Use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production
The spatial variability in soils used for livestock production (i.e. Natraquoll and Natraqualf) at farm and paddock scale is usually very high. Understanding this spatial variation within a field is the first step for site-specific crop management. For this reason, we evaluated whether apparent elec...
| Autores principales: | , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
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Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), España
2019
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/4829 http://revistas.inia.es/index.php/sjar/article/view/8032/2591 https://dx.doi.org/10.5424/sjar/2015134-8032 |
| _version_ | 1855035392923795456 |
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| author | Peralta, Nahuel Raúl Cicore, Pablo Leandro Marino, María Alejandra Marques da Silva, José Rafael Costa, Jose Luis |
| author_browse | Cicore, Pablo Leandro Costa, Jose Luis Marino, María Alejandra Marques da Silva, José Rafael Peralta, Nahuel Raúl |
| author_facet | Peralta, Nahuel Raúl Cicore, Pablo Leandro Marino, María Alejandra Marques da Silva, José Rafael Costa, Jose Luis |
| author_sort | Peralta, Nahuel Raúl |
| collection | INTA Digital |
| description | The spatial variability in soils used for livestock production (i.e. Natraquoll and Natraqualf) at farm and paddock scale is usually very high. Understanding this spatial variation within a field is the first step for site-specific crop management. For this reason, we evaluated whether apparent electrical conductivity (ECa), a widely used proximal soil sensing technology, is a potential estimator of the edaphic variability in these types of soils. ECa and elevation data were collected in a paddock of 16 ha. Elevation was negatively associated with ECa. Geo-referenced soil samples were collected and analyzed for soil organic matter (OM) content, pH, the saturation extract electrical conductivity (ECext), available phosphorous (P), and anaerobically incubated Nitrogen (Nan). Relationships between soil properties and ECa were analyzed using regression analysis, principal components analysis (PCA), and stepwise regression. Principal components (PC) and the PC-stepwise were used to determine which soil properties have an important influence on ECa. In this experiment elevation was negatively associated with ECa. The data showed that pH, OM, and ECext exhibited a high correlation with ECa (R2=0.76; 0.70 and 0.65, respectively). Whereas P and Nan showed a lower correlation (R2=0.54 and 0.11 respectively). The model resulting from the PC-stepwise regression analysis explained slightly more than 69% of the total variation of the measured ECa, only retaining PC1. Therefore, ECext, pH and OM were considered key latent variables because they substantially influence the relationship between the PC1 and the ECa (loading factors>0.4). Results showed that ECa is associated with the spatial distribution of some important soil properties. Thus, ECa can be used as a support tool to implement site-specific management in soils for livestock use. |
| format | info:ar-repo/semantics/artículo |
| id | INTA4829 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), España |
| publisherStr | Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), España |
| record_format | dspace |
| spelling | INTA48292025-09-08T10:13:27Z Use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production Peralta, Nahuel Raúl Cicore, Pablo Leandro Marino, María Alejandra Marques da Silva, José Rafael Costa, Jose Luis Suelo Propiedades del Suelo Producción Pecuaria Ganadería Sistemas de Información Geográfica Soil Soil Properties Livestock Production Animal Husbandry Geographical Information Systems Propiedades Edáficas The spatial variability in soils used for livestock production (i.e. Natraquoll and Natraqualf) at farm and paddock scale is usually very high. Understanding this spatial variation within a field is the first step for site-specific crop management. For this reason, we evaluated whether apparent electrical conductivity (ECa), a widely used proximal soil sensing technology, is a potential estimator of the edaphic variability in these types of soils. ECa and elevation data were collected in a paddock of 16 ha. Elevation was negatively associated with ECa. Geo-referenced soil samples were collected and analyzed for soil organic matter (OM) content, pH, the saturation extract electrical conductivity (ECext), available phosphorous (P), and anaerobically incubated Nitrogen (Nan). Relationships between soil properties and ECa were analyzed using regression analysis, principal components analysis (PCA), and stepwise regression. Principal components (PC) and the PC-stepwise were used to determine which soil properties have an important influence on ECa. In this experiment elevation was negatively associated with ECa. The data showed that pH, OM, and ECext exhibited a high correlation with ECa (R2=0.76; 0.70 and 0.65, respectively). Whereas P and Nan showed a lower correlation (R2=0.54 and 0.11 respectively). The model resulting from the PC-stepwise regression analysis explained slightly more than 69% of the total variation of the measured ECa, only retaining PC1. Therefore, ECext, pH and OM were considered key latent variables because they substantially influence the relationship between the PC1 and the ECa (loading factors>0.4). Results showed that ECa is associated with the spatial distribution of some important soil properties. Thus, ECa can be used as a support tool to implement site-specific management in soils for livestock use. EEA Balcarce Fil: Peralta, Nahuel Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina Fil: Cicore, Pablo Leandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Marino, María A. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina Fil: Marques da Silva, José Rafael. Centre for Interdisciplinary Development and Research on Environment, Applied Management and Space; Portugal. University of Évora, Escola de Ciências e Tecnologia. Instituto de Ciências Agrárias e Ambientais Mediterrânicas; Portugal. Centro de Inovação em Tecnologias de Informação; Portugal Fil: Costa, Jose Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina 2019-04-05T13:56:29Z 2019-04-05T13:56:29Z 2015 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/4829 http://revistas.inia.es/index.php/sjar/article/view/8032/2591 2171-9292 https://dx.doi.org/10.5424/sjar/2015134-8032 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), España Spanish Journal of Agricultural Research 13 (4) : e1103, 8 pages (2015) |
| spellingShingle | Suelo Propiedades del Suelo Producción Pecuaria Ganadería Sistemas de Información Geográfica Soil Soil Properties Livestock Production Animal Husbandry Geographical Information Systems Propiedades Edáficas Peralta, Nahuel Raúl Cicore, Pablo Leandro Marino, María Alejandra Marques da Silva, José Rafael Costa, Jose Luis Use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production |
| title | Use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production |
| title_full | Use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production |
| title_fullStr | Use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production |
| title_full_unstemmed | Use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production |
| title_short | Use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production |
| title_sort | use of geophysical survey as a predictor of the edaphic properties variability in soils used for livestock production |
| topic | Suelo Propiedades del Suelo Producción Pecuaria Ganadería Sistemas de Información Geográfica Soil Soil Properties Livestock Production Animal Husbandry Geographical Information Systems Propiedades Edáficas |
| url | http://hdl.handle.net/20.500.12123/4829 http://revistas.inia.es/index.php/sjar/article/view/8032/2591 https://dx.doi.org/10.5424/sjar/2015134-8032 |
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