Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control

Molinari, Franco A.; Blanco, Anı́bal M.; Vigna, Mario R.; Chantre, Guillermo R.

doi:10.1016/j.compag.2020.105597

Cited by 9 publications

(13 citation statements)

References 20 publications

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“…Among the potential limitations of this study, we should mention that an unambiguous distinction among maternal, after-ripening, germination and postgermination environmental effects is lacking. Based on both experimental and simulated data obtained from Molinari et al (2020), we assumed a rather simplified temporal distinction between the "maternal/after-ripening phase" and the "germination/ emergence phase" to analyse climate variations on the field emergence dynamics. Also, we assumed that the majority of the new seedlings in a given year results from seed dispersal of the previous year.…”

Section: Discussionmentioning

confidence: 99%

“…The emergence phase was also divided into autumn (February‐till‐April), winter (May‐till‐August) and spring period (September‐till‐November). Such distinction between phases was based on both experimental and simulated data generated by Molinari et al (2020).…”

Section: Methodsmentioning

confidence: 99%

“…For example, in temperate environments with mild winters and nonsevere soil moisture limitations, field emergence dynamics follow a regular sigmoidal-type pattern within a relatively short emergence window (Chantre et al, 2014;Martinson et al, 2007;Page, Gallagher, Kemanian, Zhang, & Fuerst, 2006). Conversely, under semiarid temperate conditions, A. fatua displays irregular time-distributed cohorts (Blanco et al, 2014;Chantre et al, 2012;Chantre, Vigna, Renzi, & Blanco, 2018;Molinari, Blanco, Vigna, & Chantre, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…For example, in temperate environments with mild winters and nonsevere soil moisture limitations, field emergence dynamics follow a regular sigmoidal‐type pattern within a relatively short emergence window (Chantre et al, 2014; Martinson et al, 2007; Page, Gallagher, Kemanian, Zhang, & Fuerst, 2006). Conversely, under semi‐arid temperate conditions, A. fatua displays irregular time‐distributed cohorts (Blanco et al, 2014; Chantre et al, 2012; Chantre, Vigna, Renzi, & Blanco, 2018; Molinari, Blanco, Vigna, & Chantre, 2020). Such ecophysiological behaviour suggests that A. fatua might have developed specific adaptations to different climate conditions (Chantre et al, 2014) which could be modulated, at least to some extent, by the duration of primary seed dormancy.…”

Section: Introductionmentioning

confidence: 99%

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Climate effect on Avena fatua field emergence dynamics: A 38‐year experiment in the semiarid Pampean region of Argentina

Renzi

Traversa

Vigna

et al. 2022

Annals of Applied Biology

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Climate events modulate weed population dynamics mainly by influencing field seedling emergence patterns. Field experiments aiming to study the influence of climate on the early‐stage establishment of weeds are of utmost importance from a practical and strategic decision‐making management point of view. The objective of this study was to analyse the effect of climate variations on the field emergence dynamics of Avena fatua in the southwest area of the semiarid Pampean region of Argentina. Field emergence patterns of A. fatua were monitored from 1977 to 2015. Seedling counts were destructively sampled at weekly intervals. Three quadrats (1 m2 each) were randomly distributed on a 5 ha experimental field with a high natural population density of A. fatua in the absence of a crop. Results show that the emergence strategy of this species is highly plastic with a striking variation in response to year‐to‐year climate signals. Avena fatua field emergence strategies were classified as staggered, early, medium and late based on both chronological and hydrothermal‐time parameters. In the short‐term, precipitation regimes during both the after‐ripening and emergence phases largely explained the resulting emergence strategy. In the long‐term, the combined effect of a reduction in both the precipitation frequency and the mean minimum temperature correlated with an increase in the staggered emergence pattern. Results also point out the adaptability of A. fatua in the area under study, further suggesting a bet‐hedging fitness strategy that could diminish the risk of population decline under changing climate scenarios. From an agronomic perspective, the occurrence of staggered emergence patterns with an extended emergence window would complicate the definition of the optimal time for weed control. Thus, tailoring decisions based on the Southern Oscillation Index (SOI) episodes (neutral, negative or positive) forecast plus the implementation of weed emergence models could lead to more accurate and sustainable weed management decisions.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Climate effect on Avena fatua field emergence dynamics: A 38‐year experiment in the semiarid Pampean region of Argentina

Renzi

Traversa

Vigna

et al. 2022

Annals of Applied Biology

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“…The cost/benefit quantification of different IWM strategies is not a straightforward process due to the necessity of a large amount of information that requires further systematization to be implemented within a decision-making framework. In this context, simulation models provide an ideal approach for systematizing this type of analysis [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Weed Population Dynamics Model for Integrated Weed Management Decision-Making Support: <em>Euphorbia Davidii</em> Subils in Soybean Crops as a Simulation Study.

Molinari¹,

Blanco²,

Fré³

et al. 2022

Preprint

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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.

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Site-specific herbicide spraying can control weeds as well as full spraying in the long-term. A simulation study

Maillot,

Vioix,

Colbach

2023

Computers and Electronics in Agriculture

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Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control

Cited by 9 publications

References 20 publications

Climate effect on Avena fatua field emergence dynamics: A 38‐year experiment in the semiarid Pampean region of Argentina

Climate effect on Avena fatua field emergence dynamics: A 38‐year experiment in the semiarid Pampean region of Argentina

A Weed Population Dynamics Model for Integrated Weed Management Decision-Making Support: <em>Euphorbia Davidii</em> Subils in Soybean Crops as a Simulation Study.

Site-specific herbicide spraying can control weeds as well as full spraying in the long-term. A simulation study

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