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resumen

Resumen
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 [ver mas...]
dc.contributor.authorDi Mauro, Guido
dc.contributor.authorParra, Gonzalo
dc.contributor.authorSantos, Diego Jose
dc.contributor.authorEnrico, Juan Martin
dc.contributor.authorZuil, Sebastian
dc.contributor.authorMurgio, Marcos
dc.contributor.authorZbinden, Facundo
dc.contributor.authorCostanzi, Jerónimo
dc.contributor.authorArias, Norma Monica
dc.contributor.authorCarrio, Alejandro Javier
dc.contributor.authorVissani, Cristian Angel
dc.contributor.authorFuentes, Francisco Horacio
dc.contributor.authorSalvagiotti, Fernando
dc.coverage.spatialSouth America .......... (continent) (World)es_AR
dc.coverage.spatial1000002es_AR
dc.date.accessioned2022-09-12T12:22:14Z
dc.date.available2022-09-12T12:22:14Z
dc.date.issued2022-10
dc.identifier.issn0378-4290
dc.identifier.otherhttps://doi.org/10.1016/j.fcr.2022.108676
dc.identifier.urihttp://hdl.handle.net/20.500.12123/12851
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0378429022002477
dc.description.abstractSoybean 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-RIST-E6-I226-001/2019-RIST-E6-I226-001/AR./Red de evaluación de cultivareses_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceField Crops Research 287 : 108676 (October 2022)es_AR
dc.subjectSojaes_AR
dc.subjectSoybeanseng
dc.subjectTiempo Meteorológicoes_AR
dc.subjectWeathereng
dc.subjectMadurezes_AR
dc.subjectMaturityeng
dc.subjectManejo del Cultivoes_AR
dc.subjectCrop Managementeng
dc.subjectAmérica del Sures_AR
dc.subjectSouth Americaeng
dc.titleDefining soybean maturity group options for contrasting weather scenarios in the American Southern Conees_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Paranáes_AR
dc.description.filFil: Di Mauro, Guido. Grupo Don Mario (Buenos Aires); Argentinaes_AR
dc.description.filFil: Parra, Gonzalo. Grupo Don Mario (Buenos Aires); Argentinaes_AR
dc.description.filFil: Santos, Diego Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentinaes_AR
dc.description.filFil: Enrico, Juan Martin. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Grupo Manejo de Cultivos, Suelos y Agua. Argentinaes_AR
dc.description.filFil: Zuil, Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela; Argentinaes_AR
dc.description.filFil: Murgio, Marcos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentinaes_AR
dc.description.filFil: Zbinden, Facundo. Grupo Don Mario (Buenos Aires); Argentinaes_AR
dc.description.filFil: Costanzi, Jerónimo. Grupo Don Mario (Buenos Aires); Argentinaes_AR
dc.description.filFil: Arias, Norma Monica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentinaes_AR
dc.description.filFil: Carrio, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentinaes_AR
dc.description.filFil: Vissani, Cristian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentinaes_AR
dc.description.filFil: Fuentes, Francisco Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentinaes_AR
dc.description.filFil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentinaes_AR
dc.description.filFil: Salvagiotti, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.subtypecientifico


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