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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
Fecha : |
25/01/2019 |
Actualizado : |
22/12/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
PRAVIA, V.; KEMANIAN, A. R.; TERRA, J.A.; SHI, Y.; MACEDO, I.; GOSLEE, S. |
Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ARMEN R. KEMANIAN, Department of Plant Science, The Pennsylvania State University, USA.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; YUNING SHI, Department of Ecosystem Science and Management, The Pennsylvania State University, USA.; IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SARAH GOSLEE, Pasture Systems and Watershed Management Research Unit, USDA-ARS, USA. |
Título : |
Soil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Agricultural Systems, May 2019, volume 171, pages 13-22. |
ISSN : |
0308-521X |
DOI : |
10.1016/j.agsy.2018.11.001 |
Idioma : |
Inglés |
Notas : |
Article history: Received 30 December 2017 // Received in revised form 2 November 2018 // Accepted 2 November 2018.
Funding for this work was provided by the Instituto Nacional de Investigación Agropecuaria (INIA-Uruguay) and the USDA-ARS Research Agreement Contract #58-1902-1-165 (Modeling of multispecies pasture growth and management). Appendices. |
Contenido : |
ABSTRACT.
Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that Cs saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling Cs saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems.
© 2018 Elsevier Ltd MenosABSTRACT.
Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N a... Presentar Todo |
Palabras claves : |
AGROECOSYSTEM MODELING; CROP PASTURE INTERSEEDNG; LONG-TERM EXPERIMENTS; SOIL ORGANIC MATTER. |
Thesagro : |
CARBONO ORGANICO DEL SUELO. |
Asunto categoría : |
-- P34 Biología del suelo |
Marc : |
LEADER 03007naa a2200277 a 4500 001 1059451 005 2020-12-22 008 2019 bl uuuu u00u1 u #d 022 $a0308-521X 024 7 $a10.1016/j.agsy.2018.11.001$2DOI 100 1 $aPRAVIA, V. 245 $aSoil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations.$h[electronic resource] 260 $c2019 500 $aArticle history: Received 30 December 2017 // Received in revised form 2 November 2018 // Accepted 2 November 2018. Funding for this work was provided by the Instituto Nacional de Investigación Agropecuaria (INIA-Uruguay) and the USDA-ARS Research Agreement Contract #58-1902-1-165 (Modeling of multispecies pasture growth and management). Appendices. 520 $aABSTRACT. Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that Cs saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling Cs saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems. © 2018 Elsevier Ltd 650 $aCARBONO ORGANICO DEL SUELO 653 $aAGROECOSYSTEM MODELING 653 $aCROP PASTURE INTERSEEDNG 653 $aLONG-TERM EXPERIMENTS 653 $aSOIL ORGANIC MATTER 700 1 $aKEMANIAN, A. R. 700 1 $aTERRA, J.A. 700 1 $aSHI, Y. 700 1 $aMACEDO, I. 700 1 $aGOSLEE, S. 773 $tAgricultural Systems, May 2019, volume 171, pages 13-22.
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181. | | DEAMBROSI, E.; ZORRILLA DE SAN MARTÍN, G.; LAUZ, M.; BLANCO, P.H.; TERRA, J.A. Rompiendo el techo de rendimiento del cultivo de arroz. Proyecto ANII ALI_1_2012_1_3507 (INIA, GMA-COOPAR, ACA) Zafra 2015-2016. ln: JORNADA ANUAL ARROZ, 2016, INIA TREINTA Y TRES, TREINTA Y TRES, UY. Arroz: resultados experimentales 2015-2016. Treinta y Tres, (Uruguay): INIA, 2016. Cap. 2, p. 1-4. (INIA, Serie Actividades de Difusión; 765) Acceso a publicación y presentación oral.Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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182. | | DEAMBROSI, E.; ZORRILLA DE SAN MARTÍN, G.; LAUZ, M.; BLANCO, P.H.; TERRA, J.A. Rompiendo el techo de rendimiento del cultivo de arroz. Proyecto ANII ALI_1_2012_1_3507 (INIA, GMA-COOPAR, ACA) Zafra 2016-2017 - Trabajos de validación. In: Zorrilla, G.; Martínez, S.; Saravia, H. (Eds.) Arroz 2017. Montevideo (UY): INIA, 2017. p. 89-93. (INIA Serie Técnica; 233)Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Treinta y Tres. |
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184. | | AYALA, W.; BARRIOS, E.; MACEDO, I.; SAWCHIK, J.; TERRA, J.A. Scouting benefits and developing innovations in temperate grassland to sustainable agriculture production. ln: Vijay, D.; Srivastava, M.K.; Grupta, C.K.; Malaviya, D.R.; roy, M.M.; Mahanta, S.K.; Singh, J. B.; Maity, A.; Grosh, P.K., eds. Sustainable use of grassland resources for forage production, biodiversity and environmental protection: Proceeding of 23nd. International Grassland Congress, Nov. 20-24, 2015. New Delhi, India, Range Management Society of India, Jhansi, U.P., India. p. 208-214.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Treinta y Tres. |
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187. | | PRAVIA, V.; SAHA, D.; QUINCKE, A.; TERRA, J.A.; KEMANIAN, A.R. Soil carbon saturation controls soil carbon decomposition and carbon retention of decomposing residues. In: INTERNATIONAL SYMPOSIUM ON SOIL ORGANIC MATTER (6., 3-7 Sep. 2017, HARPENDER, UK9. Proceedings. Harpender, UK: BSSS, 2017. p. 204 Session 4 a. Mass spectrometry - The key to the soil organic matter "Black Box".Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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188. | | PRAVIA, V.; KEMANIAN, A. R.; TERRA, J.A.; SHI, Y.; MACEDO, I.; GOSLEE, S. Soil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations. Agricultural Systems, May 2019, volume 171, pages 13-22. Article history: Received 30 December 2017 // Received in revised form 2 November 2018 // Accepted 2 November 2018.
Funding for this work was provided by the Instituto Nacional de Investigación Agropecuaria (INIA-Uruguay) and the USDA-ARS...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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190. | | BARRO, R.S.; RUBIO, V.; PRAVIA, V.; QUINCKE, A.; GRAHMANN, K.; TERRA, J.A.; LATTANZI, F. Soil organic carbon stocks in crop/pasture sequences - results from the oldest long-term agricultural experiment in Latin America. * Panel: Soil component. In: IV International Symposium on Integrated Crop-livestock Systems; Bento Gonçalves (RS), Brazil, November 7-11, 2023. Conference Proceedings, Volume 1. pp.254-258. * Part of the first author's postdoctoral work, funded by Agencia Nacional de Investigación e Innovación code PD_NAC_2016_1_134181. -- Junto al IV ICLS se realizó el III Congresso Brasileiro de Sistemas Integrados de Produção Agropecuária...Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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194. | | CASTILLO, J.; MACEDO, I.; SILVA, L.; CASTILLO, G.; TERRA, J.A. Productividad y eficiencia de uso del N del cultivo de arroz sobre diferentes antecesores invernales y dosis de N. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 64-66. (INIA Serie Técnica; 257)Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Treinta y Tres. |
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195. | | MACEDO, I.; CASTILLO, J.; RICCETTO, S.; BORDAGORRI, A.; TERRA, J.A. Productividad y eficiencia del uso del N en el cultivo de arroz en rotaciones de intensidad variable. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 109-112. (INIA Serie Técnica; 257)Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Treinta y Tres. |
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196. | | BERGTOLD, J.S.; TERRA, J.A.; REVEES, D.W.; BALKCOM, K.S.; RAPER, R.L. Profitability and risk asociated with alternative mixtures of high-residues cover crops. ln: Oral Proceedings, Southem Conservation Tillage Systems Conference, Clemson University, 2005, [s.l.]: [s.n.], 2005. p. 113-121Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Treinta y Tres. |
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197. | | PÉREZ-BIDEGAIN, M.; HILL, M.; CLERICI, C.; TERRA, J.A.; SAWCHIK, J.; GARCÍA-PRÉCHAC, F. Regulatory utilization of USLE/RUSLE erosion rate estimates in Uruguay: a policy coincident with the UN sustainable development goals. In: Lal, R.; Horn, R.; Kosaki, T., eds. Soil and sustainable development goals. Stuttgar, Germany: Catena-Scheweizerbar. 2018, p. 82-91.Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Treinta y Tres. |
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198. | | RICCETTO, S.; MACEDO, I.; GASO, D.; SALDAIN, N.E.; TERRA, J.A. Potencial productivo del cultivo de soja sin limitantes de agua. ln: [JORNADA ANUAL] ARROZ-SOJA, 2015, Treinta y Tres, UY. Resultados experimentales 2014-2015. Treinta y Tres: INIA, 2015. Cap. 6, p. 7-9. (INIA Serie Actividades de Difusión; 748)Biblioteca(s): INIA Treinta y Tres. |
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199. | | TERRA, J.A.; CANTOU, G.; OXLEY, A.; FURTADO, I.; BORDAGORRI, P.; SAWCHIK, J. Potencial productivo del cultivo de soja sin limitantes de agua. In: PROGRAMA NACIONAL PRODUCCIÓN DE ARROZ; JORNADA ANUAL ARROZ-SOJA, 2013, INIA TREINTA Y TRES, UY. Arroz-soja: resultados experimentales 2012-2013. Treinta y Tres: INIA, 2013. c. 9, p. 19-21. (Serie Actividades de Difusión, 713).Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
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200. | | MACEDO, I.; PITTELKOW, C.M.; TERRA, J.A.; CASTILLO, J.; ROEL, A. The power of on-farm data for improved agronomy. Global Food Security. 2024, Volume 40, 100752. https://doi.org/10.1016/j.gfs.2024.100752 -- OPEN ACCESS. Article history: Received 24 November 2023, Revised 27 February 2024, Accepted 3 March 2024, Available online 16 March 2024, Version of Record 16 March 2024. -- Correspondence: Macedo, I.; Department of Plant Sciences, Univ. of...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 263 | |
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