Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms
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 objectiv...
| Autores principales: | , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2022
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| Acceso en línea: | 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 |
| _version_ | 1855485113441189888 |
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| author | Di Mauro, Guido Salvagiotti, Fernando Gambin, Brenda L. Condori, Alicia Adelina Gallo, Santiago Pozzi, Ricardo Boxler, Miguel Rotundo, Jose Luis |
| author_browse | Boxler, Miguel Condori, Alicia Adelina Di Mauro, Guido Gallo, Santiago Gambin, Brenda L. Pozzi, Ricardo Rotundo, Jose Luis Salvagiotti, Fernando |
| author_facet | Di Mauro, Guido Salvagiotti, Fernando Gambin, Brenda L. Condori, Alicia Adelina Gallo, Santiago Pozzi, Ricardo Boxler, Miguel Rotundo, Jose Luis |
| author_sort | Di Mauro, Guido |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA13139 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA131392022-10-18T11:06:14Z Assessing the impact of high-input management for reducing soybean yield gaps on high-productivity farms Di Mauro, Guido Salvagiotti, Fernando Gambin, Brenda L. Condori, Alicia Adelina Gallo, Santiago Pozzi, Ricardo Boxler, Miguel Rotundo, Jose Luis Soja Manejo del Cultivo Rendimiento Diferencias de Rendimiento Productividad Soybeans Crop Management Yields Yield Gap Productivity Región Pampa Ondulada 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 2022-10-18T11:03:18Z 2022-10-18T11:03:18Z 2022-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info: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/restrictedAccess application/pdf Elsevier Field Crops Research 278 : 108434 (March 2022) |
| spellingShingle | Soja Manejo del Cultivo Rendimiento Diferencias de Rendimiento Productividad Soybeans Crop Management Yields Yield Gap Productivity Región Pampa Ondulada Di Mauro, Guido Salvagiotti, Fernando Gambin, Brenda L. Condori, Alicia Adelina Gallo, Santiago Pozzi, Ricardo Boxler, Miguel Rotundo, Jose Luis 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 |
| 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_short | 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 |
| topic | Soja Manejo del Cultivo Rendimiento Diferencias de Rendimiento Productividad Soybeans Crop Management Yields Yield Gap Productivity Región Pampa Ondulada |
| 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 |
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