Spatial analysis methodology of resistance to penetration and infiltration in a soil cultivated with a bushy fruit (Acca sellowiana)
The sustainable management of water and soil resources for agricultural purposes is related to the ability to store and mobilize available water for crops, particularly under a spatial analysis. The objective of the study was to design and evaluate a methodology for spatial analysis of resistance to...
- Autores:
-
Orjuela, Helber
Monsalve Camacho, Oscar Iván
Sanjuanelo Corredor, Danny Wilson
VELANDIA MORA, JUAN ALEJANDRO
Cano Torres, Mario Alejandro
QUINTERO MONROY, OMAR CAMILO
Marentes Barrantes, Diana Lorena
Duarte Gómez, Héctor William
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
- Repositorio:
- Repositorio Institucional UDCA
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udca.edu.co:11158/5227
- Acceso en línea:
- https://repository.udca.edu.co/handle/11158/5227
http://doi.org/10.31910/rudca.v25.n2.2022.233
https://repository.udca.edu.co/
- Palabra clave:
- Kriging
Análisis espacial
Movimiento del agua en el suelo
Acca sellowiana
Propiedades del suelo
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es
Summary: | The sustainable management of water and soil resources for agricultural purposes is related to the ability to store and mobilize available water for crops, particularly under a spatial analysis. The objective of the study was to design and evaluate a methodology for spatial analysis of resistance to soil penetration and infiltration on loamy-clay textures. The basic methodological principles included sampling grid planning, data capture at defined points, data fitting to empirical models, data processing, and spatial representation. A defining moment was evaluated for an established feijoa crop with permanent production. With a georeferenced rectangular sampling grid of 40m x 40m, an area of 1.36 ha was covered. Penetration resistance was measured with a penetrometer, covering 4 depths per node (sampled point). Infiltration was evaluated with ring infiltrometers. The results allowed validation of the methodology implemented through a single processing environment through RStudio. Resistance to penetration sensitively affected the variation in infiltration rates, adjusting planning activities for irrigation activities. The methodological proposal was designed to reduce processing times and graphic responses, tabulated, and integrated with a single script in the R tool, compared to traditional geostatistical techniques, which articulate the implementation of multiple tools for the generation of results. |
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