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A decision support system (GesCoN) for managing fertigation in open field vegetable crops. Part I—methodological approach and description of the software
Reduced water availability and environmental pollution caused by nitrogen (N) losses have increased the need for rational management of irrigation and N fertilization in horticultural systems. Decision support systems (DSS) could be powerful tools to assist farmers to improve irrigation and N fertil...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438600/ https://www.ncbi.nlm.nih.gov/pubmed/26042128 http://dx.doi.org/10.3389/fpls.2015.00319 |
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author | Elia, Antonio Conversa, Giulia |
author_facet | Elia, Antonio Conversa, Giulia |
author_sort | Elia, Antonio |
collection | PubMed |
description | Reduced water availability and environmental pollution caused by nitrogen (N) losses have increased the need for rational management of irrigation and N fertilization in horticultural systems. Decision support systems (DSS) could be powerful tools to assist farmers to improve irrigation and N fertilization efficiency. Currently, fertilization by drip irrigation system (fertigation) is used for many vegetable crops around the world. The paper illustrates the theoretical basis, the methodological approach and the structure of a DSS called GesCoN for fertigation management in open field vegetable crops. The DSS is based on daily water and N balance, considering the water lost by evapotranspiration (ET) and the N content in the aerial part of the crop (N uptake) as subtraction and the availability of water and N in the wet soil volume most effected by roots as the positive part. For the water balance, reference ET can be estimated using the Penman–Monteith (PM) or the Priestley–Taylor and Hargreaves models, specifically calibrated under local conditions. Both single or dual Kc approach can be used to calculate crop ET. Rain runoff and deep percolation are considered to calculate the effective rainfall. The soil volume most affected by the roots, the wet soil under emitters and their interactions are modeled. Crop growth is modeled by a non-linear logistic function on the basis of thermal time, but the model takes into account thermal and water stresses and allows an in-season calibration through a dynamic adaptation of the growth rate to the specific genetic and environmental conditions. N crop demand is related to DM accumulation by the N critical curve. N mineralization from soil organic matter is daily estimated. The DSS helps users to evaluate the daily amount of water and N fertilizer that has to be applied in order to fulfill the water and N-crop requirements to achieve the maximum potential yield, while reducing the risk of nitrate outflows. |
format | Online Article Text |
id | pubmed-4438600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44386002015-06-03 A decision support system (GesCoN) for managing fertigation in open field vegetable crops. Part I—methodological approach and description of the software Elia, Antonio Conversa, Giulia Front Plant Sci Plant Science Reduced water availability and environmental pollution caused by nitrogen (N) losses have increased the need for rational management of irrigation and N fertilization in horticultural systems. Decision support systems (DSS) could be powerful tools to assist farmers to improve irrigation and N fertilization efficiency. Currently, fertilization by drip irrigation system (fertigation) is used for many vegetable crops around the world. The paper illustrates the theoretical basis, the methodological approach and the structure of a DSS called GesCoN for fertigation management in open field vegetable crops. The DSS is based on daily water and N balance, considering the water lost by evapotranspiration (ET) and the N content in the aerial part of the crop (N uptake) as subtraction and the availability of water and N in the wet soil volume most effected by roots as the positive part. For the water balance, reference ET can be estimated using the Penman–Monteith (PM) or the Priestley–Taylor and Hargreaves models, specifically calibrated under local conditions. Both single or dual Kc approach can be used to calculate crop ET. Rain runoff and deep percolation are considered to calculate the effective rainfall. The soil volume most affected by the roots, the wet soil under emitters and their interactions are modeled. Crop growth is modeled by a non-linear logistic function on the basis of thermal time, but the model takes into account thermal and water stresses and allows an in-season calibration through a dynamic adaptation of the growth rate to the specific genetic and environmental conditions. N crop demand is related to DM accumulation by the N critical curve. N mineralization from soil organic matter is daily estimated. The DSS helps users to evaluate the daily amount of water and N fertilizer that has to be applied in order to fulfill the water and N-crop requirements to achieve the maximum potential yield, while reducing the risk of nitrate outflows. Frontiers Media S.A. 2015-05-20 /pmc/articles/PMC4438600/ /pubmed/26042128 http://dx.doi.org/10.3389/fpls.2015.00319 Text en Copyright © 2015 Elia and Conversa. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Elia, Antonio Conversa, Giulia A decision support system (GesCoN) for managing fertigation in open field vegetable crops. Part I—methodological approach and description of the software |
title | A decision support system (GesCoN) for managing fertigation in open field vegetable crops. Part I—methodological approach and description of the software |
title_full | A decision support system (GesCoN) for managing fertigation in open field vegetable crops. Part I—methodological approach and description of the software |
title_fullStr | A decision support system (GesCoN) for managing fertigation in open field vegetable crops. Part I—methodological approach and description of the software |
title_full_unstemmed | A decision support system (GesCoN) for managing fertigation in open field vegetable crops. Part I—methodological approach and description of the software |
title_short | A decision support system (GesCoN) for managing fertigation in open field vegetable crops. Part I—methodological approach and description of the software |
title_sort | decision support system (gescon) for managing fertigation in open field vegetable crops. part i—methodological approach and description of the software |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438600/ https://www.ncbi.nlm.nih.gov/pubmed/26042128 http://dx.doi.org/10.3389/fpls.2015.00319 |
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