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| Registros recuperados : 38 | |
| 1. |  | BERMANN, M.; AGUILAR, I.; LOURENCO, D.; MISZTAL, I. Approximation of reliabilities for random-regression single-step genomic best linear unbiased predictor. [2711 - abstract]. Breeding and Genetics 3: Advances in Methods for Genetic Improvement. In: American Dairy Science Association (ASDA), Annual Meeting, June 25-28, 2023, Ottawa, Ontario, Canadá. Journal of Dairy Science, 2023, Volume 106, Supplement 1, Abstracts, p.188.| Biblioteca(s): INIA Las Brujas. |
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| 2. | | BERMANN, M.; MISZTAL, I.; LOURENCO, D.; AGUILAR, I.; LEGARRA, A. Definition of reliabilities for models with metafounders. [289] Part 17 - Challenges - improving genomic prediction. 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_289 1217-1220. Article history: Published online: February 9, 2023. -- Corresponding author: A. Legarra, email: andres.legarra@inrae.fr -- Acknowledgment: This work received financing from European Unions' Horizon 2020 Research & Innovation Programme,...| Biblioteca(s): INIA Las Brujas. |
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| 3. | | BERMANN, M.; AGUILAR, I.; LOURENCO , D.; MISZTAL, I.; LEGARRA, A. Reliabilities of estimated breeding values in models with metafounders. Research article. Genetics, Selection, Evolution : GSE, 2023, volume55, issue 1, article 6. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00778-2 Article history: Received 29 June 2022; Accepted 04 January 2023; Published 23 January 2023. -- Corresponding author: Matias Bermann, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA, email: mbermann@uga.edu...| Biblioteca(s): INIA Las Brujas. |
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| 4. | | 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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| 5. | | 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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| 6. | | LOURENCO, D.; BERMANN, M.; TABET, J.M.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; MISZTAL, I. Approximating reliabilities of indirect predictions based on SNP effects from large single-step genomic best linear unbiased prediction evaluations. [1520 - abstract]. Breeding and Genetics 3. In: American Dairy Science Association (ASDA), Annual Meeting, June 16-19, 2024, West Palm Beach, Florida. Journal of Dairy Science, 2024, Volume 107, Supplement 1, Abstracts, p.131-132.| Biblioteca(s): INIA Las Brujas. |
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| 7. | | BERMANN, M.; AGUILAR, I.; ALVAREZ MUNERA, A.; BAUER, J.; SPLÍCHAL, J.; LOURENCO, D.; MISZTAL, I. Approximation of reliabilities for random-regression single-step genomic best linear unbiased predictor models. Genetics Research Technical Note. JDS Communications, November 2024, Volume 5, Issue 6, pp. 582-586. https://doi.org/10.3168/jdsc.2023-0513 -- OPEN ACCESS. Article history: Received 31 October 2023, Accepted 7 April 2024, Available online 10 May 2024, Version of Record 20 November 2024. -- Corresponding: Bermann, M.; Department of Animal and Dairy Science, University of Georgia, Athens, GA,...| Biblioteca(s): INIA Las Brujas. |
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| 8. | | 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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| 9. | | FRAGOMENI, B.O.; MISZTAL, I.; LOURENCO, D.L.; AGUILAR, I.; OKIMOTO, R.; MUIR, W.M. Changes in variance explained by top SNP windows over generations for three traits in broiler chicken Frontiers in Genetics, 2014, v.5, no.Oct., Article number 332. OPEN ACCESS. Article history: Published 01 October 2014.| Biblioteca(s): INIA Las Brujas. |
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| 10. | | 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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| 11. | | AGUILAR, I.; TSURUTA, S.; MASUDA, Y.; LOURENCO, D.A.L.; LEGARRA, A.; MISZTAL, I. BLUPF90 suite of programs for animal breeding with focus on genomics. Volume Methods and Tools - Software, p. 751. 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.| Biblioteca(s): INIA Las Brujas. |
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| 12. | | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Correction: Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP (Genetics, selection, evolution : GSE (2022) 54:1 (66)). Genetics, Selection, Evolution : GSE, 2023, Volume 55, Issue 1, Pages 26. OPEN ACCESS. https://doi.org/10.1186/s12711-023-00799-x Article history: Published online 17 April 2023. -- Document: Erratum - Gold Open Access. -- The original article can be found online at https://doi.org/10.1186/s12711-022-00752-4| Biblioteca(s): INIA Las Brujas. |
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| 13. | | MISZTAL, I.; AGUILAR, I.; LOURENCO, D.; MA, L.; STEIBEL, J.P. Emerging issues in genomic selection. Animal Genetics and Genomics. Journal of Animal Science, June 2021, Volume 99, Issue 61, skab092. OPEN ACCESS. Doi: https://doi.org/10.1093/jas/skab092 Article history: Received 23 January 2021; Accepted 26 March 2021; Advance Access publication March 27, 2021.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License...| Biblioteca(s): INIA Las Brujas. |
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| 14. | | LOURENÇO, D. A. L.; MISZTAL, I.; TSURUTA, S.; FRAGOMENI, B.; AGUILAR, I.; MASUDA, Y.; MOSER, D. Direct and indirect genomic evaluations in beef cattle. Interbull Bulletin, 2015, v. 49, p.80 - 84.| Biblioteca(s): INIA Las Brujas. |
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| 15. | | ÁLVAREZ MUNERA, A.; BERMANN, M.; AGUILAR, I.; BAUER, J.; SPLÍCHAL, J.; MISZTAL, I.; LOURENCO, D. Efficient implementation of random regression models for dairy cattle genomic evaluations. [1141 - abstract]. Breeding and Genetics 1. In: American Dairy Science Association (ASDA), Annual Meeting, June 16-19, 2024, West Palm Beach, Florida. Journal of Dairy Science, 2024, Volume 107, Supplement 1, Abstracts, p.18.| Biblioteca(s): INIA Las Brujas. |
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| 16. | | AGUILAR, I.; LEGARRA, A.; CARDOSO, F.; MASUDA, Y.; LOURENCO, D.; MISZTAL, I. Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. (Short Communication) Genetics Selection Evolution, 20 June 2019, v. 51, Issue 1, Article number 28. OPEN ACCESS. Article history: Received: 3 January 2019 // Accepted: 27 May 2019 // Published Online: 20 June 2019.
Funding text: This study was partially funded by the American Angus Association (St. Joseph, MO) and by Agriculture and Food Research...| Biblioteca(s): INIA Las Brujas. |
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| 17. | | MISZTAL, I.; LOURENCO, D.; TSURUTA, S.; AGUILAR, I.; MASUDA, Y.; BERMANN, M.; CESARANI, A.; LEGARRA, A. How ssGBLUP became suitable for national dairy cattle evaluations. [668]. Part 37 - Bovine dairy - genetic evaluation methods. 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_668 2757-2760. Article history: Published online: February 9, 2023 -- Corresponding author: I. Misztal, email: ignacy@uga.edu| Biblioteca(s): INIA Las Brujas. |
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| 18. | | 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.edu| Biblioteca(s): INIA Las Brujas. |
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| 19. | | 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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| 20. | | 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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| Registros recuperados : 38 | |
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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 : |
08/05/2019 |
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Actualizado : |
08/05/2019 |
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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 : |
EGUREN, G.; RIVAS-RIVERA, N.; GARCIA, C.; BÖCKING, B.; BANDEIRA, S. |
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Afiliación : |
GABRIELA EGUREN, Universidad de la República (UdelaR)/ Facultad de Ciencias; NOELIA RIVAS-RIVERA, Universidad de la República (UdelaR)/ Facultad de Ciencias; CLAUDIO CESAR GARCIA GALLARRETA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BERNARDO BÖCKING, Los Tordos S. en C.; SANTIAGO BANDEIRA, Los Tordos S. en C. |
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Título : |
Water quality index for agricultural systems in Northwest Uruguay. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Environmental Monitoring and Assessment, 2018, volume 190, Issue 12, page 710. |
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ISSN : |
0167-6369 |
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DOI : |
10.1007/s10661-018-7090-8 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 17 April 2018 // Accepted: 30 October 2018 // Published online: 10 November 2018. |
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Contenido : |
ABSTRACT.
Agricultural systems have experienced rapid expansion and intensification in the last several decades. In Uruguay, since the beginning of 2000, the most common cropping systems have included soybeans. Currently, this crop is expanding towards lowlands traditionally occupied by rice in rotation with pastures. However, the environmental effects of agricultural intensification and diversification are not well known. Thus, some indices have been proposed to quantify the changes in agricultural production systems and assess water quality. The main goal of this study was to develop a water quality index (WQI) to assess the impacts of the diversification of rice production systems in northwest Uruguay. The study was carried out in an agricultural basin where other summer crops have been incorporated in the rice-pasture sequence. Agriculture intensification and crop diversification indices were calculated using information provided by farmers. Water samples were collected downstream of the production area before crop sowing and after crop harvest (2008-2009 to 2010-2011 and 2016-2017 to 2017-2018). Biochemical oxygen demand, nitrates, total phosphorus, fecal coliforms, and total suspended solids were the variables that mainly explained the effects of the agricultural activities on water quality. The proposed water quality index included these unweighted variables, which allowed for the pre-sowing and post-harvest to be differentiated, as well as the degree of diversification. Therefore, the proposed WQI constitutes a tool that can be used to evaluate the water quality in an agricultural basin. Likewise, it can be used to select agricultural sequences that generate the least possible impacts on the associated water resources.
© Springer Nature Switzerland AG 2018 MenosABSTRACT.
Agricultural systems have experienced rapid expansion and intensification in the last several decades. In Uruguay, since the beginning of 2000, the most common cropping systems have included soybeans. Currently, this crop is expanding towards lowlands traditionally occupied by rice in rotation with pastures. However, the environmental effects of agricultural intensification and diversification are not well known. Thus, some indices have been proposed to quantify the changes in agricultural production systems and assess water quality. The main goal of this study was to develop a water quality index (WQI) to assess the impacts of the diversification of rice production systems in northwest Uruguay. The study was carried out in an agricultural basin where other summer crops have been incorporated in the rice-pasture sequence. Agriculture intensification and crop diversification indices were calculated using information provided by farmers. Water samples were collected downstream of the production area before crop sowing and after crop harvest (2008-2009 to 2010-2011 and 2016-2017 to 2017-2018). Biochemical oxygen demand, nitrates, total phosphorus, fecal coliforms, and total suspended solids were the variables that mainly explained the effects of the agricultural activities on water quality. The proposed water quality index included these unweighted variables, which allowed for the pre-sowing and post-harvest to be differentiated, as well as the degree of diversificati... Presentar Todo |
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Palabras claves : |
AGRICULTURAL SYSTEMS; AGRICULTURE INTENSIFICATION; CROP DIVERSIFICATION INDEX; URUGUAY; WATER QUALITY; WATER QUALITY INDEX. |
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Asunto categoría : |
P10 Recursos hídricos y su ordenación |
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Marc : |
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008 2018 bl uuuu u00u1 u #d
022 $a0167-6369
024 7 $a10.1007/s10661-018-7090-8$2DOI
100 1 $aEGUREN, G.
245 $aWater quality index for agricultural systems in Northwest Uruguay.$h[electronic resource]
260 $c2018
500 $aArticle history: Received: 17 April 2018 // Accepted: 30 October 2018 // Published online: 10 November 2018.
520 $aABSTRACT. Agricultural systems have experienced rapid expansion and intensification in the last several decades. In Uruguay, since the beginning of 2000, the most common cropping systems have included soybeans. Currently, this crop is expanding towards lowlands traditionally occupied by rice in rotation with pastures. However, the environmental effects of agricultural intensification and diversification are not well known. Thus, some indices have been proposed to quantify the changes in agricultural production systems and assess water quality. The main goal of this study was to develop a water quality index (WQI) to assess the impacts of the diversification of rice production systems in northwest Uruguay. The study was carried out in an agricultural basin where other summer crops have been incorporated in the rice-pasture sequence. Agriculture intensification and crop diversification indices were calculated using information provided by farmers. Water samples were collected downstream of the production area before crop sowing and after crop harvest (2008-2009 to 2010-2011 and 2016-2017 to 2017-2018). Biochemical oxygen demand, nitrates, total phosphorus, fecal coliforms, and total suspended solids were the variables that mainly explained the effects of the agricultural activities on water quality. The proposed water quality index included these unweighted variables, which allowed for the pre-sowing and post-harvest to be differentiated, as well as the degree of diversification. Therefore, the proposed WQI constitutes a tool that can be used to evaluate the water quality in an agricultural basin. Likewise, it can be used to select agricultural sequences that generate the least possible impacts on the associated water resources. © Springer Nature Switzerland AG 2018
653 $aAGRICULTURAL SYSTEMS
653 $aAGRICULTURE INTENSIFICATION
653 $aCROP DIVERSIFICATION INDEX
653 $aURUGUAY
653 $aWATER QUALITY
653 $aWATER QUALITY INDEX
700 1 $aRIVAS-RIVERA, N.
700 1 $aGARCIA, C.
700 1 $aBÖCKING, B.
700 1 $aBANDEIRA, S.
773 $tEnvironmental Monitoring and Assessment, 2018, volume 190, Issue 12, page 710.
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