Francisco A. Molinari
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Francisco A. Molinari has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Guillermo Rubén Chantre
Centro de Recursos Naturales Renovables de la Zona Semiárida (UNS-CONICET), Departamento de Agronomía, Universidad Nacional del Sur, San Andrés 800, Bahía Blanca B8001, Argentina
3 shared publications - Anibal Manuel Blanco
Planta Piloto de Ingeniería Química–PLAPIQUI (UNS–CONICET), Bahía Blanca 8000, Argentina
2 shared publications - Federico R. Nuñes Fré
Facultad 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, Argentina
2 shared publications - Víctor F. Juan
Facultad de Agronomía de la Universidad Nacional del Centro de la Provincia de Buenos Aires (FAA-UNCPBA), Argentina
2 shared publications Aníbal M. Blanco
Universidad Nacional del Sur—CONICET
1 shared publicationMario R. Vigna
INTA EEA Bordenave
1 shared publication
Latest Publications
- Open Access
A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: Euphorbia davidii 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 Euphorbia davidii 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−1, were obtained in silico for similar levels of environmental impact.
Open AccessA Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: Euphorbia davidii 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 Euphorbia davidii 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−1, were obtained in silico for similar levels of environmental impact.
- Open Access
- 1 September 2022
- Published by MDPI AG in Preprints.org
A Weed Population Dynamics Model for Integrated Weed Management Decision-Making Support: Euphorbia Davidii 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 Euphorbia davidii 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 70/30 % data split respectively (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 case studies results suggest that the inclusion of cultural management practices could reduce 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 US$.ha-1, were obtained in silico for similar levels of environmental impact.
- 1 September 2022
- Published by MDPI AG in Preprints.org
Open AccessA Weed Population Dynamics Model for Integrated Weed Management Decision-Making Support: Euphorbia Davidii Subils in Soybean Crops as a Simulation Study.
A crop-weed simulation model is presented to compare and evaluate Integrated Weed Management (IWM) strategies. Specifically, the model was parameterized for soybean crops in competition with Euphorbia davidii Subils. We used both, weed and crop demographic data surveyed in agronomic fields of the central zone of the Buenos Aires province, Argentina, throughout two crop cycles (2011/2012 and 2013/2014). The proposed model underwent a calibration process and subsequent validation with 70/30 % data split respectively (N=37). Two annual-based and one multiannual-based case studies were simulated to demonstrate the performance of the model. Different IWM strategies were compared under both, operational and tactical planning horizons through the evaluation of different model outcomes (i.e. crop yield, interspecific competition, economic return, and environmental impact). Our case studies results suggest that the inclusion of cultural management practices could reduce weed interspecific competition by 46 to 97 % and weed seed production by 40 to 89%. An increment in both expected crop yield, by 6 to 20%, and annual gross margin, by 44 to 199 US$.ha-1, were obtained in silico for similar levels of environmental impact.