ºÝºÝߣshows by User: NahuelPeralta1 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: NahuelPeralta1 / Tue, 13 Jan 2015 09:24:57 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: NahuelPeralta1 Peralta et al., 2013. Delineation of management zones with electroconductivity /slideshow/peralta-delineation-of-management-zones-with-electroconductivity/43471947 peraltadelineationofmanagementzoneswithelectroconductivity-150113092458-conversion-gate01
Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determination of subfield areas is difficult because of complex correlations and spatial variability of soil properties responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties, and a tool for the delimitation of homogeneous zones. ECa mapping of a total of 647 ha was performed in four sites of Argentinean pampas, with two fields per site composed of several soil series. Soil properties and ECa were analyzed using principal components (PC)stepwise regression and ANOVA. The PCstepwise regression showed that clay, soil organic matter (SOM), cation exchange capacity (CEC) and soil gravimetric water content (ug) are key loading factors, for explaining the ECa (R2]0.50). In contrast, silt, sand, extract electrical conductivity (ECext), pH values and NO3-N content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited three homogeneous soil zones associated with spatial distribution of clay, soil moisture, CEC, SOM content and pH. These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies.]]>
Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determination of subfield areas is difficult because of complex correlations and spatial variability of soil properties responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties, and a tool for the delimitation of homogeneous zones. ECa mapping of a total of 647 ha was performed in four sites of Argentinean pampas, with two fields per site composed of several soil series. Soil properties and ECa were analyzed using principal components (PC)stepwise regression and ANOVA. The PCstepwise regression showed that clay, soil organic matter (SOM), cation exchange capacity (CEC) and soil gravimetric water content (ug) are key loading factors, for explaining the ECa (R2]0.50). In contrast, silt, sand, extract electrical conductivity (ECext), pH values and NO3-N content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited three homogeneous soil zones associated with spatial distribution of clay, soil moisture, CEC, SOM content and pH. These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies.]]> Tue, 13 Jan 2015 09:24:57 GMT /slideshow/peralta-delineation-of-management-zones-with-electroconductivity/43471947 NahuelPeralta1@slideshare.net(NahuelPeralta1) Peralta et al., 2013. Delineation of management zones with electroconductivity NahuelPeralta1 Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determination of subfield areas is difficult because of complex correlations and spatial variability of soil properties responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties, and a tool for the delimitation of homogeneous zones. ECa mapping of a total of 647 ha was performed in four sites of Argentinean pampas, with two fields per site composed of several soil series. Soil properties and ECa were analyzed using principal components (PC)�stepwise regression and ANOVA. The PC�stepwise regression showed that clay, soil organic matter (SOM), cation exchange capacity (CEC) and soil gravimetric water content (ug) are key loading factors, for explaining the ECa (R2]0.50). In contrast, silt, sand, extract electrical conductivity (ECext), pH values and NO3�-N content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited three homogeneous soil zones associated with spatial distribution of clay, soil moisture, CEC, SOM content and pH. These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/peraltadelineationofmanagementzoneswithelectroconductivity-150113092458-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determination of subfield areas is difficult because of complex correlations and spatial variability of soil properties responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties, and a tool for the delimitation of homogeneous zones. ECa mapping of a total of 647 ha was performed in four sites of Argentinean pampas, with two fields per site composed of several soil series. Soil properties and ECa were analyzed using principal components (PC)�stepwise regression and ANOVA. The PC�stepwise regression showed that clay, soil organic matter (SOM), cation exchange capacity (CEC) and soil gravimetric water content (ug) are key loading factors, for explaining the ECa (R2]0.50). In contrast, silt, sand, extract electrical conductivity (ECext), pH values and NO3�-N content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited three homogeneous soil zones associated with spatial distribution of clay, soil moisture, CEC, SOM content and pH. These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies.
Peralta et al., 2013. Delineation of management zones with electroconductivity from Nahuel Peralta
]]> 556 3 https://cdn.slidesharecdn.com/ss_thumbnails/peraltadelineationofmanagementzoneswithelectroconductivity-150113092458-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-NahuelPeralta1-48x48.jpg?cb=1526820796 El aumento de la población y la demanda mundial de alimentos, incrementará la presión sobre el recurso suelo. Para satisfacer las necesidades alimentarias, nos debemos basar en el aumento de la productividad (tn/ha), sin degradar el recurso suelo (FAO, 2011). El desarrollo y la utilización de los SIG, los GPS y sensores remotos, dieron lugar a la Agricultura de Precisión (AP). La AP se define como la aplicación de prácticas agronómicas en el momento y lugar correcto. La AP permite mapear de forma rápida, intensiva y precisa la variabilidad espacial del recurso suelo y su interacción con los cultivos, permitiendo generar zonas de manejo (ZM). Actualmente, con el avance en las maquin