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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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 : |
LEADER 03471naa a2200385 a 4500
001 1063942
005 2023-03-21
008 2023 bl uuuu u00u1 u #d
022 $a2662-1355
024 7 $a10.1038/s43016-022-00671-z$2DOI
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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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
01/08/2022 |
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Actualizado : |
15/03/2023 |
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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 : |
NÚÑEZ, L.; HIRIGOYEN, A.; DURANTE, M.; ARROYO, J.; CAZZULI, F.; BREMM, C.; JAURENA, M. |
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Afiliación : |
LAURA NÚÑEZ SUÁREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTÍN DURANTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria (EEA) Concepción del Uruguay, Entre Ríos 3260, Argentina; JOSÉ ARROYO MARTÍNEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; FIORELLA CARLA CAZZULI ALBA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA BREMM, Programa de Pós-Graduação em Zootecnia, Departamento de Plantas Forrageiras e Agrometeorologia, Faculdade de Agronomia, Universidade Federal de Rio Grande do Sul, Porto Alegre 91540-000, Brazil; MARTIN ALEJANDRO JAURENA BARRIOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
What factors control the crude protein content variation of a basaltic "Campos" native grassland of South America? |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Agronomy, 2022, Volume 12, Issue 8, article 1756. OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12081756 |
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ISSN : |
2073-4395 (electronic) |
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DOI : |
10.3390/agronomy12081756 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 23 June 2022; Revised 14 July 2022; Accepted 19 July 2022; Published 26 July 2022.
Academic Editors: Edward B. Rayburn, Thomas C. Griggs and Deidre D. Harmon. -- This article belongs to the Special Issue Management of Grasslands: Forage Growth and Nutritive Composition, Livestock Grazing and Performance: https://www.mdpi.com/journal/agronomy/special_issues/forage_growth_livestock_grazing --
Funding: This study was financially supported by the project Decision Support System for Native Grasslands Management of INIA-Uruguay (PA_23); and this research was funded by INIA Uruguay and ANII through a Master of Science scholarship POS_NAC_2017_1_141614 awarded to Laura Núñez. --
LICENSE: License MDPI, Basel, Switzerland. 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/) -- |
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Contenido : |
ABSTRACT.- Native grasslands are the main source of food for livestock in the Campos region of South America. These forage resources are heterogeneous in species composition, grazing management, and soil fertility within a context of variable climate, all of which are factors that affect forage crude protein content over time and space. Despite the importance of protein in livestock nutrition, there is a gap in the knowledge of how fertilisation, sward height, and soil water availability influence the crude protein content of these grasslands. We used data from a long-term fertilisation experiment to construct a structural model aiming to identify the main factors influencing forage crude protein content of a basaltic native grassland in northern Uruguay. The structural model revealed that both fertilisation and the increase in soil water availability (through the improvement of the nitrogen content of green leaves) are the main pathways by which forage crude protein content increases. This new approach (which identifies and quantifies the main factors that drive forage crude protein content of native grasslands) could be used to support prediction models for forage protein content in order to improve grazing livestock nutrition of Campos native grasslands.
Copyright: © 2022 by the authors. |
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Palabras claves : |
Fertilisation; Forage crude protein content; Native grasslands; Soil water availability; Sward height. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16769/1/agronomy-12-01756-v2.pdf
https://www.mdpi.com/2073-4395/12/8/1756/pdf
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Marc : |
LEADER 03165naa a2200289 a 4500
001 1063477
005 2023-03-15
008 2022 bl uuuu u00u1 u #d
022 $a2073-4395 (electronic)
024 7 $a10.3390/agronomy12081756$2DOI
100 1 $aNÚÑEZ, L.
245 $aWhat factors control the crude protein content variation of a basaltic "Campos" native grassland of South America?$h[electronic resource]
260 $c2022
500 $aArticle history: Received 23 June 2022; Revised 14 July 2022; Accepted 19 July 2022; Published 26 July 2022. Academic Editors: Edward B. Rayburn, Thomas C. Griggs and Deidre D. Harmon. -- This article belongs to the Special Issue Management of Grasslands: Forage Growth and Nutritive Composition, Livestock Grazing and Performance: https://www.mdpi.com/journal/agronomy/special_issues/forage_growth_livestock_grazing -- Funding: This study was financially supported by the project Decision Support System for Native Grasslands Management of INIA-Uruguay (PA_23); and this research was funded by INIA Uruguay and ANII through a Master of Science scholarship POS_NAC_2017_1_141614 awarded to Laura Núñez. -- LICENSE: License MDPI, Basel, Switzerland. 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/) --
520 $aABSTRACT.- Native grasslands are the main source of food for livestock in the Campos region of South America. These forage resources are heterogeneous in species composition, grazing management, and soil fertility within a context of variable climate, all of which are factors that affect forage crude protein content over time and space. Despite the importance of protein in livestock nutrition, there is a gap in the knowledge of how fertilisation, sward height, and soil water availability influence the crude protein content of these grasslands. We used data from a long-term fertilisation experiment to construct a structural model aiming to identify the main factors influencing forage crude protein content of a basaltic native grassland in northern Uruguay. The structural model revealed that both fertilisation and the increase in soil water availability (through the improvement of the nitrogen content of green leaves) are the main pathways by which forage crude protein content increases. This new approach (which identifies and quantifies the main factors that drive forage crude protein content of native grasslands) could be used to support prediction models for forage protein content in order to improve grazing livestock nutrition of Campos native grasslands. Copyright: © 2022 by the authors.
653 $aFertilisation
653 $aForage crude protein content
653 $aNative grasslands
653 $aSoil water availability
653 $aSward height
700 1 $aHIRIGOYEN, A.
700 1 $aDURANTE, M.
700 1 $aARROYO, J.
700 1 $aCAZZULI, F.
700 1 $aBREMM, C.
700 1 $aJAURENA, M.
773 $tAgronomy, 2022, Volume 12, Issue 8, article 1756. OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12081756
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