino Australiano del Uruguay. SUL. Proyecto Merino Fino del Uruguay: quinta distribución de carneros generados en el núcleo fundacional de merino fino de la Unidad Experimental Glencoe, INIA Tacuarembó, 1999 - 2004. Glencoe, Paysandú, 10 diciembre, 2004. Tacuarembó (Uruguay): INIA, 2004. p. 55-62 (INIA Serie Actividades de Difusión ; 392)| Biblioteca(s): INIA Tacuarembó. |
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| 72. | | TSURUTA, S.; MISZTAL, I.; AGUILAR, I.; LAWLOR, T.J. Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins. Journal of Dairy Science, 2011, v.94, no.8, p.4198-4204. OPEN ACCESS. Article history: Received February 9, 2011. / Accepted April 8, 2011.| Biblioteca(s): INIA Las Brujas. |
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| 74. | | PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. Incorporación de información genómica en la estimación del mérito genético de consumo residual de alimento. In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Cambio Climático y Producción Sostenible (Climate Change Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.74-76. (Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1) Corresponding author: M.I. Pravia, Instituto Nacional de Investigación Agropecuaria (INIA), Las Brujas, Rincón del Colorado, Canelones (Uruguay), mailto: mpravia@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 80. | | AGUILAR, I.; MISZTAL, I.; TSURUTA, S.; LEGARRA, A.; WANG, H. PREGSF90 - POSTGSF90: Computational tools for the implementation of single-step genomic selection and genome-wide association with ungenotyped individuals in BLUPF90 programs. Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 680. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.680.| Biblioteca(s): INIA Las Brujas. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
27/01/2021 |
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Actualizado : |
27/01/2021 |
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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 : |
NEGRI, R.; AGUILAR, I.; FELTES, G. L.; COBUCI, J. A. |
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Afiliación : |
RENATA NEGRI, Department of Animal Science, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GIOVANI LUIS FELTES, Department of Animal Science, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; JAIME ARAÚJO COBUCI, Department of Animal Science, Federal University of Rio Grande do Sul, Porto Alegre Brazil. |
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Título : |
Selection for test-day milk yield and thermotolerance in brazilian holstein cattle. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Animals, January 2021, Volume 11, Issue 1, Article number 128, Pages 1-13. OPEN ACCESS. Doi: https://doi.org/10.3390/ani11010128 |
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ISSN : |
2076-2615 |
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DOI : |
10.3390/ani11010128 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 16 November 2020; Accepted 29 December 2020; Published 8 January 2021.
Corresponding author: Negri, R.; Department of Animal Science, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; email:rn.negri@yahoo.com
Cobuci, J.A.; Department of Animal Science, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; email:jaime.cobuci@ufrgs.br
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license https://creativecommons.org/licenses/by/4.0/ - This research was funded in part by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior?Brasil (CAPES), finance Code 001, and Conselho Nacional de Desenvolvimento Cientifico e Tecnológico?Brasil (CNPq, process n. 425315/2018-5).
This article belongs to the Special Issue Modeling Genotype by Environment Interaction for Precision Farming and Improved Animal Welfare. |
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Contenido : |
Simple Summary:
Interest in selection for milk yield and thermotolerance in cattle has grown, since heat stress has caused great losses in milk yield. However, few studies on how to carry out concurrent selection are available. Milk yield was analyzed by traditional methods, including heat stress indicators, in genetic evaluation. The results showed that the best sires for milk yield are not the best for heat tolerance, and only a small proportion of individuals have the aptitude for joint selection. Despite a small population fraction allowed for joint selection, sufficient genetic variability for selecting more resilient sires was found, which promoted concomitant genetic gains in milk yield
and thermotolerance.
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
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Palabras claves : |
Animal resilience; Genotype-by-environment interaction; Longitudinal data. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
https://www.mdpi.com/2076-2615/11/1/128
https://www.mdpi.com/2076-2615/11/1/128/pdf
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Marc : |
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008 2021 bl uuuu u00u1 u #d
022 $a2076-2615
024 7 $a10.3390/ani11010128$2DOI
100 1 $aNEGRI, R.
245 $aSelection for test-day milk yield and thermotolerance in brazilian holstein cattle.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 16 November 2020; Accepted 29 December 2020; Published 8 January 2021. Corresponding author: Negri, R.; Department of Animal Science, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; email:rn.negri@yahoo.com Cobuci, J.A.; Department of Animal Science, Federal University of Rio Grande do Sul, Porto Alegre, Brazil; email:jaime.cobuci@ufrgs.br This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license https://creativecommons.org/licenses/by/4.0/ - This research was funded in part by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior?Brasil (CAPES), finance Code 001, and Conselho Nacional de Desenvolvimento Cientifico e Tecnológico?Brasil (CNPq, process n. 425315/2018-5). This article belongs to the Special Issue Modeling Genotype by Environment Interaction for Precision Farming and Improved Animal Welfare.
520 $aSimple Summary: Interest in selection for milk yield and thermotolerance in cattle has grown, since heat stress has caused great losses in milk yield. However, few studies on how to carry out concurrent selection are available. Milk yield was analyzed by traditional methods, including heat stress indicators, in genetic evaluation. The results showed that the best sires for milk yield are not the best for heat tolerance, and only a small proportion of individuals have the aptitude for joint selection. Despite a small population fraction allowed for joint selection, sufficient genetic variability for selecting more resilient sires was found, which promoted concomitant genetic gains in milk yield and thermotolerance. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
653 $aAnimal resilience
653 $aGenotype-by-environment interaction
653 $aLongitudinal data
700 1 $aAGUILAR, I.
700 1 $aFELTES, G. L.
700 1 $aCOBUCI, J. A.
773 $tAnimals, January 2021, Volume 11, Issue 1, Article number 128, Pages 1-13. OPEN ACCESS. Doi: https://doi.org/10.3390/ani11010128
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