Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms

Autores
Di Mauro, Guido; Salvagiotti, Fernando; Gambin, Brenda L.; Condori, Alicia Adelina; Gallo, Santiago; Pozzi, Ricardo; Boxler, Miguel; Rotundo, Jose Luis
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
To increase soybean actual yields (Ya), modern farmers are interested in exploring novel intensification options. We hypothesize that the inclusion of a high-input treatment in high-productivity systems may potentially reduce yield gaps (Yg), representing additional profits for farmers. Our objectives were to: (i) estimate Ya, water-limited yield potential (Ywlim), and Yg; (ii) evaluate a high-input treatment as a management option for reducing Yg; (iii) identify management and environmental factors associated to yield response to inputs and, (iv) determine the economic outcome of this high-input management on high-productivity soybean crops. We carried out 27 on-farm field experiments comparing a conventional management system versus a novel high-input treatment across the Central Pampas of Argentina. The conventional treatment was the most common management prescribed by farmers in the region. The high-input treatment included a set of inputs that were not usually applied and involved soil fertilizers with S and Zn, seeds treated with insecticides, fungicides, and inoculants, stress-reducing product, Ca and B foliar fertilizers and preventive insecticide. The Ywlim was estimated using crop simulation models. Yield gaps were calculated as the difference between Ywlim and Ya. Average Ya and Ywlim were 4571 and 5100 kg ha−1, respectively, with a Yg lower than 30%. High-input treatments promoted a yield response of 131 kg ha−1 across sites (p < 0.001), reducing Yg by 2.6%. Yield response to high-input treatment was positively correlated with Yg and soil pH, but negatively correlated with soil P. No positive economic outcomes were obtained with the high-input treatment. This study showed low benefits of the high-input treatments for reducing Yg in high-yielding soybeans managed by high-productivity farmers. Future yield increases in this type of systems would rely on genetic improvement of soybean yield potential and exploiting genotype x management x environment interactions.
EEA Oliveros
Fil: Di Mauro, Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Di Mauro, Guido. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Gambin, Brenda L. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Gambin, Brenda L. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Condori, Alicia Adelina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Gallo, Santiago. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; Argentina
Fil: Pozzi, Ricardo. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; Argentina
Fil: Boxler, Miguel. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; Argentina
Fil: Rotundo, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Rotundo, Jose Luis. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fuente
Field Crops Research 278 : 108434 (March 2022)
Materia
Soja
Manejo del Cultivo
Rendimiento
Diferencias de Rendimiento
Productividad
Soybeans
Crop Management
Yields
Yield Gap
Productivity
Región Pampa Ondulada
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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oai_identifier_str oai:localhost:20.500.12123/13139
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network_name_str INTA Digital (INTA)
spelling Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farmsDi Mauro, GuidoSalvagiotti, FernandoGambin, Brenda L.Condori, Alicia AdelinaGallo, SantiagoPozzi, RicardoBoxler, MiguelRotundo, Jose LuisSojaManejo del CultivoRendimientoDiferencias de RendimientoProductividadSoybeansCrop ManagementYieldsYield GapProductivityRegión Pampa OnduladaTo increase soybean actual yields (Ya), modern farmers are interested in exploring novel intensification options. We hypothesize that the inclusion of a high-input treatment in high-productivity systems may potentially reduce yield gaps (Yg), representing additional profits for farmers. Our objectives were to: (i) estimate Ya, water-limited yield potential (Ywlim), and Yg; (ii) evaluate a high-input treatment as a management option for reducing Yg; (iii) identify management and environmental factors associated to yield response to inputs and, (iv) determine the economic outcome of this high-input management on high-productivity soybean crops. We carried out 27 on-farm field experiments comparing a conventional management system versus a novel high-input treatment across the Central Pampas of Argentina. The conventional treatment was the most common management prescribed by farmers in the region. The high-input treatment included a set of inputs that were not usually applied and involved soil fertilizers with S and Zn, seeds treated with insecticides, fungicides, and inoculants, stress-reducing product, Ca and B foliar fertilizers and preventive insecticide. The Ywlim was estimated using crop simulation models. Yield gaps were calculated as the difference between Ywlim and Ya. Average Ya and Ywlim were 4571 and 5100 kg ha−1, respectively, with a Yg lower than 30%. High-input treatments promoted a yield response of 131 kg ha−1 across sites (p < 0.001), reducing Yg by 2.6%. Yield response to high-input treatment was positively correlated with Yg and soil pH, but negatively correlated with soil P. No positive economic outcomes were obtained with the high-input treatment. This study showed low benefits of the high-input treatments for reducing Yg in high-yielding soybeans managed by high-productivity farmers. Future yield increases in this type of systems would rely on genetic improvement of soybean yield potential and exploiting genotype x management x environment interactions.EEA OliverosFil: Di Mauro, Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Di Mauro, Guido. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Gambin, Brenda L. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Gambin, Brenda L. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Condori, Alicia Adelina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Gallo, Santiago. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; ArgentinaFil: Pozzi, Ricardo. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; ArgentinaFil: Boxler, Miguel. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; ArgentinaFil: Rotundo, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Rotundo, Jose Luis. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaElsevier2022-10-18T11:03:18Z2022-10-18T11:03:18Z2022-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/13139https://www.sciencedirect.com/science/article/abs/pii/S03784290220000530378-4290https://doi.org/10.1016/j.fcr.2022.108434Field Crops Research 278 : 108434 (March 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/PNCYO-1127032/AR./Tecnologías de manejo de cultivos en sistemas basados en cereales y oleaginosas, enfocadas en las demandas territoriales.info:eu-repo/semantics/restrictedAccess2025-09-29T13:45:45Zoai:localhost:20.500.12123/13139instacron: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 13:45:45.851INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
title Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
spellingShingle Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
Di Mauro, Guido
Soja
Manejo del Cultivo
Rendimiento
Diferencias de Rendimiento
Productividad
Soybeans
Crop Management
Yields
Yield Gap
Productivity
Región Pampa Ondulada
title_short Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
title_full Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
title_fullStr Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
title_full_unstemmed Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
title_sort Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
dc.creator.none.fl_str_mv Di Mauro, Guido
Salvagiotti, Fernando
Gambin, Brenda L.
Condori, Alicia Adelina
Gallo, Santiago
Pozzi, Ricardo
Boxler, Miguel
Rotundo, Jose Luis
author Di Mauro, Guido
author_facet Di Mauro, Guido
Salvagiotti, Fernando
Gambin, Brenda L.
Condori, Alicia Adelina
Gallo, Santiago
Pozzi, Ricardo
Boxler, Miguel
Rotundo, Jose Luis
author_role author
author2 Salvagiotti, Fernando
Gambin, Brenda L.
Condori, Alicia Adelina
Gallo, Santiago
Pozzi, Ricardo
Boxler, Miguel
Rotundo, Jose Luis
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Soja
Manejo del Cultivo
Rendimiento
Diferencias de Rendimiento
Productividad
Soybeans
Crop Management
Yields
Yield Gap
Productivity
Región Pampa Ondulada
topic Soja
Manejo del Cultivo
Rendimiento
Diferencias de Rendimiento
Productividad
Soybeans
Crop Management
Yields
Yield Gap
Productivity
Región Pampa Ondulada
dc.description.none.fl_txt_mv To increase soybean actual yields (Ya), modern farmers are interested in exploring novel intensification options. We hypothesize that the inclusion of a high-input treatment in high-productivity systems may potentially reduce yield gaps (Yg), representing additional profits for farmers. Our objectives were to: (i) estimate Ya, water-limited yield potential (Ywlim), and Yg; (ii) evaluate a high-input treatment as a management option for reducing Yg; (iii) identify management and environmental factors associated to yield response to inputs and, (iv) determine the economic outcome of this high-input management on high-productivity soybean crops. We carried out 27 on-farm field experiments comparing a conventional management system versus a novel high-input treatment across the Central Pampas of Argentina. The conventional treatment was the most common management prescribed by farmers in the region. The high-input treatment included a set of inputs that were not usually applied and involved soil fertilizers with S and Zn, seeds treated with insecticides, fungicides, and inoculants, stress-reducing product, Ca and B foliar fertilizers and preventive insecticide. The Ywlim was estimated using crop simulation models. Yield gaps were calculated as the difference between Ywlim and Ya. Average Ya and Ywlim were 4571 and 5100 kg ha−1, respectively, with a Yg lower than 30%. High-input treatments promoted a yield response of 131 kg ha−1 across sites (p < 0.001), reducing Yg by 2.6%. Yield response to high-input treatment was positively correlated with Yg and soil pH, but negatively correlated with soil P. No positive economic outcomes were obtained with the high-input treatment. This study showed low benefits of the high-input treatments for reducing Yg in high-yielding soybeans managed by high-productivity farmers. Future yield increases in this type of systems would rely on genetic improvement of soybean yield potential and exploiting genotype x management x environment interactions.
EEA Oliveros
Fil: Di Mauro, Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Di Mauro, Guido. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Gambin, Brenda L. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Gambin, Brenda L. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Condori, Alicia Adelina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Gallo, Santiago. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; Argentina
Fil: Pozzi, Ricardo. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; Argentina
Fil: Boxler, Miguel. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola; Argentina
Fil: Rotundo, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Rotundo, Jose Luis. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
description To increase soybean actual yields (Ya), modern farmers are interested in exploring novel intensification options. We hypothesize that the inclusion of a high-input treatment in high-productivity systems may potentially reduce yield gaps (Yg), representing additional profits for farmers. Our objectives were to: (i) estimate Ya, water-limited yield potential (Ywlim), and Yg; (ii) evaluate a high-input treatment as a management option for reducing Yg; (iii) identify management and environmental factors associated to yield response to inputs and, (iv) determine the economic outcome of this high-input management on high-productivity soybean crops. We carried out 27 on-farm field experiments comparing a conventional management system versus a novel high-input treatment across the Central Pampas of Argentina. The conventional treatment was the most common management prescribed by farmers in the region. The high-input treatment included a set of inputs that were not usually applied and involved soil fertilizers with S and Zn, seeds treated with insecticides, fungicides, and inoculants, stress-reducing product, Ca and B foliar fertilizers and preventive insecticide. The Ywlim was estimated using crop simulation models. Yield gaps were calculated as the difference between Ywlim and Ya. Average Ya and Ywlim were 4571 and 5100 kg ha−1, respectively, with a Yg lower than 30%. High-input treatments promoted a yield response of 131 kg ha−1 across sites (p < 0.001), reducing Yg by 2.6%. Yield response to high-input treatment was positively correlated with Yg and soil pH, but negatively correlated with soil P. No positive economic outcomes were obtained with the high-input treatment. This study showed low benefits of the high-input treatments for reducing Yg in high-yielding soybeans managed by high-productivity farmers. Future yield increases in this type of systems would rely on genetic improvement of soybean yield potential and exploiting genotype x management x environment interactions.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-18T11:03:18Z
2022-10-18T11:03:18Z
2022-03
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/20.500.12123/13139
https://www.sciencedirect.com/science/article/abs/pii/S0378429022000053
0378-4290
https://doi.org/10.1016/j.fcr.2022.108434
url http://hdl.handle.net/20.500.12123/13139
https://www.sciencedirect.com/science/article/abs/pii/S0378429022000053
https://doi.org/10.1016/j.fcr.2022.108434
identifier_str_mv 0378-4290
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/PNCYO-1127032/AR./Tecnologías de manejo de cultivos en sistemas basados en cereales y oleaginosas, enfocadas en las demandas territoriales.
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
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 Field Crops Research 278 : 108434 (March 2022)
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
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