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Abstract
Reducing the decision-making unit to classes within fields can improve yields, efficiency in the use of nutrients and profitability of crops. The objectives were to compare methods for class delimitation in wheat (Triticum aestivum L.) crops based on apparent productivity levels and establish similarities among them in terms of spatial overlapping, productive attributes and the use of nitrogen. In three wheat fields, high and low apparent productivity [ver mas...]
dc.contributor.authorLopez De Sabando, Marcelo
dc.contributor.authorDíaz Zorita, Martín
dc.date.accessioned2022-04-25T10:56:12Z
dc.date.available2022-04-25T10:56:12Z
dc.date.issued2022-02-02
dc.identifier.issn1385-2256
dc.identifier.issn1573-1618
dc.identifier.otherhttps://doi.org/10.1007/s11119-022-09878-3
dc.identifier.urihttp://hdl.handle.net/20.500.12123/11717
dc.identifier.urihttps://link.springer.com/article/10.1007/s11119-022-09878-3
dc.description.abstractReducing the decision-making unit to classes within fields can improve yields, efficiency in the use of nutrients and profitability of crops. The objectives were to compare methods for class delimitation in wheat (Triticum aestivum L.) crops based on apparent productivity levels and establish similarities among them in terms of spatial overlapping, productive attributes and the use of nitrogen. In three wheat fields, high and low apparent productivity classes (APC) were defined based on eight methodologies: yield maps, soil maps, gramineae vegetation index, rotation crop index, interpretation of satellite images, management records, elevation and integrated soil and yield maps. In each APC, soil and crop yield components were determined under five nitrogen fertilization levels. Among delimitation methodologies, the degree of coincidence varied from 1.4 to 81.7%. The differences in soil properties, nitrogen use efficiency and grain yields were greater among fields than among APC within each field. In each field, the delimitation methodologies identified different single factors that discriminated among the potential management classes and were partially associated with the crop grain yields. The wheat crops at the low APC yielded 39% less and 12% less than at the high APC, respectively. The nitrogen fertilization, at the rate for maximum productivity for each ACP, reduced the yield differences between contrasting APC. Nitrogen fertilization also modified clustering of classes based on expected yields. Making management classes for wheat based on expected productivity is more accurate when based on previous crop production information under similar nitrogen fertilization conditions than the targeted crop.es_AR
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-PE-E9-I177-001/2019-PE-E9-I177-001/AR./Desarrollo y aplicación de tecnologías de mecanización, precisión y digitalización de la Agricultura
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourcePrecision Agriculture (Published: 02 February 2022)es_AR
dc.subjectTrigoes_AR
dc.subjectWheateng
dc.subjectNitrógenoes_AR
dc.subjectNitrogeneng
dc.subjectEficiencia en el Uso de los Nutrienteses_AR
dc.subjectNutrient Use Efficiencyeng
dc.subjectSueloes_AR
dc.subjectSoileng
dc.subjectCultivo en Tierras Áridases_AR
dc.subjectDry Farmingeng
dc.subjectManejo del Cultivoes_AR
dc.subjectCrop Managementeng
dc.titleField methods for making productivity classes for site-specific management of wheates_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 Balcarcees_AR
dc.description.filFil: Lopez de Sabando, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Agencia De Extensión Rural Tandil; Argentina.es_AR
dc.description.filFil: Diaz Zorita, Martín. Universidad de La Pampa; Argentina.es_AR
dc.subtypecientifico


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