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
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/22118
Acceder
id INTADig_e955f0e979fa3cd8b253ecd2e31ffd08
oai_identifier_str oai:localhost:20.500.12123/22118
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling 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)2025-10-23T11:19:30Zoai: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:l2025-10-23 11:19:30.992INTA 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)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1846787603634847744
score 12.982451

Publicaciones similares