Guillermo R. Chantre

Associate Professor & Researcher UNS-CERZOS/CONICET Weed ecology & Management/ Weed modeling/ Decision Support Systems

Development of decision making tools for Integrated weed management: its application to agricultural systems of the Semiarid Temperate Region of Argentina.


http://pronostico-malezas.frbb.utn.edu.ar/

Goal: The overall objective of this project is to develop tools to assist farmers and agronomist within an IWM decision making process. Strategic and operational planning are proposed in order to estimate the cost / benefit relationship of agricultural activity and also quantify the environmental impact at a regional scale. 

Publications


Operational planning of herbicide-based weed management


Mariela V. Lodovichi, Aníbal M. Blanco, Guillermo R. Chantre, J. Alberto Bandoni, Mario R. Sabbatini, Mario Vigna, Ricardo López, Ramón Gigón

Agricultural Systems, vol. 121, 2013, pp. 117-129


Simulation Models on the Ecology and Management of Arable Weeds: Structure, Quantitative Insights, and Applications


Muthukumar V. Bagavathiannan, Hugh J. Beckie, Guillermo R. Chantre, Jose L. Gonzalez-Andujar, Ramon G. Leon, Paul Neve, Santiago L. Poggio, Brian J. Schutte, Gayle J. Somerville, Rodrigo Werle, Rene Van Acker

Agronomy, vol. 10, 2020


Development and validation of a simulation model for hairy vetch (Vicia villosa Roth) self-regeneration under different crop rotations


Juan P. Renzi, Guillermo R. Chantre, José L. González-Andújar, Miguel A. Cantamutto

Field Crops Research, vol. 235, 2019, pp. 79-86


Decision Support Systems for Weed Management


Guillermo R. Chantre, José L. González-Andújar

Guillermo R. Chantre, José L. González-Andújar, Springer, 2020


Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model


María Belén D’Amico, Guillermo L. Calandrini, José L. González-Andujar, Guillermo R. Chantre

International Journal of Bifurcation and Chaos, vol. 28, World Scientific, 2018, p. 1830041


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


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

Computers and Electronics in Agriculture, vol. 175, 2020, p. 105597


Effect of Barley Sowing Density on the Integrated Weed Management of Lolium rigidum (Annual Ryegrass) in Mediterranean Dryland: A Modeling Approach


María Belén D’Amico, Guillermo R. Chantre, Guillermo L. Calandrini, José L. González-Andújar

Agronomy, vol. 11, 2021


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