A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: <i>Euphorbia davidii</i> Subils in Soybean Crops as a Simulation Study
A crop–weed simulation model is presented to compare and evaluate integrated weed-management (IWM) strategies. Specifically, the model was parameterized for soybean crops in competition with <i>Euphorbia davidii</i> Subils. We used both weed and crop demographic data surveyed in agronomi...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
|
| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/12/10/2369 |
| _version_ | 1797476097883897856 |
|---|---|
| author | Franco A. Molinari Aníbal M. Blanco Federico R. Núñez Fré Víctor F. Juan Guillermo R. Chantre |
| author_facet | Franco A. Molinari Aníbal M. Blanco Federico R. Núñez Fré Víctor F. Juan Guillermo R. Chantre |
| author_sort | Franco A. Molinari |
| collection | DOAJ |
| description | A crop–weed simulation model is presented to compare and evaluate integrated weed-management (IWM) strategies. Specifically, the model was parameterized for soybean crops in competition with <i>Euphorbia davidii</i> Subils. We used both weed and crop demographic data surveyed in agronomic fields of the central zone of the Buenos Aires province, Argentina, throughout two crop cycles (2011/2012 and 2013/2014). The proposed model underwent a calibration process and subsequent validation with a 70/30% data split, (N = 37). Two annual-based and one multiannual-based case studies were simulated to demonstrate the performance of the model. Different IWM strategies were compared under both operational and tactical planning horizons through the evaluation of different model outcomes (i.e., crop yield, interspecific competition, economic return, and environmental impact). Our results suggest that the inclusion of cultural management practices could reduce both weed interspecific competition by 46 to 97%, and weed seed production by 40 to 89 %. An increment in both expected crop yield, by 6 to 20%, and annual gross margin, by 44 to 199 USD.ha<sup>−1</sup>, were obtained in silico for similar levels of environmental impact. |
| first_indexed | 2024-03-09T20:54:06Z |
| format | Article |
| id | doaj.art-005d1c0aa4054cc2a414afb17a64139d |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-09T20:54:06Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-005d1c0aa4054cc2a414afb17a64139d2023-11-23T22:25:51ZengMDPI AGAgronomy2073-43952022-09-011210236910.3390/agronomy12102369A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: <i>Euphorbia davidii</i> Subils in Soybean Crops as a Simulation StudyFranco A. Molinari0Aníbal M. Blanco1Federico R. Núñez Fré2Víctor F. Juan3Guillermo R. Chantre4Departamento de Agronomía, Universidad Nacional del Sur, San Andrés 800, Bahía Blanca 8000, ArgentinaPlanta Piloto de Ingeniería Química—PLAPIQUI (Universidad Nacional del Sur-CONICET) Bahía Blanca, Buenos Aires 8000, ArgentinaFacultad de Agronomía, Universidad Nacional Del Centro de La Provincia de Buenos Aires (U.N.C.P.B.A), Av. República de Italia N°780, Azul 7300, ArgentinaFacultad de Agronomía, Universidad Nacional Del Centro de La Provincia de Buenos Aires (U.N.C.P.B.A), Av. República de Italia N°780, Azul 7300, ArgentinaDepartamento de Agronomía, Universidad Nacional del Sur, San Andrés 800, Bahía Blanca 8000, ArgentinaA crop–weed simulation model is presented to compare and evaluate integrated weed-management (IWM) strategies. Specifically, the model was parameterized for soybean crops in competition with <i>Euphorbia davidii</i> Subils. We used both weed and crop demographic data surveyed in agronomic fields of the central zone of the Buenos Aires province, Argentina, throughout two crop cycles (2011/2012 and 2013/2014). The proposed model underwent a calibration process and subsequent validation with a 70/30% data split, (N = 37). Two annual-based and one multiannual-based case studies were simulated to demonstrate the performance of the model. Different IWM strategies were compared under both operational and tactical planning horizons through the evaluation of different model outcomes (i.e., crop yield, interspecific competition, economic return, and environmental impact). Our results suggest that the inclusion of cultural management practices could reduce both weed interspecific competition by 46 to 97%, and weed seed production by 40 to 89 %. An increment in both expected crop yield, by 6 to 20%, and annual gross margin, by 44 to 199 USD.ha<sup>−1</sup>, were obtained in silico for similar levels of environmental impact.https://www.mdpi.com/2073-4395/12/10/2369weed managementpopulation dynamicssimulation modelgross marginenvironmental impactdecision making |
| spellingShingle | Franco A. Molinari Aníbal M. Blanco Federico R. Núñez Fré Víctor F. Juan Guillermo R. Chantre A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: <i>Euphorbia davidii</i> Subils in Soybean Crops as a Simulation Study Agronomy weed management population dynamics simulation model gross margin environmental impact decision making |
| title | A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: <i>Euphorbia davidii</i> Subils in Soybean Crops as a Simulation Study |
| title_full | A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: <i>Euphorbia davidii</i> Subils in Soybean Crops as a Simulation Study |
| title_fullStr | A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: <i>Euphorbia davidii</i> Subils in Soybean Crops as a Simulation Study |
| title_full_unstemmed | A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: <i>Euphorbia davidii</i> Subils in Soybean Crops as a Simulation Study |
| title_short | A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: <i>Euphorbia davidii</i> Subils in Soybean Crops as a Simulation Study |
| title_sort | weed population dynamics model for integrated weed management decision making support i euphorbia davidii i subils in soybean crops as a simulation study |
| topic | weed management population dynamics simulation model gross margin environmental impact decision making |
| url | https://www.mdpi.com/2073-4395/12/10/2369 |
| work_keys_str_mv | AT francoamolinari aweedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT anibalmblanco aweedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT federicornunezfre aweedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT victorfjuan aweedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT guillermorchantre aweedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT francoamolinari weedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT anibalmblanco weedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT federicornunezfre weedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT victorfjuan weedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy AT guillermorchantre weedpopulationdynamicsmodelforintegratedweedmanagementdecisionmakingsupportieuphorbiadavidiiisubilsinsoybeancropsasasimulationstudy |