Defining soybean maturity group options for contrasting weather scenarios in the American Southern Cone
Soybean genotypes are grouped in maturity groups (MG) based on the response to photoperiod, and a genotype belonging to a particular MG is recommended according to latitude and planting date. From an agronomic viewpoint, an “optimum maturity group” (MGopt) can be defined as the one that maximizes so...
| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/12851 https://www.sciencedirect.com/science/article/abs/pii/S0378429022002477 https://doi.org/10.1016/j.fcr.2022.108676 |
| _version_ | 1855485054632853504 |
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| author | Di Mauro, Guido Parra, Gonzalo Santos, Diego Jose Enrico, Juan Martin Zuil, Sebastian Murgio, Marcos Zbinden, Facundo Costanzi, Jerónimo Arias, Norma Monica Carrio, Alejandro Javier Vissani, Cristian Angel Fuentes, Francisco Horacio Salvagiotti, Fernando |
| author_browse | Arias, Norma Monica Carrio, Alejandro Javier Costanzi, Jerónimo Di Mauro, Guido Enrico, Juan Martin Fuentes, Francisco Horacio Murgio, Marcos Parra, Gonzalo Salvagiotti, Fernando Santos, Diego Jose Vissani, Cristian Angel Zbinden, Facundo Zuil, Sebastian |
| author_facet | Di Mauro, Guido Parra, Gonzalo Santos, Diego Jose Enrico, Juan Martin Zuil, Sebastian Murgio, Marcos Zbinden, Facundo Costanzi, Jerónimo Arias, Norma Monica Carrio, Alejandro Javier Vissani, Cristian Angel Fuentes, Francisco Horacio Salvagiotti, Fernando |
| author_sort | Di Mauro, Guido |
| collection | INTA Digital |
| description | Soybean genotypes are grouped in maturity groups (MG) based on the response to photoperiod, and a genotype belonging to a particular MG is recommended according to latitude and planting date. From an agronomic viewpoint, an “optimum maturity group” (MGopt) can be defined as the one that maximizes soybean yield in a particular environment, and not necessarily corresponds with the recommended MG based on thermo-photoperiod response. Our objectives were to (i) delineate spatial pattern of MGopt across contrasting environmental conditions for full-season soybean using geostatistics, and (ii) test whether the weather scenario change the spatial distribution of the MGopt. We hypothesized that, for the same region, the MGopt in dry years (i.e. La Niña phase) is larger than in humid years (i.e. El Niño phase). We analyzed multi-environment trials of full-season soybean (1675 site-years) using recent soybean genotypes and management practices across the Southern Cone of America. The MGopt ranged between 3.8 and 7.8 across regions and ENSO phases. The geostatistics approach indicated a spatial MGopt auto-correlation. The map for each ENSO phase indicates zones with contrasting MGopt and independently of ENSO phase, MGopt increased as latitude decreased. Also, for a particular latitude range, MGopt also varied according to longitude, suggesting that its variation can be associated with rainfall pattern and soil types in the region. Our approach delineated the distribution of MGopt for the American Southern Cone and highlighted that the inclusion of ENSO phase is important for guiding farmers MG options at regional scale. |
| format | Artículo |
| id | INTA12851 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA128512022-09-12T12:26:45Z Defining soybean maturity group options for contrasting weather scenarios in the American Southern Cone Di Mauro, Guido Parra, Gonzalo Santos, Diego Jose Enrico, Juan Martin Zuil, Sebastian Murgio, Marcos Zbinden, Facundo Costanzi, Jerónimo Arias, Norma Monica Carrio, Alejandro Javier Vissani, Cristian Angel Fuentes, Francisco Horacio Salvagiotti, Fernando Soja Tiempo Meteorológico Madurez Manejo del Cultivo América del Sur Soybeans Weather Maturity Crop Management South America Soybean genotypes are grouped in maturity groups (MG) based on the response to photoperiod, and a genotype belonging to a particular MG is recommended according to latitude and planting date. From an agronomic viewpoint, an “optimum maturity group” (MGopt) can be defined as the one that maximizes soybean yield in a particular environment, and not necessarily corresponds with the recommended MG based on thermo-photoperiod response. Our objectives were to (i) delineate spatial pattern of MGopt across contrasting environmental conditions for full-season soybean using geostatistics, and (ii) test whether the weather scenario change the spatial distribution of the MGopt. We hypothesized that, for the same region, the MGopt in dry years (i.e. La Niña phase) is larger than in humid years (i.e. El Niño phase). We analyzed multi-environment trials of full-season soybean (1675 site-years) using recent soybean genotypes and management practices across the Southern Cone of America. The MGopt ranged between 3.8 and 7.8 across regions and ENSO phases. The geostatistics approach indicated a spatial MGopt auto-correlation. The map for each ENSO phase indicates zones with contrasting MGopt and independently of ENSO phase, MGopt increased as latitude decreased. Also, for a particular latitude range, MGopt also varied according to longitude, suggesting that its variation can be associated with rainfall pattern and soil types in the region. Our approach delineated the distribution of MGopt for the American Southern Cone and highlighted that the inclusion of ENSO phase is important for guiding farmers MG options at regional scale. EEA Paraná Fil: Di Mauro, Guido. Grupo Don Mario (Buenos Aires); Argentina Fil: Parra, Gonzalo. Grupo Don Mario (Buenos Aires); Argentina Fil: Santos, Diego Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina Fil: Enrico, Juan Martin. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Grupo Manejo de Cultivos, Suelos y Agua. Argentina Fil: Zuil, Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela; Argentina Fil: Murgio, Marcos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina Fil: Zbinden, Facundo. Grupo Don Mario (Buenos Aires); Argentina Fil: Costanzi, Jerónimo. Grupo Don Mario (Buenos Aires); Argentina Fil: Arias, Norma Monica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina Fil: Carrio, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina Fil: Vissani, Cristian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina Fil: Fuentes, Francisco Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina Fil: Salvagiotti, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina 2022-09-12T12:22:14Z 2022-09-12T12:22:14Z 2022-10 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/12851 https://www.sciencedirect.com/science/article/abs/pii/S0378429022002477 0378-4290 https://doi.org/10.1016/j.fcr.2022.108676 eng info:eu-repograntAgreement/INTA/2019-RIST-E6-I226-001/2019-RIST-E6-I226-001/AR./Red de evaluación de cultivares info:eu-repo/semantics/restrictedAccess application/pdf South America .......... (continent) (World) 1000002 Elsevier Field Crops Research 287 : 108676 (October 2022) |
| spellingShingle | Soja Tiempo Meteorológico Madurez Manejo del Cultivo América del Sur Soybeans Weather Maturity Crop Management South America Di Mauro, Guido Parra, Gonzalo Santos, Diego Jose Enrico, Juan Martin Zuil, Sebastian Murgio, Marcos Zbinden, Facundo Costanzi, Jerónimo Arias, Norma Monica Carrio, Alejandro Javier Vissani, Cristian Angel Fuentes, Francisco Horacio Salvagiotti, Fernando Defining soybean maturity group options for contrasting weather scenarios in the American Southern Cone |
| title | Defining soybean maturity group options for contrasting weather scenarios in the American Southern Cone |
| title_full | Defining soybean maturity group options for contrasting weather scenarios in the American Southern Cone |
| title_fullStr | Defining soybean maturity group options for contrasting weather scenarios in the American Southern Cone |
| title_full_unstemmed | Defining soybean maturity group options for contrasting weather scenarios in the American Southern Cone |
| title_short | Defining soybean maturity group options for contrasting weather scenarios in the American Southern Cone |
| title_sort | defining soybean maturity group options for contrasting weather scenarios in the american southern cone |
| topic | Soja Tiempo Meteorológico Madurez Manejo del Cultivo América del Sur Soybeans Weather Maturity Crop Management South America |
| url | http://hdl.handle.net/20.500.12123/12851 https://www.sciencedirect.com/science/article/abs/pii/S0378429022002477 https://doi.org/10.1016/j.fcr.2022.108676 |
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