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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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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
18/01/2022 |
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Actualizado : |
18/01/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
RIZZO, G.; MAZZILLI, S.R.; ERNST, O.; BAETHGENI, W.E.; BERGER, A. |
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Afiliación : |
GONZALO RIZZO, Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; SEBASTIAN R. MAZZILLI, Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; OSWALDO ERNST, Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; WALTER E. BAETHGEN, International Research Institute for Climate and Society (IRI), Columbia University, 61 Route 9W, Palisades 9, 10964, NY, United States; ANDRES GUSTAVO BERGER RICCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Season-specific management strategies for rainfed soybean in the South American Pampas based on a seasonal precipitation forecast. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Agricultural Systems, 2022, volume 19, Article number 103331. doi: https://doi.org/10.1016/j.agsy.2021.103331 |
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ISSN : |
0308-521X |
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DOI : |
10.1016/j.agsy.2021.103331 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 8 September 2021; Received in revised form 16 November 2021; Accepted 17 November 2021; Available online 25 November 2021.
Editor: Guillaume Martin.
Corresponding author: Rizzo, G.; Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; email:grizzo2@huskers.unl.edu --
This project was partially funded on a fellowship from the Instituto Nacional de Investigaci?n Agropecuaria de Uruguay (INIA) granted to the senior author, and by the INIA project #INIA_CS_48_0_00. Authors wish to thank Deborah Gasso and Cristina Capurro (INIA) for providing access to their field experiment data to evaluate crop model performance. We also acknowledge Mariana Hill, Carlos Clerici, and Martin Dell'Aqua (Ministry of Livestock, Agriculture, and Fisheries of Uruguay) for providing soil and cropping sequence data. We are grateful to FUCREA for providing access to the farmers' database. |
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Contenido : |
ABSTRACT. - CONTEXT Global climate change is resulting in more frequent and more damaging extreme events affecting the performance of production systems. It is imperative to develop good season-specific crop management recommendations to help farmers to improve their adaptive capacity to a changing climate one season at a time. OBJECTIVE: We aimed to evaluate the skill of the International Research Institute for Climate and Society (IRI) seasonal precipitation forecasts and the interaction between the forecasted seasonal precipitation scenarios and management practices for rainfed soybean cropping systems using a crop simulation model. METHODS: We used a crop simulation model (CROPGRO-Soybean) coupled with weather data to assess the potential use of the IRI seasonal precipitation forecasts as a tool to optimize season-specific management strategies for rainfed soybean in Uruguay. We used a total of 620?668 IRI seasonal precipitation forecasts released from 2003 to 2016 for each of the five weather stations located in the main soybean producing area. The analysis was performed for two soybean cropping systems (i.e., sown as a single crop or as double-cropped soybean), for which we considered combinations of sowing dates and maturity groups (11 sowing dates × 3 maturity groups combinations for each soybean cropping system). RESULTS AND CONCLUSIONS: The IRI seasonal precipitation forecasts were able to successfully forecast below-normal precipitation scenarios in 77% of the total predictions developed for this scenario considering all weather stations during the study period (2003?2016), while it was less accurate in forecasting above-normal precipitation scenarios (60% of success). We found that earlier sowing dates were a better strategy for years when an above-normal precipitation forecast was released for the December?January-February period (4.7 Mg ha−1 average seed yield). In contrast, delayed sowing dates were more appropriate for below-normal precipitation forecasts (3.7 Mg ha−1 average seed yield). Applying season-specific management practices farmers could potentially increase their soybean yields by up to 0.6 and 1.6 Mg ha−1, in years with below- or above-normal forecasted precipitations, respectively. The benefit of season-specific management will depend on the interaction among all management practices, the effective capacity of farmers to implement it, and the risk profile the farmer adopts and it is exposed to. SIGNIFICANCE: Here we built a novel approach to assess the impact of considering seasonal precipitation forecasts for optimizing crop production. This assessment provided insights on how farmers can use seasonal precipitation forecasts to optimize rainfed soybean yield for a specific cropping season.
© 2021 Elsevier Ltd MenosABSTRACT. - CONTEXT Global climate change is resulting in more frequent and more damaging extreme events affecting the performance of production systems. It is imperative to develop good season-specific crop management recommendations to help farmers to improve their adaptive capacity to a changing climate one season at a time. OBJECTIVE: We aimed to evaluate the skill of the International Research Institute for Climate and Society (IRI) seasonal precipitation forecasts and the interaction between the forecasted seasonal precipitation scenarios and management practices for rainfed soybean cropping systems using a crop simulation model. METHODS: We used a crop simulation model (CROPGRO-Soybean) coupled with weather data to assess the potential use of the IRI seasonal precipitation forecasts as a tool to optimize season-specific management strategies for rainfed soybean in Uruguay. We used a total of 620?668 IRI seasonal precipitation forecasts released from 2003 to 2016 for each of the five weather stations located in the main soybean producing area. The analysis was performed for two soybean cropping systems (i.e., sown as a single crop or as double-cropped soybean), for which we considered combinations of sowing dates and maturity groups (11 sowing dates × 3 maturity groups combinations for each soybean cropping system). RESULTS AND CONCLUSIONS: The IRI seasonal precipitation forecasts were able to successfully forecast below-normal precipitation scenarios in 77% of the tot... Presentar Todo |
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Palabras claves : |
Agricultural management; Climate change; Crop production; Cropping practice; Cropping system; El Niño/southern oscillation; Glycine max; Maturity group; Precipitation (climatology); Seasonal variation; Soybean; Strategic approach. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 04915naa a2200349 a 4500
001 1062640
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008 2022 bl uuuu u00u1 u #d
022 $a0308-521X
024 7 $a10.1016/j.agsy.2021.103331$2DOI
100 1 $aRIZZO, G.
245 $aSeason-specific management strategies for rainfed soybean in the South American Pampas based on a seasonal precipitation forecast.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 8 September 2021; Received in revised form 16 November 2021; Accepted 17 November 2021; Available online 25 November 2021. Editor: Guillaume Martin. Corresponding author: Rizzo, G.; Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; email:grizzo2@huskers.unl.edu -- This project was partially funded on a fellowship from the Instituto Nacional de Investigaci?n Agropecuaria de Uruguay (INIA) granted to the senior author, and by the INIA project #INIA_CS_48_0_00. Authors wish to thank Deborah Gasso and Cristina Capurro (INIA) for providing access to their field experiment data to evaluate crop model performance. We also acknowledge Mariana Hill, Carlos Clerici, and Martin Dell'Aqua (Ministry of Livestock, Agriculture, and Fisheries of Uruguay) for providing soil and cropping sequence data. We are grateful to FUCREA for providing access to the farmers' database.
520 $aABSTRACT. - CONTEXT Global climate change is resulting in more frequent and more damaging extreme events affecting the performance of production systems. It is imperative to develop good season-specific crop management recommendations to help farmers to improve their adaptive capacity to a changing climate one season at a time. OBJECTIVE: We aimed to evaluate the skill of the International Research Institute for Climate and Society (IRI) seasonal precipitation forecasts and the interaction between the forecasted seasonal precipitation scenarios and management practices for rainfed soybean cropping systems using a crop simulation model. METHODS: We used a crop simulation model (CROPGRO-Soybean) coupled with weather data to assess the potential use of the IRI seasonal precipitation forecasts as a tool to optimize season-specific management strategies for rainfed soybean in Uruguay. We used a total of 620?668 IRI seasonal precipitation forecasts released from 2003 to 2016 for each of the five weather stations located in the main soybean producing area. The analysis was performed for two soybean cropping systems (i.e., sown as a single crop or as double-cropped soybean), for which we considered combinations of sowing dates and maturity groups (11 sowing dates × 3 maturity groups combinations for each soybean cropping system). RESULTS AND CONCLUSIONS: The IRI seasonal precipitation forecasts were able to successfully forecast below-normal precipitation scenarios in 77% of the total predictions developed for this scenario considering all weather stations during the study period (2003?2016), while it was less accurate in forecasting above-normal precipitation scenarios (60% of success). We found that earlier sowing dates were a better strategy for years when an above-normal precipitation forecast was released for the December?January-February period (4.7 Mg ha−1 average seed yield). In contrast, delayed sowing dates were more appropriate for below-normal precipitation forecasts (3.7 Mg ha−1 average seed yield). Applying season-specific management practices farmers could potentially increase their soybean yields by up to 0.6 and 1.6 Mg ha−1, in years with below- or above-normal forecasted precipitations, respectively. The benefit of season-specific management will depend on the interaction among all management practices, the effective capacity of farmers to implement it, and the risk profile the farmer adopts and it is exposed to. SIGNIFICANCE: Here we built a novel approach to assess the impact of considering seasonal precipitation forecasts for optimizing crop production. This assessment provided insights on how farmers can use seasonal precipitation forecasts to optimize rainfed soybean yield for a specific cropping season. © 2021 Elsevier Ltd
653 $aAgricultural management
653 $aClimate change
653 $aCrop production
653 $aCropping practice
653 $aCropping system
653 $aEl Niño/southern oscillation
653 $aGlycine max
653 $aMaturity group
653 $aPrecipitation (climatology)
653 $aSeasonal variation
653 $aSoybean
653 $aStrategic approach
700 1 $aMAZZILLI, S.R.
700 1 $aERNST, O.
700 1 $aBAETHGENI, W.E.
700 1 $aBERGER, A.
773 $tAgricultural Systems, 2022, volume 19, Article number 103331. doi: https://doi.org/10.1016/j.agsy.2021.103331
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| 1. |  | ALTESOR, A.; GALLEGO, F.; FERRÓN, M; PEZZANI, F.; LÓPEZ-MÁRSICO, L.; LEZAMA,F.; BAEZA, S.; PEREIRA, M.; COSTA, B.; PARUELO, J. An inductive approach to build State-and-Transition Models for Uruguayan grasslands. Rangeland Ecology and Management, November 2019, Volume 72, Issue 6, Pages 1005-1016. Doi: https://doi.org/10.1016/j.rama.2019.06.004 Article history: Received 19 October 2018// Revised 7 June 2019// Accepted 24 June 2019// Available online 8 August 2019.-Correspondence: E-mail address: aaltesor@fcien.edu.uy (A. Altesor).This work was supported by Instituto Nacional de...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 2. | | JAURENA, M.; DE BARBIERI, I.; LEZAMA, F.; AYALA, W.; MONTOSSI, F.; RIVAS, M. Atributos de pasturas naturales sobre suelos superficiales de Basalto con cargas contrastantes de capones ln: Reunión del grupo técnico en forrajeras del Cono Sur, 22., 2008, Minas, Uruguay Bioma campos: innovando para mantener su sustentabilidad y competitividad. Memorias. Minas (Uruguay): INIA; FAO; PROCISUR, 2008. p. 199 Versión impresa y en CD ROM Instituto Nacional de Investigación Agropecuaria, Uruguay; FAO; PROCISUR| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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| 3. | | REUNIÓN DEL GRUPO TÉCNICO EN FORRAJERAS DEL CONO SUR, GRUPO CAMPOS, 22, 2008, MINAS, URUGUAY AYALA, W.; LEZAMA, F.; BARRIOS, E.; BEMHAJA, M.; SARAVIA, H.; FORMOSO, D.; BOGGIANO, P., ED. Bioma Campos: innovando para mantener su sustentabilidad y competitividad. Memorias Minas (Uruguay): Grupo Campos, 2008. 276 p Versión impresa y en CD ROM| Tipo: Ediciones Especiales |
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| 4. | | JAURENA, M.; SALVO, L.; TERRA, J.A.; AYALA, W.; BARRIOS, E.; LEZAMA, F. Cambios en el largo plazo de características de suelo y vegetación de mejoramientos de campo natural. ln: Reunión del Grupo Técnico en Forrajeras del Cono Sur, Grupo Campos, 22, 2008, Minas, Uruguay Ayala, W.; Lezama, F.; Barrios, E.; Bemhaja, M.; Saravia, H.; Formoso, D.; Boggiano, P., ed. Bioma campos : Innovando para mantener su sustentabilidad y competitividad. Memorias. Minas (Uruguay): Grupo Campos, 2008.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Treinta y Tres. |
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| 5. | | JAURENA, M.; OLMOS, F.; BEMHAJA, M.; BERRETTA, E.J.; LEZAMA, F.; PEREZ GOMAR, E.; ZERBINO, M.; CONDON, F.; BLUMETTO, O.; CASTAÑO, J.; ROCANOVA, M. Campo natural en Uruguay: biodiversidad y manejo para la sustentabilidad. Suplemento Tecnológico INIA, 2008, p. 42-43. Suplemento tecnológico Expo Prado 2008.| Biblioteca(s): INIA Treinta y Tres. |
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| 6. | | JAURENA, M.; OLMOS, F.; BEMHAJA, M.; BERRETTA, E.; LEZAMA, F.; PEREZ GOMAR, E.; ZERBINO, M.; CONDON, F.; BLUMETTO, O.; CASTAÑO, J.; ROCANOVA, M. Campo natural en Uruguay: biodiversidad y manejo para la sustentabilidad. Suplemento Tecnológico INIA, 2008, p. 42-43. Suplemento tecnológico Expo Prado 2008.| Tipo: Artículos en Revistas Agropecuarias |
| Biblioteca(s): INIA Tacuarembó. |
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| 8. | | LEZAMA, F.; ALTESOR, A.; PARUELO, J. Caracterización de comunidades de campo natural de la Región de Sierras del Este In: INIA TREINTA Y TRES. Jornada de divulgación de Producción Animal - Pasturas Treinta y Tres (Uruguay): INIA, 2009 p. 1-6 (INIA Serie Actividades de Difusión ; 591) Programa Nacional Pasturas y Forrajes: Ing. Agr., PhD. Walter Ayala, Director de Programa, Ing. Agr., MPhil. Raúl Bermúdez, Ing. Agr., MSc. Virginia Pravia, Lic., MSc. Felipe Lezama, Téc. en Sistemas Intensivos de Prod.Animal Ethel...| Tipo: Actividades de Difusión |
| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 10. | | PARUELO, J.M.; PIÑEIRO, G.; BALDI, G.; BAEZA, S.; LEZAMA, F.; ALTESOR, A.; OESTERHELD, M. Carbon stocks and fluxes in rangelands of the Río de la plata basin. Rangeland Ecology & Management, 2010, v. 63, no. 1 p. 94-108. 63 Article history: Manuscript received 17 March 2008; manuscript accepted 3 April 2009.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
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| 15. | | JAURENA, M.; DE BARBIERI, I.; MONTOSSI, F.; LEZAMA, F.; PEREZ GOMAR, E.; DIAZ, S.; SOSA, M.; CACERES, J.; ROVIRA, F.; ALBERNAZ, F.; SANCRISTOBAL, E.; LIMA, G. Evaluación de diferentes ofertas de forraje de campo natural sobre la producción y calidad de lanas finas y superfinas y en indicadores de sustentabilidad de suelos y de la comulnidad vegetal. Día de campo, INIA Tacuarembó, Unidad Experimental Glencoe, Setiembre, 2008. Alternativas de intensificación, especialización, diversificación y valorización de la ganadería ovina y bovina en basalto. Tacuarembó (Uruguay): INIA, 2008. p. 8-10| Biblioteca(s): INIA Tacuarembó. |
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