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| Registros recuperados : 223 | |
| 142. |  | MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LEGARRA, A.; VAN RADEN, P.M.; LAWLOR, T.J. Methods to approximate reliabilities in single-step genomic evaluation. Journal of Dairy Science, 2013, v.96, no.1, p.647-654. OPEN ACCESS. Article history: Received April 24, 2012. / Accepted September 18, 2012.| Biblioteca(s): INIA Las Brujas. |
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| 143. | | 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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| 144. | | CIAPPESONI, G.; NAVAJAS, E.; BAPTISTA, R.; AGUILAR, I.; PERAZA, P.; CARRACELAS, B.; DE BARBIERI, I. Proyecto SMARTER. INIA ya está en el Mundial de la Genética Ovina. Producción Animal. Revista INIA Uruguay, Marzo 2022, no.68, p.15-18. (Revista INIA; 68).| Biblioteca(s): INIA Las Brujas. |
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| 149. | | 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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| 150. | | NAVAJAS, E.; RAVAGNOLO, O.; AGUILAR, I.; CIAPPESONI, G.; PERAZA, P.; DALLA RIZZA, M.; MONTOSSI, F. Selección genómica animal: quién, cómo y dónde. ln: INIA TACUAREMBÓ. UNIDAD DE BIOTECNOLOGÍA INIA. Jornada técnica. Jornada de Agrobiotecnología INIA, 15 NOVIEMBRE, Tacuarembó, Biotecnología para el sector productivo: situación actual y perspectivas. Tacuarembó (Uruguay): INIA, 2012. p. 17-19 (INIA Serie Actividades de Difusión; 702) INIA Tacuarembó| Biblioteca(s): INIA Tacuarembó. |
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| 151. | | MISZTAL, I.; AGUILAR, I.; TSURUTA, S.; SÁNCHEZ, J.P.; ZUMBACH, B. Studies on heat stress in dairy cattle and pigs. Volume Special topics: Animal breeding and the environmental challenges - Lecture Sessions, 0625. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0625.| Biblioteca(s): INIA Las Brujas. |
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| 152. | | LADO, B.; VÁZQUEZ, D.; QUINCKE, M.; SILVA, P.; AGUILAR, I.; GUTIÉRREZ, L. Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality. [Original article]. Theoretical and Applied Genetics, 1 December 2018, Volume 131, Issue 12, pp. 2719-2731. OPEN ACCESS. Article history: Received: 29 January 2018 / Accepted: 10 September 2018 / Published online: 19 September 2018.
Supplementary materials.
Acknowledgements: We express our appreciation for the effort of the technical personnel of INIA La...| Biblioteca(s): INIA Las Brujas. |
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| 153. | | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP. Genetics, Selection, Evolution : GSE, 2022, Volume 54, Issue 1, Pages 66. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-022-00752-4 Article history: Received 22 March 2022; Accepted 23 August 2022; Published 27 September 2022.| Biblioteca(s): INIA Las Brujas. |
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| 154. | | MISZTAL, I.; AGUILAR, I.; LEGARRA, A.; JOHNSON, D.; TSURUTA, S.; LAWLOR, T. J. A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation. Volume Methods and tools: Software and bioinformatics - Lecture Sessions, 0050. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0050. Acknowledgements: This study was partially funded by the Holstein Association, Smithfield Premium Genetics, and AFRI grants 2009-65205-05665 and 2010-65205-20366 from the USDA NIFA Animal Genome Program.| Biblioteca(s): INIA Las Brujas. |
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| 156. | | FRAGOMENI, B.O.; LOURENCO, D.A.L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; MISZTAL, I. Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses - a simulation study. Journal of Animal Breeding and Genetics, 2015, v.132, no.5, p. 340-345.| Biblioteca(s): INIA Las Brujas. |
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| 157. | | AGUILAR, I.; MISZTAL, I.; JOHNSON, D. L.; LEGARRA, A.; TSURUTA, S.; LAWLOR, T. J. Uso de información genómica en evaluaciones genéticas. Agrociencia Uruguay, 2010, v. 14, no. 3, p. 43-47. Agrociencia, Nro especial: Congreso Asociación Uruguaya de Producción Animal, 3., 4-5 Noviembre 2010, Montevideo, UY: INIA, Facultad de Agronomía, SMVU.| Biblioteca(s): INIA Las Brujas. |
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| 158. | | LOURENCO, D.A.L.; MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LAWLOR, T.J.; FORNI, S.; WELLER, J.I. Are evaluations on young genotyped animals benefiting from the past generations?. Journal of Dairy Science, 2014, v.97, no.6, p.3930-3942. OPEN ACCESS Article history: Received November 26, 2013. // Accepted February 11, 2014. OPEN ACCESS| Biblioteca(s): INIA Las Brujas. |
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| 159. | | MOTTA, R. R.; SILVA, F. F.; LOPES, P. S.; TEMPELMAN, R. J.; SOLLERO, B. P.; AGUILAR, I.; CARDOSO, F. F. Analyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle. Animal, 2018, volume 12, Issue 2, pages 205-214. OPEN ACCESS. doi: https://doi.org/10.1017/S1751731117001562 Article history: Received 12 December 2016; Accepted 22 May 2017; Published online: 13 July 2017.
Corresponding author: R.R. Mota, Gembloux Agro-Bio Tech Faculty, TERRA Teaching and Research Centre, University of Liège, B-5030 Gembloux,...| Biblioteca(s): INIA Las Brujas. |
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| 160. | | LEMA, O.M.; BRITO, G.; CLARIGET, J.; PEREZ, E.; LA MANNA, A.; RAVAGNOLO, O.; AGUILAR, I.; MONTOSSI, F. Dos años de evaluación de ganancia diaria invernal de terneros con paternidad conocida sobre la recría y terminación.[Presentación oral]. In: CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL, 38., 2015. Resúmenes. Santa Rosa, La Pampa, AR: ASAS/AAPA, 2015| Biblioteca(s): INIA Treinta y Tres. |
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| Registros recuperados : 223 | |
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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 : |
11/01/2023 |
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Actualizado : |
21/03/2023 |
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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 : |
NEAL, A. L.; BARRAT, H. A.; BACQ-LEBREUIL, A.; QIN, Y.; ZHANG, X.; TAKAHASHI, T.; RUBIO, V.; HUGHES, D.; CLARK, I. M.; CÁRDENAS, L. M.; GARDINER, L. J.; KRISHNA, R.; GLENDINING, M. L.; RITZ, K.; MOONEY, S. J.; CRAWFORD, J. W. |
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Afiliación : |
ANDREW L. NEAL, Net Zero and Resilient Farming, Rothamsted Research, North Wyke, United Kingdom; HARRY A. BARRAT, Net Zero and Resilient Farming, Rothamsted Research, North Wyke, United Kingdom; The Carbon Trust, London, United Kingdom; AURÉLIE BACQ-LEBREUIL, School of Biosciences, The University of Nottingham, Sutton Bonington, United Kingdom; Genesis, Lisors, France; YUWEI QIN, Department of Environmental Sciences, Wageningen University, Wageningen, Netherlands; XIAOXIAN ZHANG, Sustainable Soils and Crops, Rothamsted Research, Harpenden, United Kingdom; TARO TAKAHASHI, Net Zero and Resilient Farming, Rothamsted Research, North Wyke, United Kingdom; Bristol Veterinary School, University of Bristol, Langford, United Kingdom; VALENTINA RUBIO DELLEPIANE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; School of Integrative Plant Science, Cornell University, Ithaca, NY, United States; DAVID HUGHES, Intelligent Data Ecosystems, Rothamsted Research, Harpenden, United Kingdom; IAN M. CLARK, Sustainable Soils and Crops, Rothamsted Research, Harpenden, United Kingdom; LAURA M. CÁRDENAS, Net Zero and Resilient Farming, Rothamsted Research, North Wyke, United Kingdom; LAURA-JAYNE GARDINER, IBM Research Europe - Daresbury, The Hartree Centre, Warrington, United Kingdom; RITESH KRISHNA, IBM Research Europe - Daresbury, The Hartree Centre, Warrington, United Kingdom; MARGARET L. GLENDINING, Intelligent Data Ecosystems, Rothamsted Research, Harpenden, United Kingdom; KARL RITZ, School of Biosciences, The University of Nottingham, Sutton Bonington, United Kingdom; SACHA J. MOONEY, School of Biosciences, The University of Nottingham, Sutton Bonington, United Kingdom; JOHN W. CRAWFORD, Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom. |
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Título : |
Arable soil nitrogen dynamics reflect organic inputs via the extended composite phenotype. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Nature Food, 2023, Volume 4, Issue 1, Pages 51 - 60. doi: https://doi.org/10.1038/s43016-022-00671-z |
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ISSN : |
2662-1355 |
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DOI : |
10.1038/s43016-022-00671-z |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 04 February 2022; Accepted 14 November 2022; Published 23 December 2022. -- Corresponding author: Neal, A.L.; Net Zero and Resilient Farming, Rothamsted Research, North Wyke, United Kingdom; email:andy.neal@rothamsted.ac.uk -- Supplementary information - https://static-content.springer.com/esm/art%3A10.1038%2Fs43016-022-00671-z/MediaObjects/43016_2022_671_MOESM1_ESM.pdf -- FUNDING: This research was supported by UK Research and Innovation?s (UKRI) Biotechnology and Biological Science Research Council (BBSRC)-funded Soil to Nutrition strategic programme (BBS/E/C/000I0310 for A.L.N., X.Z., D.H., I.M.C. and J.W.C., and BBS/E/C/000I0320 for T.T. and L.M.C.). The Broadbalk Wheat Experiment is part of the Rothamsted Long-term Experiments National Capability supported by BBSRC (BBS/E/C/000J0300 for M.L.G.) and the Lawes Agricultural Trust. H.A.B. was supported by funding from the Soils Training and Research Studentships programme provided by UKRI?s BBSRC and Natural Environment Research Council. L.-J.G. and R.K. were supported by the Hartree National Centre for Digital Innovation, a collaboration between UKRI's Science and Technology Facilities Council and IBM Research Europe. -- CHECK UPDATES:
http://crossmark.crossref.org/dialog/?doi=10.1038/s43016-022-00671-z&domain=pdf |
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Contenido : |
ABSTRACT.- Achieving food security requires resilient agricultural systems with improved nutrient-use efficiency, optimized water and nutrient storage in soils, and reduced gaseous emissions. Success relies on understanding coupled nitrogen and carbon metabolism in soils, their associated influences on soil structure and the processes controlling nitrogen transformations at scales relevant to microbial activity. Here we show that the influence of organic matter on arable soil nitrogen transformations can be decoded by integrating metagenomic data with soil structural parameters. Our approach provides a mechanistic explanation of why organic matter is effective in reducing nitrous oxide losses while supporting system resilience. The relationship between organic carbon, soil-connected porosity and flow rates at scales relevant to microbes suggests that important increases in nutrient-use efficiency could be achieved at lower organic carbon stocks than currently envisaged. © 2022, The Author(s), under exclusive licence to Springer Nature Limited. |
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Palabras claves : |
Agriculture; Environmental impacts; Greenhouse Gas; Soil Microbiology. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
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100 1 $aNEAL, A. L.
245 $aArable soil nitrogen dynamics reflect organic inputs via the extended composite phenotype.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 04 February 2022; Accepted 14 November 2022; Published 23 December 2022. -- Corresponding author: Neal, A.L.; Net Zero and Resilient Farming, Rothamsted Research, North Wyke, United Kingdom; email:andy.neal@rothamsted.ac.uk -- Supplementary information - https://static-content.springer.com/esm/art%3A10.1038%2Fs43016-022-00671-z/MediaObjects/43016_2022_671_MOESM1_ESM.pdf -- FUNDING: This research was supported by UK Research and Innovation?s (UKRI) Biotechnology and Biological Science Research Council (BBSRC)-funded Soil to Nutrition strategic programme (BBS/E/C/000I0310 for A.L.N., X.Z., D.H., I.M.C. and J.W.C., and BBS/E/C/000I0320 for T.T. and L.M.C.). The Broadbalk Wheat Experiment is part of the Rothamsted Long-term Experiments National Capability supported by BBSRC (BBS/E/C/000J0300 for M.L.G.) and the Lawes Agricultural Trust. H.A.B. was supported by funding from the Soils Training and Research Studentships programme provided by UKRI?s BBSRC and Natural Environment Research Council. L.-J.G. and R.K. were supported by the Hartree National Centre for Digital Innovation, a collaboration between UKRI's Science and Technology Facilities Council and IBM Research Europe. -- CHECK UPDATES: http://crossmark.crossref.org/dialog/?doi=10.1038/s43016-022-00671-z&domain=pdf
520 $aABSTRACT.- Achieving food security requires resilient agricultural systems with improved nutrient-use efficiency, optimized water and nutrient storage in soils, and reduced gaseous emissions. Success relies on understanding coupled nitrogen and carbon metabolism in soils, their associated influences on soil structure and the processes controlling nitrogen transformations at scales relevant to microbial activity. Here we show that the influence of organic matter on arable soil nitrogen transformations can be decoded by integrating metagenomic data with soil structural parameters. Our approach provides a mechanistic explanation of why organic matter is effective in reducing nitrous oxide losses while supporting system resilience. The relationship between organic carbon, soil-connected porosity and flow rates at scales relevant to microbes suggests that important increases in nutrient-use efficiency could be achieved at lower organic carbon stocks than currently envisaged. © 2022, The Author(s), under exclusive licence to Springer Nature Limited.
653 $aAgriculture
653 $aEnvironmental impacts
653 $aGreenhouse Gas
653 $aSoil Microbiology
700 1 $aBARRAT, H. A.
700 1 $aBACQ-LEBREUIL, A.
700 1 $aQIN, Y.
700 1 $aZHANG, X.
700 1 $aTAKAHASHI, T.
700 1 $aRUBIO, V.
700 1 $aHUGHES, D.
700 1 $aCLARK, I. M.
700 1 $aCÁRDENAS, L. M.
700 1 $aGARDINER, L. J.
700 1 $aKRISHNA, R.
700 1 $aGLENDINING, M. L.
700 1 $aRITZ, K.
700 1 $aMOONEY, S. J.
700 1 $aCRAWFORD, J. W.
773 $tNature Food, 2023, Volume 4, Issue 1, Pages 51 - 60. doi: https://doi.org/10.1038/s43016-022-00671-z
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