Franco Ariel Molinari

Mr. Franco Ariel Molinari

CERZOS-CONICET/UNS, Bahía Blanca, Buenos Aires, Argentina
+1
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 September 2022 in Agronomy
Verified
Journal Article
Open access
PDF file
FMFranco Ariel Molinari
Franco Ariel Molinari
ABAníbal M. Blanco
Aníbal M. Blanco
FFFederico Nuñez Fre
Federico Nuñez Fre
VJVíctor F. Juan
Víctor F. Juan
Guillermo ChantreGuillermo Chantre
Guillermo Chantre
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.


1 September 2022 in Preprints.org
Verified
Preprint
Open access
PDF file
FMFranco Ariel Molinari
Franco Ariel Molinari
ABAníbal M. Blanco
Aníbal M. Blanco
FFFederico Nuñez Fre
Federico Nuñez Fre
VJVíctor F. Juan
Víctor F. Juan
Guillermo ChantreGuillermo Chantre
Guillermo Chantre
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.