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| 3. |  | ARBOLEYA, J.; VILLAMIL, J.M.; ITOH, M. Efecto de la fecha de plantación de bulbos de cebolla sobre el rendimiento y calidad de la semilla. Investigaciones Agronómicas, 1986, Año 7, p. 22-30. (CIAAB Investigaciones Agronómicas; 7) Trabajo presentado en la 9a. Reunión Anual de la Asociación Argentina de Horticultura y 2da. Reunión Latinoamericana de Horticultura, La Plata, Argentina, Set. 15-19, 1986.| Biblioteca(s): INIA La Estanzuela. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
26/07/2021 |
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Actualizado : |
26/07/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
-- - -- |
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Autor : |
TSENG, C-M.; ROEL, A.; MACEDO, I.; MARELLA, M.; TERRA, J.A.; PITTELKOW, C. M. |
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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. |
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Título : |
Synergies and tradeoffs among yield, resource use efficiency, and environmental footprint indicators in rice systems. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Current Research in Environmental Sustainability, 2021, volume 3, 100070. OPEN ACCESS. DOI: https://doi.org/10.1016/j.crsust.2021.100070 |
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DOI : |
10.1016/j.crsust.2021.100070 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 30 April 2021 / / Revised 12 July 2021 // Accepted 13 July 2021 // Available online 24 July 2021. |
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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 |
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Palabras claves : |
CARBON FOOTPRINT; ENVIRONMENTAL IMPACT; NITROGEN USE EFFICIENCE; RICE; SUSTAINABILITY; TRADEOFFS. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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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 : |
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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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