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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
26/07/2021 |
Actualizado : |
26/07/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
TSENG, C-M.; ROEL, A.; MACEDO, I.; MARELLA, M.; TERRA, J.A.; PITTELKOW, C. M. |
Afiliación : |
MENG-CHUN TSENG, Department of Crop Sciences, University of Illinois, Urbana, IL 61801, USA; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MUZIO MARELLA, Sociedad Anónima Molinos Arroceros Nacionales (SAMAN), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAMERON M. PITTELKOW, Department of Plant Sciences, University of California, Davis, CA 95616, USA. |
Título : |
Synergies and tradeoffs among yield, resource use efficiency, and environmental footprint indicators in rice systems. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Current Research in Environmental Sustainability, 2021, volume 3, 100070. OPEN ACCESS. DOI: https://doi.org/10.1016/j.crsust.2021.100070 |
DOI : |
10.1016/j.crsust.2021.100070 |
Idioma : |
Inglés |
Notas : |
Article history: Received 30 April 2021 / / Revised 12 July 2021 // Accepted 13 July 2021 // Available online 24 July 2021. |
Contenido : |
A major question facing global rice systems is the extent to which yield and resource use efficiency indicators can be simultaneously optimized to sustainably meet future food demand. However, research approaches for evaluating synergies and tradeoffs among multiple indicators have been limited to date. Using the case study of rice production in Uruguay, we quantified five cropping system performance indicators at the farm-level from 2012 to 2017, covering approximately 40% of national rice area. Results suggest that maximizing performance in one
indicator is associated with tradeoffs for other indicators, with no farm simultaneously ranking as a topperformer (defined as top 10% of farms) across all indicators. The gaps between the average and topperforming farms were largest for agrochemical contamination risk (33%) and smallest for yield (11%). Comparing the groups of top-performing farms within each indicator revealed opportunities for improving system-level performance via synergistic effects between yield and resource use efficiencies, but not between carbon footprint, agrochemical contamination risk, and other indicators. Importantly, synergistic effects were more pronounced for farms at lower compared to higher productivity levels, suggesting less room for ustainability improvements at higher yield levels, unless yields can be further increased without elevated inputs. Important factors to improve the aggregated sustainability index included N fertilizer rate and seeding date. With potential application to rice production systems worldwide, this study highlights an integrated research approach for quantifying synergies and tradeoffs among multiple indicators to understand opportunities for increasing crop yields without negatively impacting resource use efficiency and environmental footprint. MenosA major question facing global rice systems is the extent to which yield and resource use efficiency indicators can be simultaneously optimized to sustainably meet future food demand. However, research approaches for evaluating synergies and tradeoffs among multiple indicators have been limited to date. Using the case study of rice production in Uruguay, we quantified five cropping system performance indicators at the farm-level from 2012 to 2017, covering approximately 40% of national rice area. Results suggest that maximizing performance in one
indicator is associated with tradeoffs for other indicators, with no farm simultaneously ranking as a topperformer (defined as top 10% of farms) across all indicators. The gaps between the average and topperforming farms were largest for agrochemical contamination risk (33%) and smallest for yield (11%). Comparing the groups of top-performing farms within each indicator revealed opportunities for improving system-level performance via synergistic effects between yield and resource use efficiencies, but not between carbon footprint, agrochemical contamination risk, and other indicators. Importantly, synergistic effects were more pronounced for farms at lower compared to higher productivity levels, suggesting less room for ustainability improvements at higher yield levels, unless yields can be further increased without elevated inputs. Important factors to improve the aggregated sustainability index included N fertilizer rate and seed... Presentar Todo |
Palabras claves : |
CARBON FOOTPRINT; ENVIRONMENTAL IMPACT; NITROGEN USE EFFICIENCE; RICE; SUSTAINABILITY; TRADEOFFS. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15908/1/Current-Research-Environmental-Sustainability-2021-3-100070.pdf
https://www.sciencedirect.com/science/article/pii/S2666049021000463
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Marc : |
LEADER 02847naa a2200277 a 4500 001 1062325 005 2021-07-26 008 2021 bl uuuu u00u1 u #d 024 7 $a10.1016/j.crsust.2021.100070$2DOI 100 1 $aTSENG, C-M. 245 $aSynergies and tradeoffs among yield, resource use efficiency, and environmental footprint indicators in rice systems.$h[electronic resource] 260 $c2021 500 $aArticle history: Received 30 April 2021 / / Revised 12 July 2021 // Accepted 13 July 2021 // Available online 24 July 2021. 520 $aA major question facing global rice systems is the extent to which yield and resource use efficiency indicators can be simultaneously optimized to sustainably meet future food demand. However, research approaches for evaluating synergies and tradeoffs among multiple indicators have been limited to date. Using the case study of rice production in Uruguay, we quantified five cropping system performance indicators at the farm-level from 2012 to 2017, covering approximately 40% of national rice area. Results suggest that maximizing performance in one indicator is associated with tradeoffs for other indicators, with no farm simultaneously ranking as a topperformer (defined as top 10% of farms) across all indicators. The gaps between the average and topperforming farms were largest for agrochemical contamination risk (33%) and smallest for yield (11%). Comparing the groups of top-performing farms within each indicator revealed opportunities for improving system-level performance via synergistic effects between yield and resource use efficiencies, but not between carbon footprint, agrochemical contamination risk, and other indicators. Importantly, synergistic effects were more pronounced for farms at lower compared to higher productivity levels, suggesting less room for ustainability improvements at higher yield levels, unless yields can be further increased without elevated inputs. Important factors to improve the aggregated sustainability index included N fertilizer rate and seeding date. With potential application to rice production systems worldwide, this study highlights an integrated research approach for quantifying synergies and tradeoffs among multiple indicators to understand opportunities for increasing crop yields without negatively impacting resource use efficiency and environmental footprint. 653 $aCARBON FOOTPRINT 653 $aENVIRONMENTAL IMPACT 653 $aNITROGEN USE EFFICIENCE 653 $aRICE 653 $aSUSTAINABILITY 653 $aTRADEOFFS 700 1 $aROEL, A. 700 1 $aMACEDO, I. 700 1 $aMARELLA, M. 700 1 $aTERRA, J.A. 700 1 $aPITTELKOW, C. M. 773 $tCurrent Research in Environmental Sustainability, 2021, volume 3, 100070. OPEN ACCESS. DOI: https://doi.org/10.1016/j.crsust.2021.100070
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Registro original : |
INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
21/11/2022 |
Actualizado : |
21/11/2022 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
FEDERICI, M.; RIGAMONTI, N.; ROVIRA, P.J.; TORRES, P.; MARTÍNEZ, S.; FERRARI, G.; SIMÓN, C.; AUBRIOT, L.; CIGANDA, V. |
Afiliación : |
MARIA TERESA FEDERICI RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NATALIA RIGAMONTI, Laboratorio Tecnológico del Uruguay- LATU, Uruguay; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO ANDRES TORRES ASTETE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SOFÍA MARTÍNEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GRACIELA FERRARI, Laboratorio Tecnológico del Uruguay- LATU, Uruguay; CLAUDIA SIMÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS AUBRIOT, Universidad de la República - Uruguay; VERONICA SOLANGE CIGANDA BRASCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Aplicación de técnicas clásicas de microscopía y basadas en ADN para el análisis de las comunidades de microorganismos y cianobacterias del sedimento en el Embalse Rincón del Bonete - Uruguay. [resumen]. |
Complemento del título : |
APLICACIÓN DE TÉCNICAS CLÁSICAS DE MICROSCOPÍA Y
BASADAS EN ADN PARA EL ANÁLISIS DE LAS COMUNIDADES DE MICROORGANISMOS Y CIANOBACTERIAS DEL SEDIMENTO EN EL EMBALSE RINCÓN DEL BONETE- URUGUAY |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
In: REDBIO México 2022, XI Congreso, "Biotecnología productiva y sostenible". Libro de resúmenes. 12-14 octubre 2022, Yucatán, México. p.127. |
Idioma : |
Español |
Notas : |
Agradecimientos: A los Institutos INIA y LATU con sus respectivas autoridades por la cofinanciación del Proyecto: "Desarrollo y Aplicación de nuevas herramientas moleculares y espectrales para el estudio de las comunidades de cianobacterias en aguas continentales: estudio de caso Embalse Rincón del Bonete", proyecto marco del trabajo aquí presentado. |
Contenido : |
El objetivo de este trabajo fue el estudio de las poblaciones de cianobacterias y microrganismos asociados al sedimento utilizando 3 metodologías distintas: microscopía óptica, secuenciación del gen 16S ARNr, y qPCR. |
Palabras claves : |
ARNr; QPCR. |
Thesagro : |
CIANOBACTERIAS. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16869/1/Federici-MT.-REDBIO-Mexico-2022.pdf
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Marc : |
LEADER 01479nam a2200253 a 4500 001 1063771 005 2022-11-21 008 2022 bl uuuu u01u1 u #d 100 1 $aFEDERICI, M. 245 $aAplicación de técnicas clásicas de microscopía y basadas en ADN para el análisis de las comunidades de microorganismos y cianobacterias del sedimento en el Embalse Rincón del Bonete - Uruguay. [resumen].$h[electronic resource] 260 $aIn: REDBIO México 2022, XI Congreso, "Biotecnología productiva y sostenible". Libro de resúmenes. 12-14 octubre 2022, Yucatán, México. p.127.$c2022 500 $aAgradecimientos: A los Institutos INIA y LATU con sus respectivas autoridades por la cofinanciación del Proyecto: "Desarrollo y Aplicación de nuevas herramientas moleculares y espectrales para el estudio de las comunidades de cianobacterias en aguas continentales: estudio de caso Embalse Rincón del Bonete", proyecto marco del trabajo aquí presentado. 520 $aEl objetivo de este trabajo fue el estudio de las poblaciones de cianobacterias y microrganismos asociados al sedimento utilizando 3 metodologías distintas: microscopía óptica, secuenciación del gen 16S ARNr, y qPCR. 650 $aCIANOBACTERIAS 653 $aARNr 653 $aQPCR 700 1 $aRIGAMONTI, N. 700 1 $aROVIRA, P.J. 700 1 $aTORRES, P. 700 1 $aMARTÍNEZ, S. 700 1 $aFERRARI, G. 700 1 $aSIMÓN, C. 700 1 $aAUBRIOT, L. 700 1 $aCIGANDA, V.
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