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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
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Fecha : |
25/01/2019 |
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Actualizado : |
22/12/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
PRAVIA, V.; KEMANIAN, A. R.; TERRA, J.A.; SHI, Y.; MACEDO, I.; GOSLEE, S. |
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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. |
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Título : |
Soil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Agricultural Systems, May 2019, volume 171, pages 13-22. |
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ISSN : |
0308-521X |
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DOI : |
10.1016/j.agsy.2018.11.001 |
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Idioma : |
Inglés |
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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. |
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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 |
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Palabras claves : |
AGROECOSYSTEM MODELING; CROP PASTURE INTERSEEDNG; LONG-TERM EXPERIMENTS; SOIL ORGANIC MATTER. |
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Thesagro : |
CARBONO ORGANICO DEL SUELO. |
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Asunto categoría : |
--
P34 Biología del suelo |
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Marc : |
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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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INIA Las Brujas (LB) |
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| 41. |  | MACEDO, I.; CASTILLO, J.; SALDAIN, N.E.; MARTÍNEZ, S.; BORDAGORRI, P.; HERNANDEZ, J.; TERRA, J.A. Cerrando un ciclo de las rotaciones arroceras: rendimiento del cultivo de arroz y cultivos alternativos. In: Zorrilla, G.; Martínez, S.; Saravia, H. (Eds.) Arroz 2017. Montevideo (UY): INIA, 2017. p. 63-65. (INIA Serie Técnica; 233)| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA Treinta y Tres. |
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| 44. | | PRAVIA, V.; TERRA, J.A.; SHI, Y.; MACEDO, I.; GOSLEE, S.; KERMANIAN, A.R. Modeling long-term crop-pasture rotations productivity and carbon and nitrogen cycling considering soil carbon saturation. In: INTERNATIONAL SYMPOSIUM ON SOIL ORGANIC MATTER (6., 3-7 Sep. 2017, HARPENDER, UK9. Proceedings. Harpender, UK: BSSS, 2017. p. 26. Session 2 B: Next generation SOM models.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Treinta y Tres. |
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| 46. | | MACEDO, I.; TERRA, J.A.; SIRI-PRIETO, G.; VELAZCO, J.I.; CARRASCO-LETELIER, L. La intensificación del agrosistema arroz pastura afecta la eficiencia de uso de la energía. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 105-108. (INIA Serie Técnica; 257)| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA Treinta y Tres. |
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| 47. | | MACEDO, I.; CARRASCO-LETELIER, L.; VELAZCO, J.I.; SIRI-PRIETO, G.; TERRA, J.A. Intensification alternatives to rice-pasture systems: energy use efficiency. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Treinta y Tres. |
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| 48. | | MACEDO, I.; ROEL, A.; VELAZCO, J.I.; BORDAGORRI, A.; TERRA, J.A.; PITTELKOW, C.M. Intensification of rice-pasture rotations with annual crops reduces the stability of sustainability across productivity, economic, and environmental indicators. Agricultural Systems, October 2022, volume 202, Article Number 103488. OPEN ACCESS. doi: https://doi.org/10.1016/j.agsy.2022.103488 Article history: Received 6 May 2022, Revised 17 August 2022, Accepted 19 August 2022, Available online 30 August 2022, Version of Record 30 August 2022.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Treinta y Tres. |
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| 49. | | ZHANG, Z.; MACEDO, I.; LINQUIST, B.A.; SANDER, B. O.; PITTELKOW, C.M. Opportunities for mitigating net system greenhouse gas emissions in Southeast Asian rice production: A systematic review. Agriculture, Ecosystems and Environment, 2024, Volume 361, article 108812. https://doi.org/10.1016/j.agee.2023.108812 Article history: Received 28 June 2023; Received in revised form 13 September 2023; Accepted 8 November 2023; Available online 21 November 2023. -- Correspondence: Z. Zhang, E-mail address: hcizhang@ucdavis.edu --| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 50. | | MACEDO, I.; OTAÑO, C.; BARRIOS, E.; BEYHAUT, E.; ROSSI, C.; SAWCHIK, J.; TERRA, J.A. Leguminosas anuales de verano como opciones de cobertura en sistemas agrícolas. Revista INIA Uruguay, n. 43, p. 50-54, 2015.| Tipo: Artículos en Revistas Agropecuarias |
| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
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| 53. | | 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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| 54. | | 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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| 55. | | 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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| 56. | | 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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| 58. | | TSENG, C-M.; ROEL, A.; MACEDO, I.; MARELLA, M.; TERRA, J.A.; PITTELKOW, C. M. Synergies and tradeoffs among yield, resource use efficiency, and environmental footprint indicators in rice systems. Current Research in Environmental Sustainability, 2021, volume 3, 100070. OPEN ACCESS. DOI: https://doi.org/10.1016/j.crsust.2021.100070 Article history: Received 30 April 2021 / / Revised 12 July 2021 // Accepted 13 July 2021 // Available online 24 July 2021.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : -- - -- |
| Biblioteca(s): INIA Treinta y Tres. |
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| 59. | | 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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| 60. | | 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 : 75 | |
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