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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
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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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 : |
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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INIA Treinta y Tres (TT) |
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| Registros recuperados : 62 | |
| 3. |  | GUTIÉRREZ, L.; LADO, B.; GONZÁLEZ, P.; SILVA, P.; QUINCKE, M. Handling Genotype-By-Environment Interaction in Genomic Selection to Predict New Genotypes and New Environments. [P0814] In: International Plant & Animal Genome, Conference PAG XXIV, "The largest Ag-genomics Meeting in the World San Diego, CA, USA; January 9-13, 2016. [Abstract] .| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 5. | | PÉREZ, O.; VIEGA, L.; GUTIÉRREZ, L.; CASTRO, M. Post-anthesis water deficit in spring wheat: effects on yield components and relative water content. In: SEMINARIO INTERNACIONAL DE TRIGO, 2014, La Estanzuela, Colonia, UY. GERMÁN, S., et al. (Org.). 1914-2014, un siglo de mejoramiento de trigo en La Estanzuela: un valioso legado para el futuro: resúmenes; posters. La Estanzuela, Colonia, UY: INIA, 2014. p. 41.| Biblioteca(s): INIA La Estanzuela. |
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| 6. | | PÉREZ, O.; VIEGA, L.; GUTIERREZ, L.; CASTRO, M. Post-anthesis water deficit in spring wheat: effects on yield components and relative water content. [Poster]. In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. P.130. (INIA Serie Técnica; 241).| Biblioteca(s): INIA La Estanzuela. |
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| 7. | | PEREYRA, S.; GERMAN, S.; GONZÁLEZ, S.N.; CASTRO, A.; GAMBA, F.; GUTIERREZ, L. Advances in the integrated management of leaf blotches in Uruguay. In: International Workshop on Barley Leaf Diseases , 2o. Rabat, Morocco: The International Center for Agricultural Research in the Dry Areas (ICARDA), April 5-7, 2017. p. 46.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA La Estanzuela. |
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| 8. | | BORGES, A.; GONZÁLEZ-REYMUNDEZ, A.; ERNST, O.; CADENAZZI, M.; TERRA, J.A.; GUTIÉRREZ, L. Can spatial modeling substitute experimental design in agricultural experiments? Crop Science, 2018, v. 59, no. 1, p. 1-10. Article history: Accepted paper, posted 10/05/18. Published online December, 13. 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Treinta y Tres. |
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| 9. | | GUTIÉRREZ, L.; BERBERIAN, N.; CAPETTINI, F.; GERMAN, S.; PEREYRA, S.; PÉREZ, C.; CASTRO, A. Disease resistance QTLs in barley germplasm from Latin America In: INTERNATIONAL ANIMAL AND PLANT GENOME CONFERENCE, 20., 2012, San Diego, CA, US. Posters: wheat, barley, oat, and related. P0350. [s.l.: INTL-PAG], 2012.| Biblioteca(s): INIA La Estanzuela. |
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| 10. | | CAJARVILLE, C.; BRITOS, A.; ERRANDONEA, N.; GUTIÉRREZ, L.; COZZOLINO, D.; REPETTO, J.L. Diurnal changes in water-soluble carbohydrate concentration in lucerne and tall fescue in autumn and the effects on in vitro fermentation. Research Article. New Zealand Journal of Agricultural Research, 2015, v. 58, no.3, p. 281-291. Article history: Received 23 January 2014 // Accepted 5 February 2015.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 11. | | PORTA, B.; CONDON, F.; BONNECARRERE, V.; GUTIÉRREZ, L.; FRANCO, J.; GALVÁN, G. Diversidad y estructura genética del germoplasma de maíz blanco dentad de Uruguay mediante microsatélites. [Resumen]. In: SIMPÓSIO DE RECURSOS GENÉTICOS PARA A AMÉRICA LATINA E CARIBE, 10., 2015, Bento Gonçalves. Recursos genéticos no século 21: de Vavilov a Svalbard. Anais... [s.l.]: Sociedade Brasileira de Recursos Genéticos, 2015. p.65. Agradecimientos: Comisión Sectorial de Investigación Científica, CSIC - UdelaR, Uruguay.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 12. | | GUTIERREZ, L.; BORGES, A.; QUERO, G.; GONZALEZ-REYMUNDEZ, A.; BERRO, I.; LADO, B.; CASTRO, A. Biostatistical tools for plant breeding in the genomics era. In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. p.46-57. (INIA Serie Técnica; 241).| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA La Estanzuela. |
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| 13. | | LADO,B.; BATTENFIELD, S.; POLAND, J.; QUINCKE, M.; SILVA, P.; GUTIÉRREZ, L. Comparación de metodologías de predicción de cruzamientos para rendimiento en trigo. MV 14 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016 p. 287.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA La Estanzuela. |
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| 14. | | REBOLLO, I.; AGUILAR, I.; PÉREZ DE VIDA, F.; MOLINA, F.; GUTIÉRREZ, L.; ROSAS, J.E. Genotype by environment interaction characterization and its modeling with random regression to climatic variables in two rice breeding populations. Original article. Crop Science. 2023, Volume 63, Issue 4, Pages 2220-2240. https://doi.org/10.1002/csc2.21029 -- OPEN ACCESS. Article history: Received 21 November 2022, Accepted 10 May 2023, Published online 16 June 2023. -- Correspondence: Rosas, J.E.; INIA, Estación Experimental Treinta y Tres, Road 8 km 281, Treinta y Tres, Uruguay; email:jrosas@inia.org.uy...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 15. | | QUERO, C.; FERNANDEZ, S.; BRANDARIZ, S.B.; SIMONDI, S.; GUTIÉRREZ, L. Herramientas de análisis y visualización genómica. MV 10 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 285| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
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| 18. | | BERBERIAN, N.; CASTRO, A.; CAPETTINI, F.; FROS, D.; GERMAN, S.; PEREYRA, S.; PEREZ, C.; GUTIÉRREZ, L. Modelos mixtos para la identificación de QTL para enfermedades en cebada a traves de mapeo asociativo. In: REUNIÓN CIENTIFICA DEL GRUPO ARGENTINO DE BIOMETRÍA, 16., 2011, Salta, AR. Libro de resúmenes: modelos lineales y generalizados mixtos. La Plata: GAB, 2011. p. 108.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA La Estanzuela. |
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| 19. | | GONZÁLEZ BARRIOS, P.; PÉREZ, O.; CASTRO, M.; CERETTA, S.; VILARO, D.; GUTIÉRREZ, L. Identificación de limitantes a la expresión del potencial de rendimiento en girasol en Uruguay mediante GGE biplots y PLS regression. In: IV Encuentro Iberoamericano de Biometría; 4o. y XVIII Reunión Científica del GAB, 17o., Setiembre 2013, Mar del Plata ,ROMERO, M.C.; MARINELLI, C.; CEPEDA, R. Eds., La Plata, Bs As, Argentina: Grupo Argentino de Biometría. p. 236-239| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA La Estanzuela. |
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| 20. | | 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...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 62 | |
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