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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
04/03/2020 |
Actualizado : |
05/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
LÓPEZ-AIZPÚN, M.; HORROCKS,C.A.; CHARTERIS, A.F.; MARSDEN, K.A.; CIGANDA, V.; EVANS, J.R.; CHADWICK, D.R.; CÁRDENAS, L.M. |
Afiliación : |
MARIA LÓPEZ-AIZPÚN1, Rothamsted Research, Okehampton, UK.; CLAIRE A. HORROCKS, Rothamsted Research, Okehampton, UK; ALICE F. CHARTERIS, Rothamsted Research, Okehampton, UK.; KARINA A. MARSDEN, School of Natural Sciences, Bangor University, Bangor, UK.; VERONICA SOLANGE CIGANDA BRASCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JESS R. EVANS, Rothamsted Research, Okehampton, UK.; DAVID R. CHADWICK, School of Natural Sciences, Bangor University, Bangor, UK.; LAURA M. CÁRDENAS, Rothamsted Research, Okehampton, UK. |
Título : |
Meta-analysis of global livestock urine-derived nitrous oxide emissions from agricultural soils. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Global Change Biology, 1 April 2020, Volume 26, Issue 4, Pages 2002-2013. Doi:https://doi.org/10.1111/gcb.15012 |
DOI : |
10.1111/gcb.15012 |
Idioma : |
Inglés |
Notas : |
Article history:Received: 3 December 2019//Accepted: 6 January 2020.We are grateful to the UK Biotechnology and Biological Sciences Research Council (BBSRC)?funded Soils to Nutrition project (BBS/E/C/000I0320) and the UK Natural Environment Research Council (NERC)?funded Uplands N2O project (NE/MO13847/1 and NE/M015351/1) for supporting this work. We are also in debt to several researchers for providing information to fulfil statistical requirements for the data analysis: Bruce Ball; Arlete Simões Barneze; Hong Di; Jeferson Dieckow; Patrick Forrestal; Dominika Krol; Jiafa Luo; Pascal Niklaus; Kate Tully and Sirwan Yamulki. |
Contenido : |
Abstract:
Nitrous oxide (N2O) is an air pollutant of major environmental concern, with agriculture representing 60% of anthropogenic global N2O emissions. Much of the N2O emissions from livestock production systems result from transformation of N deposited to soil within animal excreta. There exists a substantial body of literature on urine patch N2O dynamics, we aimed to identify key controlling factors influencing N2O emissions and to aid understanding of knowledge gaps to improve GHG reporting and prioritize future research. We conducted an extensive literature review and random effect meta?analysis (using REML) of results to identify key relationships between multiple potential independent factors and global N2O emissions factors (EFs) from urine patches. Mean air temperature, soil pH and ruminant animal species (sheep or cow) were significant factors influencing the EFs reviewed. However, several factors that are known to influence N2O emissions, such as animal diet and urine composition, could not be considered due to the lack of reported data. The review highlighted a widespread tendency for inadequate metadata and uncertainty reporting in the published studies, as well as the limited geographical extent of investigations, which are more often conducted in temperate regions thus far. Therefore, here we give recommendations for factors that are likely to affect the EFs and should be included in all future studies, these include the following: soil pH and texture; experimental set?up; direct measurement of soil moisture and temperature during the study period; amount and composition of urine applied; animal type and diet; N2O emissions with a measure of uncertainty; data from a control with zero?N application and meteorological data. MenosAbstract:
Nitrous oxide (N2O) is an air pollutant of major environmental concern, with agriculture representing 60% of anthropogenic global N2O emissions. Much of the N2O emissions from livestock production systems result from transformation of N deposited to soil within animal excreta. There exists a substantial body of literature on urine patch N2O dynamics, we aimed to identify key controlling factors influencing N2O emissions and to aid understanding of knowledge gaps to improve GHG reporting and prioritize future research. We conducted an extensive literature review and random effect meta?analysis (using REML) of results to identify key relationships between multiple potential independent factors and global N2O emissions factors (EFs) from urine patches. Mean air temperature, soil pH and ruminant animal species (sheep or cow) were significant factors influencing the EFs reviewed. However, several factors that are known to influence N2O emissions, such as animal diet and urine composition, could not be considered due to the lack of reported data. The review highlighted a widespread tendency for inadequate metadata and uncertainty reporting in the published studies, as well as the limited geographical extent of investigations, which are more often conducted in temperate regions thus far. Therefore, here we give recommendations for factors that are likely to affect the EFs and should be included in all future studies, these include the following: soil pH and texture; exper... Presentar Todo |
Palabras claves : |
EMISSION FACTORS; GRASSLAND; GRAZING LIVESTOCK; GREENHOUSE GAS; N2O; PASTOREO DE GANADO; URINE PATCH. |
Thesagro : |
GASES DE EFECTO INVERNADERO; OXIDO NITROSO; PASTOREO. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14289/1/gcb.15012.pdf
https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.15012
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Marc : |
LEADER 03431naa a2200349 a 4500 001 1060889 005 2022-09-05 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1111/gcb.15012$2DOI 100 1 $aLÓPEZ-AIZPÚN, M. 245 $aMeta-analysis of global livestock urine-derived nitrous oxide emissions from agricultural soils.$h[electronic resource] 260 $c2020 500 $aArticle history:Received: 3 December 2019//Accepted: 6 January 2020.We are grateful to the UK Biotechnology and Biological Sciences Research Council (BBSRC)?funded Soils to Nutrition project (BBS/E/C/000I0320) and the UK Natural Environment Research Council (NERC)?funded Uplands N2O project (NE/MO13847/1 and NE/M015351/1) for supporting this work. We are also in debt to several researchers for providing information to fulfil statistical requirements for the data analysis: Bruce Ball; Arlete Simões Barneze; Hong Di; Jeferson Dieckow; Patrick Forrestal; Dominika Krol; Jiafa Luo; Pascal Niklaus; Kate Tully and Sirwan Yamulki. 520 $aAbstract: Nitrous oxide (N2O) is an air pollutant of major environmental concern, with agriculture representing 60% of anthropogenic global N2O emissions. Much of the N2O emissions from livestock production systems result from transformation of N deposited to soil within animal excreta. There exists a substantial body of literature on urine patch N2O dynamics, we aimed to identify key controlling factors influencing N2O emissions and to aid understanding of knowledge gaps to improve GHG reporting and prioritize future research. We conducted an extensive literature review and random effect meta?analysis (using REML) of results to identify key relationships between multiple potential independent factors and global N2O emissions factors (EFs) from urine patches. Mean air temperature, soil pH and ruminant animal species (sheep or cow) were significant factors influencing the EFs reviewed. However, several factors that are known to influence N2O emissions, such as animal diet and urine composition, could not be considered due to the lack of reported data. The review highlighted a widespread tendency for inadequate metadata and uncertainty reporting in the published studies, as well as the limited geographical extent of investigations, which are more often conducted in temperate regions thus far. Therefore, here we give recommendations for factors that are likely to affect the EFs and should be included in all future studies, these include the following: soil pH and texture; experimental set?up; direct measurement of soil moisture and temperature during the study period; amount and composition of urine applied; animal type and diet; N2O emissions with a measure of uncertainty; data from a control with zero?N application and meteorological data. 650 $aGASES DE EFECTO INVERNADERO 650 $aOXIDO NITROSO 650 $aPASTOREO 653 $aEMISSION FACTORS 653 $aGRASSLAND 653 $aGRAZING LIVESTOCK 653 $aGREENHOUSE GAS 653 $aN2O 653 $aPASTOREO DE GANADO 653 $aURINE PATCH 700 1 $aHORROCKS,C.A. 700 1 $aCHARTERIS, A.F. 700 1 $aMARSDEN, K.A. 700 1 $aCIGANDA, V. 700 1 $aEVANS, J.R. 700 1 $aCHADWICK, D.R. 700 1 $aCÁRDENAS, L.M. 773 $tGlobal Change Biology, 1 April 2020, Volume 26, Issue 4, Pages 2002-2013. Doi:https://doi.org/10.1111/gcb.15012
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INIA La Estanzuela (LE) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
02/03/2020 |
Actualizado : |
02/03/2020 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
MOLTINI, A.; VICENTE, E.; ALCAIRE, F.; LUQUE, E.; PINTOS, P.; GHELFI, B.; ARES, G.; LADO, J. |
Afiliación : |
ANA INÉS MOLTINI PALADINO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; F. ALCAIRE; MAYZA ELEANA LUQUE NUÑEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PEDRO MAXIMILIANO PINTOS RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE BRIAN GHELFI DE SOUZA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; G. ARES; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Aplicación del Mapeo Proyectivo y CATA para mejorar la calidad sensorial de los cultivares de boniato uruguayos. [Resumen] |
Complemento del título : |
Ciclo Destacadas INIA 2019. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
In: INIA (Instituto Nacional de Investigación Agropecuaria); Programa Nacional Producción Hortícola. Resúmenes. Jornada Mejoramiento Genético de Hortalizas: Ciencia y Tecnología para la producción y el consumidor, 2019, Salto, Uruguay. Trabajos de investigación relacionados al proyecto. Salto (UY): INIA, 2019. p. 9-10. |
Idioma : |
Español |
Notas : |
Presentado en: Sensometrics 2018, Montevideo, Uruguay. |
Contenido : |
El programa de mejoramiento genético de boniato del Instituto Nacional de Investigación Agropecuaria (INIA) se focaliza en el desarrollo de nuevos cultivares destacados en su comportamiento agronómico (aspectos como rendimiento, forma, tamaño y resistencia a plagas y enfermedades) y cumplimiento de los estándares comerciales, así como con una calidad sensorial destacada. Los resultados obtenidos en el presente trabajo destacan el potencial de las metodologías sensoriales como herramientas clave para retroalimentar los programas de mejoramiento genético. |
Thesagro : |
BONIATO; FITOMEJORAMIENTO. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14241/1/Moltini-A.I.-2-Libro-Resumenes-2019.pdf
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Marc : |
LEADER 01562nam a2200229 a 4500 001 1060852 005 2020-03-02 008 2019 bl uuuu u01u1 u #d 100 1 $aMOLTINI, A. 245 $aAplicación del Mapeo Proyectivo y CATA para mejorar la calidad sensorial de los cultivares de boniato uruguayos. [Resumen]$h[electronic resource] 260 $aIn: INIA (Instituto Nacional de Investigación Agropecuaria); Programa Nacional Producción Hortícola. Resúmenes. Jornada Mejoramiento Genético de Hortalizas: Ciencia y Tecnología para la producción y el consumidor, 2019, Salto, Uruguay. Trabajos de investigación relacionados al proyecto. Salto (UY): INIA, 2019. p. 9-10.$c2019 500 $aPresentado en: Sensometrics 2018, Montevideo, Uruguay. 520 $aEl programa de mejoramiento genético de boniato del Instituto Nacional de Investigación Agropecuaria (INIA) se focaliza en el desarrollo de nuevos cultivares destacados en su comportamiento agronómico (aspectos como rendimiento, forma, tamaño y resistencia a plagas y enfermedades) y cumplimiento de los estándares comerciales, así como con una calidad sensorial destacada. Los resultados obtenidos en el presente trabajo destacan el potencial de las metodologías sensoriales como herramientas clave para retroalimentar los programas de mejoramiento genético. 650 $aBONIATO 650 $aFITOMEJORAMIENTO 700 1 $aVICENTE, E. 700 1 $aALCAIRE, F. 700 1 $aLUQUE, E. 700 1 $aPINTOS, P. 700 1 $aGHELFI, B. 700 1 $aARES, G. 700 1 $aLADO, J.
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