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Registros recuperados : 224 | |
81. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | NEGRI, R.; AGUILAR, I.; FELTES, G. L.; COBUCI, J. A. Selection for test-day milk yield and thermotolerance in brazilian holstein cattle. Animals, January 2021, Volume 11, Issue 1, Article number 128, Pages 1-13. OPEN ACCESS. Doi: https://doi.org/10.3390/ani11010128 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;...Biblioteca(s): INIA Las Brujas. |
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83. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MASUDA, Y.; AGUILAR, I.; TSURUTA, S.; MISZTAL, I. Technical note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinements. Journal of Animal Science, 2015, v. 93, p. 4670 - 4674. Published October 9, 2015 Article history: Received June 8, 2015.; Accepted August 7, 2015.
1. We acknowledge the work by François Guillaume in programming a hash function. We greatly appreciate the work of the two anonymous reviewers.
2. The AIREMLF90 program...Biblioteca(s): INIA Las Brujas. |
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87. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | ZHANG, X.; LOURENCO, D.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A. Weighted single-step genomic BLUP: an iterative approach for accurate calculation of GEBV and GWAS. Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 681. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.681.Biblioteca(s): INIA Las Brujas. |
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88. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | ZHANG, X.; LOURENCO, D.; AGUILAR, I.; LEGARRA, A.; MISZTAL, I. Weighting strategies for single-step genomic BLUP: An iterative approach for accurate calculation of GEBV and GWAS. Frontiers in Genetics, 19 August 2016, Volume 7, Issue AUG, Article number 151. OPEN ACCESS Article history: Received 15 May 2016 // Accepted 04 August 2016 // Published 19 August 2016.
Specialty section:
This article was submitted to Statistical Genetics and Methodology, a section of the journal Frontiers in Genetics.Biblioteca(s): INIA Las Brujas. |
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92. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LOURENCO, D; MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LAWLOR, T. J.; WELLER, J. I. Are evaluations on young genotyped dairy bulls benefiting from the past generations? [conference paper]. Volume Species Breeding: Dairy cattle, 297. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.297.Biblioteca(s): INIA Las Brujas. |
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95. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LEMA, O.M.; BRITO, G.; CLARIGET, J.; PEREZ, E.; RAVAGNOLO, O.; AGUILAR, I.; MONTOSSI, F. Dos años de evaluación de ganancia diaria invernal de terneros con paternidad conocida y su efecto sobre la recría
y terminación. In: CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL, 38., 2015. Resúmenes. Santa Rosa, La Pampa, AR: ASAS/AAPA, 2015 Revista Argentina de Producción Animal, 2015, v.35, Supl.1, p.62Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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98. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | NAVAJAS, E.; MACEDO, F.; LEMA, O.M.; LUZARDO, S.; AGUILAR, I. Accuracy of genomic predictions for carcass and meat quality traits in the Uruguayan Hereford breed. Volume Species - Bovine (beef) 1, p. 636. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. 6 p. Acknowledgements: This work was supported by the Agencia Nacional de Investigación e Innovación (ANII) (grants RTS_1_2012_1_3489 and FMV_1_2011_1_6671), Instituto Nacional de Investigación Agropecuaria (INIA), Sociedad de Criadores de...Biblioteca(s): INIA Las Brujas. |
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99. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Accuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22]. Issue Section: Animal Breeding and Genetics. Journal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012 Article history: 30 November 2020.
ASAS Annual 2020 Meeting Abstracts.Biblioteca(s): INIA Las Brujas. |
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100. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LEGARRA, A.; CHRISTENSEN, O. F.; VITEZICA, Z. G.; AGUILAR, I.; MISZTAL, I. Across-breeds ancestral relationships and metafounders for genomic evaluation. Volume Genetic Improvement Programs: Selection using molecular information, 075. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.075. Acknowledgements: This project has been financed by X-Gen and GenSSeq actions from SelGen metaprogram (INRA). We are grateful to the genotoul bioinformatics platform Toulouse Midi-Pyrenees for providing computing resources.Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 224 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
05/02/2020 |
Actualizado : |
05/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
SIGDEL, A.; ABDOLLAHI-ARPANAHI, R.; AGUILAR, I.; PEÑAGARICANO, F. |
Afiliación : |
ANIL SIGDEL, Department of Animal Sciences, University of Florida, Gainesville, FL, United States; ROSTAM ABDOLLAHI-ARPANAHI, Department of Animal Sciences, University of Florida, Gainesville, FL, United States; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANCISCO PEÑAGARICANO, Department of Animal Sciences, University of Florida, Gainesville, FL, United States; University of Florida Genetics Institute, University of Florida, Gainesville, FL, United States. |
Título : |
Whole genome mapping reveals novel genes and pathways involved in milk production under heat stress in US Holstein cows. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Frontiers in Genetics, 4 October 2019, Volume 10, Article number 928. OPEN ACCESS. Doi: https://doi.org/10.3389/fgene.2019.00928 |
ISSN : |
1664-8021 |
DOI : |
10.3389/fgene.2019.00928 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 19 May 2019 / Accepted: 05 September 2019 / Published: 04 October 2019.
Specialty section: This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics.
Corresponding author: Francisco Peñagaricano - fpenagaricano@ufl.edu |
Contenido : |
ABSTACT.
Heat stress represents a major environmental factor that negatively affects the health and performance of dairy cows, causing huge economic losses to the dairy industry. Identifying and selecting animals that are thermotolerant is an attractive alternative for reducing the negative effects of heat stress on dairy cattle performance. As such, the objectives of the present study were to estimate genetic components of milk yield, fat yield, and protein yield considering heat stress and to perform whole-genome scans and a subsequent gene-set analysis for identifying candidate genes and functional gene-sets implicated in milk production under heat stress conditions. Data consisted of about 254k test-day records from 17,522 Holstein cows. Multi-trait repeatability test day models with random regressions on a function of temperature-humidity index (THI) values were used for genetic analyses. The models included herd-test-day and DIM classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, thermotolerance additive genetic variances for all milk traits increased across parities suggesting that cows become more sensitive to heat stress as they age. In addition, our study revealed negative genetic correlations between general and thermotolerance additive effects, ranging between ?0.18 to ?0.68 indicating that high producing cows are more susceptible to heat stress. The association analysis identified at least three different genomic regions on BTA5, BTA14, and BTA15 strongly associated with milk production under heat stress conditions. These regions harbor candidate genes, such as HSF1, MAPK8IP1, and CDKN1B that are directly involved in the cellular response to heat stress. Moreover, the gene-set analysis revealed several functional terms related to heat shock proteins, apoptosis, immune response, and oxidative stress, among others. Overall, the genes and pathways identified in this study provide a better understanding of the genetic architecture underlying dairy cow performance under heat stress conditions. Our findings point out novel opportunities for improving thermotolerance in dairy cattle through marker-assisted breeding.
© Copyright © 2019 Sigdel, Abdollahi-Arpanahi, Aguilar and Peñagaricano. MenosABSTACT.
Heat stress represents a major environmental factor that negatively affects the health and performance of dairy cows, causing huge economic losses to the dairy industry. Identifying and selecting animals that are thermotolerant is an attractive alternative for reducing the negative effects of heat stress on dairy cattle performance. As such, the objectives of the present study were to estimate genetic components of milk yield, fat yield, and protein yield considering heat stress and to perform whole-genome scans and a subsequent gene-set analysis for identifying candidate genes and functional gene-sets implicated in milk production under heat stress conditions. Data consisted of about 254k test-day records from 17,522 Holstein cows. Multi-trait repeatability test day models with random regressions on a function of temperature-humidity index (THI) values were used for genetic analyses. The models included herd-test-day and DIM classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, thermotolerance additive genetic variances for all milk traits increased across parities suggesting that cows become more sensitive to heat stress as they age. In addition, our study revealed negative genetic correlations between general and thermotolerance additive effects, ranging between ?0.18 to ?0.68 indicating that high producing cows are more susceptible to heat stress. The association analysis identified at ... Presentar Todo |
Palabras claves : |
Gene-set analysis; Genetic parameters; Genomic scan; Heat-shock proteins; Thermotolerance. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
https://www.frontiersin.org/articles/10.3389/fgene.2019.00928/pdf
|
Marc : |
LEADER 03448naa a2200253 a 4500 001 1060773 005 2020-02-05 008 2019 bl uuuu u00u1 u #d 022 $a1664-8021 024 7 $a10.3389/fgene.2019.00928$2DOI 100 1 $aSIGDEL, A. 245 $aWhole genome mapping reveals novel genes and pathways involved in milk production under heat stress in US Holstein cows.$h[electronic resource] 260 $c2019 500 $aArticle history: Received: 19 May 2019 / Accepted: 05 September 2019 / Published: 04 October 2019. Specialty section: This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics. Corresponding author: Francisco Peñagaricano - fpenagaricano@ufl.edu 520 $aABSTACT. Heat stress represents a major environmental factor that negatively affects the health and performance of dairy cows, causing huge economic losses to the dairy industry. Identifying and selecting animals that are thermotolerant is an attractive alternative for reducing the negative effects of heat stress on dairy cattle performance. As such, the objectives of the present study were to estimate genetic components of milk yield, fat yield, and protein yield considering heat stress and to perform whole-genome scans and a subsequent gene-set analysis for identifying candidate genes and functional gene-sets implicated in milk production under heat stress conditions. Data consisted of about 254k test-day records from 17,522 Holstein cows. Multi-trait repeatability test day models with random regressions on a function of temperature-humidity index (THI) values were used for genetic analyses. The models included herd-test-day and DIM classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, thermotolerance additive genetic variances for all milk traits increased across parities suggesting that cows become more sensitive to heat stress as they age. In addition, our study revealed negative genetic correlations between general and thermotolerance additive effects, ranging between ?0.18 to ?0.68 indicating that high producing cows are more susceptible to heat stress. The association analysis identified at least three different genomic regions on BTA5, BTA14, and BTA15 strongly associated with milk production under heat stress conditions. These regions harbor candidate genes, such as HSF1, MAPK8IP1, and CDKN1B that are directly involved in the cellular response to heat stress. Moreover, the gene-set analysis revealed several functional terms related to heat shock proteins, apoptosis, immune response, and oxidative stress, among others. Overall, the genes and pathways identified in this study provide a better understanding of the genetic architecture underlying dairy cow performance under heat stress conditions. Our findings point out novel opportunities for improving thermotolerance in dairy cattle through marker-assisted breeding. © Copyright © 2019 Sigdel, Abdollahi-Arpanahi, Aguilar and Peñagaricano. 653 $aGene-set analysis 653 $aGenetic parameters 653 $aGenomic scan 653 $aHeat-shock proteins 653 $aThermotolerance 700 1 $aABDOLLAHI-ARPANAHI, R. 700 1 $aAGUILAR, I. 700 1 $aPEÑAGARICANO, F. 773 $tFrontiers in Genetics, 4 October 2019, Volume 10, Article number 928. OPEN ACCESS. Doi: https://doi.org/10.3389/fgene.2019.00928
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