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Registros recuperados : 34 | |
21. | | DE AZEVEDO, E.B.; SAVIAN, J.V.; DO AMARAL, G. A.; DE DAVID, D. B.; GERE, J.I.; MOURA, M.; BREMM, C.; JOCHIMS, F.; ZUBIETA, A. S.; GONDA, H. L.; BAYER, C.; DE FACCIO CARVALHO, P.C. Feed intake, methane yield, and efciency of utilization of energy and nitrogen by sheep fed tropical grasses. Tropical Animal Health and Production, 2021, volume 53, Article number 452. doi: https://doi.org/10.1007/s11250-021-02928-4 Article history: Received: 10 July 2020; Accepted: 10 September 2021; Published online: 18 September 2021.Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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22. | | CARVALHO, P. C. DE FACCIO; SAVIAN, J.V.; DELLA CHIESA, T.; DE SOUZA FILHO, W.; TERRA, J.A.; PINTO, P.; POSSELT MARTINS, A.; VILLARINO, S.S; DA TRUBDADE, J. K.; ALBUQUERQUE NUNEZ, P. A.; PIÑEIRO, G. Land-use intensification trends in the Rio de la Plata region of South America: toward specialization or recoupling crop and livestock production. Review. Frontiers of Agricultural Science and Engineering, 2021, 14 p. DOI: 10.15302/j-fase-2020380 Article history: Received 12 November 2020. Accepted 13 January 2021.Biblioteca(s): INIA Treinta y Tres. |
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23. | | FARIAS, G.D.; BREMM, C.; SAVIAN, J.V.; SOUZA FILHO, W. DE; LIMA, L.C. DE; NUNES, P.A.D.A.; ALVES, L.A.; SACIDO, M.; MONTOSSI, F.; TIECHER, T.; CARVALHO, P.C.F. Opportunities and challenges for the integration of sheep and crops in the Rio de la Plata region of South America. Small Ruminant Research, 2022, v. 215, no. 106776, 10 p. doi: https://doi.org/10.1016/j.smallrumres.2022.106776 History article: Received date: 18 September 202; Revised date: 7 July 2022; Accepted date: 8 July 2022.
Corresponding authors: gustavo.dfarias@hotmail.com (G. D. Farias), paulocfc@ufrgs.br (P. C. de Faccio Carvalho)Biblioteca(s): INIA Treinta y Tres. |
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24. | | ZUBIETA, A. S.; MARÍN, A.; SAVIAN, J.V.; BOLSAN, A. M. SOARES; ROSSETTO, J.; BARRETO, M. T.; BINDELLE, J.; BREMM, C.; QUISHPE, L. V.; DECRUYENAERE, V.; CARVALHO, P. C. DE F. Long-intensity, high-frecuency grazing positively affects defoliating behavior, nutrient intake and blood indicators of nutrition and stress in sheep. Frontiers in Veterinary Science, June 2021, Volume 8, art. 631820. OPEN ACCESS. Doi: https://doi.org/10.3389/fvets.2021.631820 Article history: Received: 21 November 2020 // Accepted: 26 May 2021 // Published: 22 June 2021.Biblioteca(s): INIA Treinta y Tres. |
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25. | | PORTUGAL, T. B.; SZYMCZAK, L. S.; DE MORAES, A.; FONSECA, L.; MEZZALIRA, J.C.; SAVIAN, J.V.; ZUBIETA, A. S.; BREMM, C.; DE FACCIO CARVALHO, P. C.; MONTEIRO, A. L. G. Low-intensity, high-frequency grazing strategy increases herbage production and beef cattle performance on sorghum pastures. Animals 2022, volume 12, number 1, 13 pages. OPEN ACCESS. doi: https://doi.org/10.3390/ani12010013 Article history: Received: 17 October 2021 / Revised: 8 November 2021 / Accepted: 10 November 2021 / Published: 22 December 2021 .Biblioteca(s): INIA Treinta y Tres. |
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26. | | JAURENA, M.; DURANTE, M.; DEVINCENZI, T.; SAVIAN, J.V.; BENDERSKY, D.; MOOJEN, F.G.; PEREIRA, M.; SOCA, P.; QUADROS, F.L.F.; PIZZIO, R.; NABINGER, C.; CARVALHO, P.C.F.; LATTANZI, F. Native Grasslands at the Core: A New Paradigm of Intensification for the Campos of Southern South America to Increase Economic and Environmental Sustainability Front. Sustain. Food Syst., 05 March 2021, OPEN ACCESS. DOI: https://doi.org/10.3389/fsufs.2021.547834 Article history: Received: 31 March 2020, Accepted: 07 January 2021, Published: 05 March 2021. ACKNOWLEDGMENTS: The authors gratefully acknowledge Fiorella Cazulli for the
English corrections.Correspondence: Martín Jaurena...Biblioteca(s): INIA Tacuarembó. |
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27. | | CEZIMBRA, I.M.; DE ALBUQUERQUE NUNES, P.A.; DE SOUZA FILHO, W.; TISCHLER, M.R.; GENRO, T.C.M.; BAYER, C.; SAVIAN, J.V.; BONNET, O.J.F.; SOUSSANA, J.-F.; DE FACCIO CARVALHO, P.C. Potential of grazing management to improve beef cattle production and mitigate methane emissions in native grasslands of the Pampa biome. Science of the Total Environment, 2021, Volume 780, Article number 146582. Doi: https://doi.org/https://doi.org/10.1016/j.scitotenv.2021.146582 Article history: Received 19 August 2020; Received in revised form 15 March 2021; Accepted 15 March 2021; Available online 19 March 2021.
Editor: Elena Paoletti.Biblioteca(s): INIA Las Brujas. |
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28. | | FARIAS, G.D.; BATISTA DEBEUX JR, J.C.; SAVIAN, J.V.; PACHERO DUARTE, L.; POSSELT MARTINS, A.; TIECHER, T.; AQUINO ALVES, L.; CARVALHO, P.C. DE FACCIO; BREMM, C. Integrated crop-livestock system with system fertilization approach improves food production and resource-use efficiency in agricultural lands. Agronomy for Sustainable Development volume, 2020. 40, art. 39. DOI: https://doi.org/10.1007/s13593-020-00643-2 Article history: Accepted: 4 October 2020. Published: 27 October 2020.Biblioteca(s): INIA Treinta y Tres. |
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29. | | CAZZULI, F.; SÁNCHEZ, J.; HIRIGOYEN, A.; ROVIRA, P.J.; BERETTA, V.; SIMEONE, A.; JAURENA, M.; DURANTE, M.; SAVIAN, J.V.; POPPI, D.; MONTOSSI, F.; LAGOMARSINO, X.; LUZARDO, S.; BRITO, G.; VELAZCO, J.I.; BREMM, C.; LATTANZI, F. Supplement feed efficiency of growing beef cattle grazing native Campos grasslands during winter: a collated analysis. Translational Animal Science. 2023, Volume 7, Issue 1, txad028. https://doi.org/10.1093/tas/txad028 -- OPEN ACCESS Article history: Received 03 October 2022; Accepted 09 March 2023; Published 10 March 2023; Corrected and typeset 01 April 2023. -- Corresponding author: fcazzuli@inia.org.uy -- Issue Section: Forage Based Livestock Systems. -- License:...Biblioteca(s): INIA Las Brujas. |
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30. | | SCHONS, R.M.T.; LACA, E.A.; SAVIAN, J.V.; MEZZALIRA, J.C.; SCHENEIDER, E.A.N.; CAETANO, M.; ZUBIETA, A.S.; BENVENUTTI, M.A.; CARVALHO, P.C. DE F. ´Rotatinuous` stocking: An innovation in grazing management to foster both herbage and animal production. Livestock Science, March 2021, Volume 245, Article number 104406. Doi: https://doi.org/10.1016/j.livsci.2021.104406 Article history: Received 23 April 2019 / Received in revised form 30 November 2020 / Accepted 17 January 2021 / Available online 20 January 2021.Biblioteca(s): INIA Treinta y Tres. |
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31. | | SAVIAN, J.V.; QUIÑONES, A.; PRAVIA, V.; CARDOZO, G.; GUIDO, A.; DEVINCENZI, T.; JAURENA, M.; ROVIRA, P.J.; LEONI, C.; CIGANDA, V.; DE BARBIERI, I.; AYALA, W.; CIAPPESONI, G.; LATTANZI, F. Un nuevo experimento de largo plazo en INIA Treinta y Tres con foco en la sostenibilidad del campo natural. Pasturas. Revista INIA Uruguay, Diciembre 2021, no.67, p.29-31. (Revista INIA; 67).Biblioteca(s): INIA Las Brujas. |
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32. | | PORTUGAL, T. B.; DE FACCIO CARVALHO, P. C.; DE CAMPOS, B.M.; SZYMCZAK, L.S.; SAVIAN, J.V.; ZUBIETA, A.S.; DE SOUZA FILHO, W.; ROSSETTO, J.; BREMM, C.; DE OLIVEIRA, L.B.; DE MORAES, A.; BAYER, C.; GOMES MONTEIRO, A.L. Methane emissions and growth performance of beef cattle grazing multi-species swards in different pesticide-free integrated crop-livestock systems in southern Brazil. Journal of Cleaner Production, 15 August 2023, Volume 414, Article 137536. https://doi.org/10.1016/j.jclepro.2023.137536 Article history: Received 28 December 2022; Received in revised form 16 May 2023; Accepted 19 May 2023; Available online 22 May 2023. -- Correspondence author: Portugal, T.B.; Department of Crop Production and Protection, Federal...Biblioteca(s): INIA Las Brujas. |
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33. | | BELANCHE, A.; HRISTOV, A.; VAN LINGEN, H.; DENMAN, S. E.; KEBREAB, E.; SCHWARM, A.; KREUZER, M.; NIU, M.; EUGÈNE, M.; NIDERKORN, V.; MARTIN, C.; ARCHIMÈDE, H.; MCGEE, M.; REYNOLDS, C. K.; CROMPTON, L. A.; BAYAT, A. R.; YU, Z.; BANNINK, A.; DIJKSTRA, J.; CHAVES, A. V.; CLARK, H.; MUETZEL, S.; LIND, V.; MOORBY, J. M.; ROOKE, J. A.; AUBRY, A.; ANTEZANA, W.; WANG, M.; HEGARTY, R.; HUTTON O. V.; HILL, J.; VERCOE, P. E.; SAVIAN, J.V.; ABDALLA, A. L.; SOLTAN, Y. A.; GOMES MONTEIRO, A. L.; KU-VERA, J. C.; JAURENA, G.; GÓMEZ-BRAVO, C. A.; MAYORGA, O. L.; CONGIO, G. F. S.; YÁÑEZ-RUIZ, D. R. Prediction of enteric methane emissions by sheep using an intercontinental database. Journal of Cleaner Production, 15 January 2023, Volume 384, 135523. OPEN ACCESS. doi: https://doi.org/10.1016/j.jclepro.2022.135523 Article history: Received 24 May 2022; Received in revised form 11 November 2022; Accepted 3 December 2022; Available online 9 December 2022.
Corresponding author: Belanche, A.; Department of Animal Production and Food Sciences, IA2,...Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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34. | | SOUZA CONGIO, G. F. DE; BANNINK, A.; MAYORGA, MOGOLLÓN, O. L.; NICOLOV HRISTOV, A.; JAURENA, G.; GONDA, H.; GERE, J. I.; CERÓN-CUCCHI, M.E.; ORTIZ-CHURA, A.; TIERI, M.P.; HERNÁNDEZ, O.; RICCI, P.; JULIARENA, M.P.; LOMBARDI, B.; ABDALLA, A.L.; ABDALLA-FILHO, A.L.; BERNDT, A.; ANCHAO OLIVEIRA, P. P.; HENRIQUE, F. L.; GOMEZ MONTEIRO, A.L.; BORGES, L. I.; RIBEIRO-FILHO, H.M.N.; RIBEIRO PEREIRA, L.G.; RIBEIRO TOMICH, T.; MAGALHAES CAMPOS, M.; SAMARINI MACHADO, F.; MARCONDES, M. I.; ZERLOTTI MERCADANTE, M. E.; SANNOMIYA SAKAMOTO, L.; GALVAO ALBUQUERQUE, L.; FACCIO CARVALHO, P. C. DE; ROSSETTO, J.; SAVIAN, J.V.; MAZZA RODRIGUES, P. H.; PERNA JÚNIOR, F.; MOREIRA, T.S.; MAURÍCIO, R. M.; PACHECO RODRIGUES, J.P.; CRUZ BORGES, A.L. DA C.; REIS E SILVA, R.; FERREIRA LAGE, H.; ANDRADE REIS, R.; RUGGIERI, A.C.; CARDOSO, A. DA SILVA; SILVA, S. CARNEIRO DA; BARBOSA CHIAVEGATO, M.; VALADARES-FILHO, S. DE CAMPOS; SILVA, F. A. DE SALES; ZANETTI, D.; BERCHIELLI, T.T.; DUARTE MESSANA, J.; MUÑOZ, C.; ARIZA-NIETO, C.J.; SIERRA-ALARCÓN, L.I.; GUALDRÓN-DUARTE, L.B.; MESTRA-VARGAS, L.I.; MOLINA-BOTERO, I. C.; BARAHONA-ROSALES, R.; ARANGO, J.; GAVIRIA-URIBE, X.; GIRALDO VALDERRAMA, L.A.; ROSERO-NOGUERA, J.R.; POSADA-OCHOA, S.L.; ABARCA-MONGE, SERGIO; SOTO-BLANCO, R.; KU-VERA, J.C.; JIMÉNEZ-OCAMPO, R.; FLORES-SANTIAGO, E. DEL J.; CASTELÁN-ORTEGA, O.A.; VÁZQUEZ-CARRILLO, M.F.; BENAOUDA, M.; GÓMEZ-BRAVO, C. A.; ALVARADO BOLOVICH, V.I.; DÍAZ CÉSPEDES, M.A.; ASTIGARRAGA, L. Enteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region: a meta-analysis. Journal of Cleaner Production. 2021. v. 312, art. 127693, 13 p. Doi: https://doi.org/10.1016/j.jclepro.2021.127693 Article history: Receiived 22 December 2020; Received in revised form 24 April 2021; Accepted 25 May 2021. Available online 30 May 2021.
Latin America Methane Project Collaborators está integrada por 71 investigadores en este artículo.Biblioteca(s): INIA Treinta y Tres. |
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Registros recuperados : 34 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
29/09/2014 |
Actualizado : |
15/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
B - 2 |
Autor : |
WANG, H.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A.; MUIR, W.M. |
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Genome-wide association mapping including phenotypes from relatives without genotypes. |
Fecha de publicación : |
2012 |
Fuente / Imprenta : |
Genetics Research, 2012, v.94, no.2, p.73-83. OPEN ACCESS. |
ISSN : |
0016-6723 |
DOI : |
10.1017/S0016672312000274 |
Idioma : |
Inglés |
Notas : |
Article history: Received 19 September 2011 / Revised 8 December 2011 and 9 March 2012. / Accepted 13 March 2012. |
Contenido : |
ABSTRACT.
A common problem for genome-wide association analysis (GWAS) is lack of power for detection of quantitative trait loci (QTLs) and precision for fine mapping. Here, we present a statistical method, termed single-step GBLUP (ssGBLUP), which increases both power and precision without increasing genotyping costs by taking advantage of phenotypes from other related and unrelated subjects. The procedure achieves these goals by blending traditional pedigree relationships with those derived from genetic markers, and by conversion of estimated breeding values (EBVs) to marker effects and weights. Additionally, the application of mixed model approaches allow for both simple and complex analyses that involve multiple traits and confounding factors, such as environmental, epigenetic or maternal environmental effects. Efficiency of the method was examined using simulations with 15 800 subjects, of which 1500 were genotyped. Thirty QTLs were simulated across genome and assumed heritability was 05. Comparisons included ssGBLUP applied directly to phenotypes, BayesB and classical GWAS (CGWAS) with deregressed proofs. An average accuracy of prediction 089 was obtained by ssGBLUP after one iteration, which was 001 higher than by BayesB. Power and precision for GWAS applications were evaluated by the correlation between true QTL effects and the sum of m adjacent single nucleotide polymorphism (SNP) effects. The highest correlations were 082 and 074 for ssGBLUP and CGWAS with m=8, and 083 for BayesB with m=16. Standard deviations of the correlations across replicates were several times higher in BayesB than in ssGBLUP. The ssGBLUP method with marker weights is faster, more accurate and easier to implement for GWAS applications without computing pseudo-data.
© Cambridge University Press 2012. MenosABSTRACT.
A common problem for genome-wide association analysis (GWAS) is lack of power for detection of quantitative trait loci (QTLs) and precision for fine mapping. Here, we present a statistical method, termed single-step GBLUP (ssGBLUP), which increases both power and precision without increasing genotyping costs by taking advantage of phenotypes from other related and unrelated subjects. The procedure achieves these goals by blending traditional pedigree relationships with those derived from genetic markers, and by conversion of estimated breeding values (EBVs) to marker effects and weights. Additionally, the application of mixed model approaches allow for both simple and complex analyses that involve multiple traits and confounding factors, such as environmental, epigenetic or maternal environmental effects. Efficiency of the method was examined using simulations with 15 800 subjects, of which 1500 were genotyped. Thirty QTLs were simulated across genome and assumed heritability was 05. Comparisons included ssGBLUP applied directly to phenotypes, BayesB and classical GWAS (CGWAS) with deregressed proofs. An average accuracy of prediction 089 was obtained by ssGBLUP after one iteration, which was 001 higher than by BayesB. Power and precision for GWAS applications were evaluated by the correlation between true QTL effects and the sum of m adjacent single nucleotide polymorphism (SNP) effects. The highest correlations were 082 and 074 for ssGBLUP and CGWAS with m=8, an... Presentar Todo |
Thesagro : |
ANIMALES; CRIA; FENOTIPOS; GENOTIPO; MARCADORES GENÉTICOS; MEJORAMIENTO GENÉTICO ANIMAL. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/3348/1/Aguilar-I.-2012.-Genet.Res.Camb.-v.942-p.73-83.pdf
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Marc : |
LEADER 02696naa a2200277 a 4500 001 1050706 005 2019-10-15 008 2012 bl uuuu u00u1 u #d 022 $a0016-6723 024 7 $a10.1017/S0016672312000274$2DOI 100 1 $aWANG, H. 245 $aGenome-wide association mapping including phenotypes from relatives without genotypes.$h[electronic resource] 260 $c2012 500 $aArticle history: Received 19 September 2011 / Revised 8 December 2011 and 9 March 2012. / Accepted 13 March 2012. 520 $aABSTRACT. A common problem for genome-wide association analysis (GWAS) is lack of power for detection of quantitative trait loci (QTLs) and precision for fine mapping. Here, we present a statistical method, termed single-step GBLUP (ssGBLUP), which increases both power and precision without increasing genotyping costs by taking advantage of phenotypes from other related and unrelated subjects. The procedure achieves these goals by blending traditional pedigree relationships with those derived from genetic markers, and by conversion of estimated breeding values (EBVs) to marker effects and weights. Additionally, the application of mixed model approaches allow for both simple and complex analyses that involve multiple traits and confounding factors, such as environmental, epigenetic or maternal environmental effects. Efficiency of the method was examined using simulations with 15 800 subjects, of which 1500 were genotyped. Thirty QTLs were simulated across genome and assumed heritability was 05. Comparisons included ssGBLUP applied directly to phenotypes, BayesB and classical GWAS (CGWAS) with deregressed proofs. An average accuracy of prediction 089 was obtained by ssGBLUP after one iteration, which was 001 higher than by BayesB. Power and precision for GWAS applications were evaluated by the correlation between true QTL effects and the sum of m adjacent single nucleotide polymorphism (SNP) effects. The highest correlations were 082 and 074 for ssGBLUP and CGWAS with m=8, and 083 for BayesB with m=16. Standard deviations of the correlations across replicates were several times higher in BayesB than in ssGBLUP. The ssGBLUP method with marker weights is faster, more accurate and easier to implement for GWAS applications without computing pseudo-data. © Cambridge University Press 2012. 650 $aANIMALES 650 $aCRIA 650 $aFENOTIPOS 650 $aGENOTIPO 650 $aMARCADORES GENÉTICOS 650 $aMEJORAMIENTO GENÉTICO ANIMAL 700 1 $aMISZTAL, I. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 700 1 $aMUIR, W.M. 773 $tGenetics Research, 2012$gv.94, no.2, p.73-83. OPEN ACCESS.
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