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resumen

Resumen
The semiarid Espinal in central Argentina, being recently transformed from natural semiarid grasslands into agriculture, represents an interesting scenario to understand the early stages of weed community assembly and its relationship with crop identity and management. Our aim was to characterize the weed communities in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.], the main crops of the Espinal region, under the dominant rainfed conditions. [ver mas...]
dc.contributor.authorRauber, Ruth Bibiana
dc.contributor.authorDemaria, Manuel Rodolfo
dc.contributor.authorJobbagy Gampel, Esteban Gabriel
dc.contributor.authorArroyo, Daniel Nicolas
dc.contributor.authorPoggio, Santiago Luis
dc.date.accessioned2018-07-25T12:28:58Z
dc.date.available2018-07-25T12:28:58Z
dc.date.issued2018-05
dc.identifier.issn0043-1745
dc.identifier.issn1550-2759
dc.identifier.otherhttps://doi.org/10.1017/wsc.2017.76
dc.identifier.urihttps://www.cambridge.org/core/journals/weed-science/article/weed-communities-in-semiarid-rainfed-croplands-of-central-argentina-comparison-between-corn-zea-mays-and-soybean-glycine-max-crops/DCA6EEB36D7E14ABC5E4C669CFD5EBF5
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2869
dc.description.abstractThe semiarid Espinal in central Argentina, being recently transformed from natural semiarid grasslands into agriculture, represents an interesting scenario to understand the early stages of weed community assembly and its relationship with crop identity and management. Our aim was to characterize the weed communities in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.], the main crops of the Espinal region, under the dominant rainfed conditions. Weed surveys were carried out in 53 fields, and farmers were interviewed to collect information about crop management. Floristic composition was compared within and between crops by calculating the additive partition of the abundance-based Bray-Curtis dissimilarity. We compared the frequency and mean cover of functional groups between crops through generalized linear models. Finally, canonical correspondence analysis was carried out to analyze the associations between floristic composition and agronomic variables. Mean alpha and gamma diversity was greater in corn (10.0 and 80 species, respectively) than in soybean (7.6 and 46 species, respectively). Furthermore, species composition of weed communities was more similar among soybean fields than among either cornfields or fields of both crops. Hence, floristic differences between crops are potentially the result of different microenvironmental heterogeneity above- and belowground, with corn likely to be more permissive to weed establishment compared with soybean. The higher frequency of annual, dicotyledonous, and native species, and the high proportion of rare species, mostly native, suggest a strong legacy of the original vegetation that thrived in these recently cultivated systems. The functional composition was also affected by agronomic management, with sulfur, nitrogen, and grass herbicide application being the most important factors related to the floristic composition of weed communities. This early description can be used as a starting point for studies concerning trajectories, mechanisms, and processes of weed communities related to environment and management.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceWeed Science 66 (3) : 368-378 (May 2018)es_AR
dc.subjectTierras Agrícolases_AR
dc.subjectFarmlandeng
dc.subjectMalezases_AR
dc.subjectWeedseng
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectSojaes_AR
dc.subjectSoybeanseng
dc.subjectCultivo de Temporales_AR
dc.subjectRainfed Farmingeng
dc.subject.otherArgentinaes_AR
dc.titleWeed Communities in Semiarid Rainfed Croplands of Central Argentina: Comparison between Corn (Zea mays) and Soybean (Glycine max) Cropses_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 San Luises_AR
dc.description.filFil: Rauber, Ruth Bibiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Demaria, Manuel Rodolfo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentinaes_AR
dc.description.filFil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentinaes_AR
dc.description.filFil: Arroyo, Daniel Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentinaes_AR
dc.description.filFil: Poggio, Santiago Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentinaes_AR
dc.subtypecientifico


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