Improving a herbicide risk assessment model in paddy rice cultivation
Herbicides play a pivotal role in paddy rice cultivation by effectively controlling weeds, thus ensuring optimal resource utilisation and higher crop yields, making them indispensable for efficient rice production systems. However, herbicide applications could be related to potential environmental i...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024029396 |
| _version_ | 1797259802993229824 |
|---|---|
| author | D. Voccia L. Lamastra G. Fragkoulis A. Facchi O. Gharsallah F. Ferrari A. Tediosi M. Trevisan |
| author_facet | D. Voccia L. Lamastra G. Fragkoulis A. Facchi O. Gharsallah F. Ferrari A. Tediosi M. Trevisan |
| author_sort | D. Voccia |
| collection | DOAJ |
| description | Herbicides play a pivotal role in paddy rice cultivation by effectively controlling weeds, thus ensuring optimal resource utilisation and higher crop yields, making them indispensable for efficient rice production systems. However, herbicide applications could be related to potential environmental impacts such as water contamination and harm to non-target species, requiring special attention in their management to ensure the long-term sustainability of rice farming practices. The development and utilisation of robust risk assessment indicators for pesticides are essential tools in evaluating and mitigating potential environmental and human health hazards associated with pesticide use in agricultural practices. The Environmental Potential Risk Indicator for Pesticides (EPRIP) is not suitable for rice paddy cultivation due to its limitations in accurately assessing pesticide risk in this specific agricultural context. This is primarily attributed to the unique hydrological characteristics and ecosystem dynamics of paddy fields, which significantly differ from other agricultural systems. To address this issue and to enhance the accuracy of pesticide risk assessment in rice paddy fields, EPRIP has been improved and validated in two agricultural seasons. A synergistic approach involving field experiments and enhanced EPRIP model simulations was employed to assess the risk associated with the application of two herbicides in Italian paddy rice systems. The observed and model-predicted surface water (SW) concentrations exhibited a close alignment, though an overestimation was observed for groundwater (GW). In general, the estimated Risk Points (1 for SW and 4 for GW) were largely in accord with those derived from the field experiments (1 for SW and 3 for GW), suggesting that the refined EPRIP model holds promise for conducting reliable risk assessments following herbicide applications in such contexts. |
| first_indexed | 2024-03-07T14:28:35Z |
| format | Article |
| id | doaj.art-aa93dfe14ef048d984d80f82f6b168c4 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T23:15:14Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-aa93dfe14ef048d984d80f82f6b168c42024-03-17T07:56:44ZengElsevierHeliyon2405-84402024-03-01105e26908Improving a herbicide risk assessment model in paddy rice cultivationD. Voccia0L. Lamastra1G. Fragkoulis2A. Facchi3O. Gharsallah4F. Ferrari5A. Tediosi6M. Trevisan7Dipartimento di Scienze e Tecnologie Alimentari per una filiera agro-alimentare Sostenibile, Università Cattolica del Sacro Cuore, Piacenza, Italy; Corresponding author.Dipartimento di Scienze e Tecnologie Alimentari per una filiera agro-alimentare Sostenibile, Università Cattolica del Sacro Cuore, Piacenza, Italy; Corresponding author.Aeiforia srl, Gariga di Podenzano, ItalyDepartment of Agricultural and Environmental Sciences—Production, Landscape, Agroenergy, Università degli Studi di Milano, Milan, ItalyDepartment of Agricultural and Environmental Sciences—Production, Landscape, Agroenergy, Università degli Studi di Milano, Milan, ItalyAeiforia srl, Gariga di Podenzano, ItalyAeiforia srl, Gariga di Podenzano, ItalyDipartimento di Scienze e Tecnologie Alimentari per una filiera agro-alimentare Sostenibile, Università Cattolica del Sacro Cuore, Piacenza, ItalyHerbicides play a pivotal role in paddy rice cultivation by effectively controlling weeds, thus ensuring optimal resource utilisation and higher crop yields, making them indispensable for efficient rice production systems. However, herbicide applications could be related to potential environmental impacts such as water contamination and harm to non-target species, requiring special attention in their management to ensure the long-term sustainability of rice farming practices. The development and utilisation of robust risk assessment indicators for pesticides are essential tools in evaluating and mitigating potential environmental and human health hazards associated with pesticide use in agricultural practices. The Environmental Potential Risk Indicator for Pesticides (EPRIP) is not suitable for rice paddy cultivation due to its limitations in accurately assessing pesticide risk in this specific agricultural context. This is primarily attributed to the unique hydrological characteristics and ecosystem dynamics of paddy fields, which significantly differ from other agricultural systems. To address this issue and to enhance the accuracy of pesticide risk assessment in rice paddy fields, EPRIP has been improved and validated in two agricultural seasons. A synergistic approach involving field experiments and enhanced EPRIP model simulations was employed to assess the risk associated with the application of two herbicides in Italian paddy rice systems. The observed and model-predicted surface water (SW) concentrations exhibited a close alignment, though an overestimation was observed for groundwater (GW). In general, the estimated Risk Points (1 for SW and 4 for GW) were largely in accord with those derived from the field experiments (1 for SW and 3 for GW), suggesting that the refined EPRIP model holds promise for conducting reliable risk assessments following herbicide applications in such contexts.http://www.sciencedirect.com/science/article/pii/S2405844024029396PesticidesIndicatorRisk assessmentSustainabilityGroundwaterSurface water |
| spellingShingle | D. Voccia L. Lamastra G. Fragkoulis A. Facchi O. Gharsallah F. Ferrari A. Tediosi M. Trevisan Improving a herbicide risk assessment model in paddy rice cultivation Heliyon Pesticides Indicator Risk assessment Sustainability Groundwater Surface water |
| title | Improving a herbicide risk assessment model in paddy rice cultivation |
| title_full | Improving a herbicide risk assessment model in paddy rice cultivation |
| title_fullStr | Improving a herbicide risk assessment model in paddy rice cultivation |
| title_full_unstemmed | Improving a herbicide risk assessment model in paddy rice cultivation |
| title_short | Improving a herbicide risk assessment model in paddy rice cultivation |
| title_sort | improving a herbicide risk assessment model in paddy rice cultivation |
| topic | Pesticides Indicator Risk assessment Sustainability Groundwater Surface water |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024029396 |
| work_keys_str_mv | AT dvoccia improvingaherbicideriskassessmentmodelinpaddyricecultivation AT llamastra improvingaherbicideriskassessmentmodelinpaddyricecultivation AT gfragkoulis improvingaherbicideriskassessmentmodelinpaddyricecultivation AT afacchi improvingaherbicideriskassessmentmodelinpaddyricecultivation AT ogharsallah improvingaherbicideriskassessmentmodelinpaddyricecultivation AT fferrari improvingaherbicideriskassessmentmodelinpaddyricecultivation AT atediosi improvingaherbicideriskassessmentmodelinpaddyricecultivation AT mtrevisan improvingaherbicideriskassessmentmodelinpaddyricecultivation |