On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields
- Autores
- Madias, Andrés; Simon, Carlos Gabriel; Stahringer, Nicolás I.; Borrás, Lucas; Rubio, Gerardo; Gambin, Brenda L.
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Soybean monoculture is widespread across recently deforested areas in South America, leading to a decline in soil organic matter (SOM) and compromising the sustainability of the cropping system. Introducing cereals like maize into the crop rotation is necessary, but proper management knowledge to maximize its yield and profitability is needed. Our objectives were to quantify the impact of management and environmental variables influencing maize yield and estimate the potential to increase attainable yields in recently deforested fields of South American Gran Chaco. The analysis included a total of 62 on-farm trials across multiple environments, each including 9–28 hybrids. The mean site yields ranged from 2235 to 11141 kg ha−1. Using linear mixed models, we identified and tested a model with key management and environmental variables explaining yield variation. We used this model to estimate attainable yields across the region. Nitrogen availability, sowing date, and hybrid type (temperate or sub-tropical) were the most important management variables to predict yield (relative importance ≥ 0.80). Soil organic matter and soil water availability at sowing were the most important environmental yield predictors (relative importance of 0.71 and 0.66, respectively). The best model, tested against an independent dataset (n = 34 trials; RMSE=1722 kg ha−1; RRMSE=21 %) confirmed the influence of defined predictors. Our findings demonstrate that simple management adjustments can boost yields by ∼20 % (∼1500 kg ha−1). In this recently deforested region, the decline in SOM and its negative impact on yields highlight the importance of crop management strategies and policies aimed at improving current cropping systems.
EEA Las Breñas
Fil: Madias, Andres. AAPRESID; Argentina
Fil: Madias, Andres. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino; Argentina
Fil: Simon, Carlos Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Las Breñas. Agencia de Extensión Rural General Pinedo; Argentina
Fil: Stahfinger, Nicolás I. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias; Argentina
Fil: Borrás, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino; Argentina
Fil: Rubio, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. INBA; Argentina
Fil: Rubio, Gerardo. Universidad de Buenos Aires. Facultad de Agronomía. INBA; Argentina
Fil: Rubio, Gerardo. Universidad de Buenos Aires. Facultad de Agronomía. Fertilidad y Fertilizantes; Argentina
Fil: Gambin, Brenda L. Iowa State University. Agronomy Department; Estados Unidos - Fuente
- European Journal of Agronomy 168 : 127612. (July 2025)
- Materia
-
Maíz
Rendimiento
Manejo del Cultivo
Materia Orgánica del Suelo
Nitrógeno
Fecha de Siembra
Maize
Yields
Crop Management
Soil Organic Matter
Nitrogen
Sowing Date
Región Chaqueña, Argentina - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/22118
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On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yieldsMadias, AndrésSimon, Carlos GabrielStahringer, Nicolás I.Borrás, LucasRubio, GerardoGambin, Brenda L.MaízRendimientoManejo del CultivoMateria Orgánica del SueloNitrógenoFecha de SiembraMaizeYieldsCrop ManagementSoil Organic MatterNitrogenSowing DateRegión Chaqueña, ArgentinaSoybean monoculture is widespread across recently deforested areas in South America, leading to a decline in soil organic matter (SOM) and compromising the sustainability of the cropping system. Introducing cereals like maize into the crop rotation is necessary, but proper management knowledge to maximize its yield and profitability is needed. Our objectives were to quantify the impact of management and environmental variables influencing maize yield and estimate the potential to increase attainable yields in recently deforested fields of South American Gran Chaco. The analysis included a total of 62 on-farm trials across multiple environments, each including 9–28 hybrids. The mean site yields ranged from 2235 to 11141 kg ha−1. Using linear mixed models, we identified and tested a model with key management and environmental variables explaining yield variation. We used this model to estimate attainable yields across the region. Nitrogen availability, sowing date, and hybrid type (temperate or sub-tropical) were the most important management variables to predict yield (relative importance ≥ 0.80). Soil organic matter and soil water availability at sowing were the most important environmental yield predictors (relative importance of 0.71 and 0.66, respectively). The best model, tested against an independent dataset (n = 34 trials; RMSE=1722 kg ha−1; RRMSE=21 %) confirmed the influence of defined predictors. Our findings demonstrate that simple management adjustments can boost yields by ∼20 % (∼1500 kg ha−1). In this recently deforested region, the decline in SOM and its negative impact on yields highlight the importance of crop management strategies and policies aimed at improving current cropping systems.EEA Las BreñasFil: Madias, Andres. AAPRESID; ArgentinaFil: Madias, Andres. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino; ArgentinaFil: Simon, Carlos Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Las Breñas. Agencia de Extensión Rural General Pinedo; ArgentinaFil: Stahfinger, Nicolás I. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias; ArgentinaFil: Borrás, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino; ArgentinaFil: Rubio, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. INBA; ArgentinaFil: Rubio, Gerardo. Universidad de Buenos Aires. Facultad de Agronomía. INBA; ArgentinaFil: Rubio, Gerardo. Universidad de Buenos Aires. Facultad de Agronomía. Fertilidad y Fertilizantes; ArgentinaFil: Gambin, Brenda L. Iowa State University. Agronomy Department; Estados UnidosElsevier2025-04-30T11:53:49Z2025-04-30T11:53:49Z2025-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/22118https://www.sciencedirect.com/science/article/abs/pii/S116103012500108X1161-03011873-7331https://doi.org/10.1016/j.eja.2025.127612European Journal of Agronomy 168 : 127612. (July 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:47:15Zoai:localhost:20.500.12123/22118instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:47:16.236INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields |
title |
On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields |
spellingShingle |
On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields Madias, Andrés Maíz Rendimiento Manejo del Cultivo Materia Orgánica del Suelo Nitrógeno Fecha de Siembra Maize Yields Crop Management Soil Organic Matter Nitrogen Sowing Date Región Chaqueña, Argentina |
title_short |
On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields |
title_full |
On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields |
title_fullStr |
On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields |
title_full_unstemmed |
On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields |
title_sort |
On-farm insights in the South American Gran Chaco reveal the importance of soil organic matter and crop management decisions for boosting maize yields |
dc.creator.none.fl_str_mv |
Madias, Andrés Simon, Carlos Gabriel Stahringer, Nicolás I. Borrás, Lucas Rubio, Gerardo Gambin, Brenda L. |
author |
Madias, Andrés |
author_facet |
Madias, Andrés Simon, Carlos Gabriel Stahringer, Nicolás I. Borrás, Lucas Rubio, Gerardo Gambin, Brenda L. |
author_role |
author |
author2 |
Simon, Carlos Gabriel Stahringer, Nicolás I. Borrás, Lucas Rubio, Gerardo Gambin, Brenda L. |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Maíz Rendimiento Manejo del Cultivo Materia Orgánica del Suelo Nitrógeno Fecha de Siembra Maize Yields Crop Management Soil Organic Matter Nitrogen Sowing Date Región Chaqueña, Argentina |
topic |
Maíz Rendimiento Manejo del Cultivo Materia Orgánica del Suelo Nitrógeno Fecha de Siembra Maize Yields Crop Management Soil Organic Matter Nitrogen Sowing Date Región Chaqueña, Argentina |
dc.description.none.fl_txt_mv |
Soybean monoculture is widespread across recently deforested areas in South America, leading to a decline in soil organic matter (SOM) and compromising the sustainability of the cropping system. Introducing cereals like maize into the crop rotation is necessary, but proper management knowledge to maximize its yield and profitability is needed. Our objectives were to quantify the impact of management and environmental variables influencing maize yield and estimate the potential to increase attainable yields in recently deforested fields of South American Gran Chaco. The analysis included a total of 62 on-farm trials across multiple environments, each including 9–28 hybrids. The mean site yields ranged from 2235 to 11141 kg ha−1. Using linear mixed models, we identified and tested a model with key management and environmental variables explaining yield variation. We used this model to estimate attainable yields across the region. Nitrogen availability, sowing date, and hybrid type (temperate or sub-tropical) were the most important management variables to predict yield (relative importance ≥ 0.80). Soil organic matter and soil water availability at sowing were the most important environmental yield predictors (relative importance of 0.71 and 0.66, respectively). The best model, tested against an independent dataset (n = 34 trials; RMSE=1722 kg ha−1; RRMSE=21 %) confirmed the influence of defined predictors. Our findings demonstrate that simple management adjustments can boost yields by ∼20 % (∼1500 kg ha−1). In this recently deforested region, the decline in SOM and its negative impact on yields highlight the importance of crop management strategies and policies aimed at improving current cropping systems. EEA Las Breñas Fil: Madias, Andres. AAPRESID; Argentina Fil: Madias, Andres. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino; Argentina Fil: Simon, Carlos Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Las Breñas. Agencia de Extensión Rural General Pinedo; Argentina Fil: Stahfinger, Nicolás I. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias; Argentina Fil: Borrás, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Campo Experimental Villarino; Argentina Fil: Rubio, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. INBA; Argentina Fil: Rubio, Gerardo. Universidad de Buenos Aires. Facultad de Agronomía. INBA; Argentina Fil: Rubio, Gerardo. Universidad de Buenos Aires. Facultad de Agronomía. Fertilidad y Fertilizantes; Argentina Fil: Gambin, Brenda L. Iowa State University. Agronomy Department; Estados Unidos |
description |
Soybean monoculture is widespread across recently deforested areas in South America, leading to a decline in soil organic matter (SOM) and compromising the sustainability of the cropping system. Introducing cereals like maize into the crop rotation is necessary, but proper management knowledge to maximize its yield and profitability is needed. Our objectives were to quantify the impact of management and environmental variables influencing maize yield and estimate the potential to increase attainable yields in recently deforested fields of South American Gran Chaco. The analysis included a total of 62 on-farm trials across multiple environments, each including 9–28 hybrids. The mean site yields ranged from 2235 to 11141 kg ha−1. Using linear mixed models, we identified and tested a model with key management and environmental variables explaining yield variation. We used this model to estimate attainable yields across the region. Nitrogen availability, sowing date, and hybrid type (temperate or sub-tropical) were the most important management variables to predict yield (relative importance ≥ 0.80). Soil organic matter and soil water availability at sowing were the most important environmental yield predictors (relative importance of 0.71 and 0.66, respectively). The best model, tested against an independent dataset (n = 34 trials; RMSE=1722 kg ha−1; RRMSE=21 %) confirmed the influence of defined predictors. Our findings demonstrate that simple management adjustments can boost yields by ∼20 % (∼1500 kg ha−1). In this recently deforested region, the decline in SOM and its negative impact on yields highlight the importance of crop management strategies and policies aimed at improving current cropping systems. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-04-30T11:53:49Z 2025-04-30T11:53:49Z 2025-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/22118 https://www.sciencedirect.com/science/article/abs/pii/S116103012500108X 1161-0301 1873-7331 https://doi.org/10.1016/j.eja.2025.127612 |
url |
http://hdl.handle.net/20.500.12123/22118 https://www.sciencedirect.com/science/article/abs/pii/S116103012500108X https://doi.org/10.1016/j.eja.2025.127612 |
identifier_str_mv |
1161-0301 1873-7331 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
restrictedAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
European Journal of Agronomy 168 : 127612. (July 2025) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
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INTA Digital (INTA) |
instname_str |
Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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