Guillermo R. Chantre

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

Publications



Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina


Juan P Renzi, Guadalupe Traversa, Mario R Vigna, Guillermo R Chantre

Annals of Applied Biology, Wiley Online Library


A Weed Population Dynamics Model for Integrated Weed-Management Decision-Making Support: Euphorbia davidii Subils in Soybean Crops as a Simulation Study


Franco A; Molinari, Aníbal M; Blanco, Federico R ; Nuñez-Fré, Victor F; Juan, Guillermo R Chantre

Agronomy, vol. 12, MDPI, 2022, p. 2369


Suppression of Lolium multiflorum Lam. with Vicia villosa Roth combined with residual herbicides


Juan Pablo Renzi Pugni, Cristian Perez Aagaard, Guillermo Ruben Chantre Balacca, Ramon Gigon, Omar Juan Reinoso, Matias Quintana, I Ducos, Miguel Angel Cantamutto

RIA, vol. 48(1), Ediciones INTA, 2022, pp. 111-117


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


Seed dormancy of Lolium perenne L. related to the maternal environment during seed filling


Rodrigo Fernández, Guillermo R. Chantre, Juan P. Renzi

Seed Science Research, vol. 31, Cambridge University Press, 2021, pp. 217–223


Effect of contrasting maternal nitrogen environments on Buglossoides arvensis seed germination response to gibberellic and abscisic acids


Maria de las Mercedes Longás, Mario Ricardo Sabbatini, Diego Batlla, Guillermo Ruben Chantre

Weed Research, vol. 61, Wiley Online Library, 2021, pp. 221--230


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


Decision Support Systems for Weed Management


Guillermo R. Chantre, José L. González-Andújar

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


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


Diversity of naturalized hairy vetch (Vicia villosa roth) populations in Central Argentina as a source of potential adaptive traits for breeding


Juan P Renzi, Guillermo R Chantre, Petr Smykal, Alejandro D Presotto, Luciano Zubiaga, Antonio F Garayalde, Miguel A Cantamutto

Frontiers in plant science, vol. 11, Frontiers, 2020, p. 189


Germination behaviour of Conyza bonariensis to constant and alternating temperatures across different populations


Francisco Valencia-Gredilla, Mar{\'\i}a L Supiciche, Guillermo R Chantre, Jordi Recasens, Aritz Royo-Esnal

Annals of Applied Biology, vol. 176, Wiley Online Library, 2020, pp. 36--46


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


A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks


Guillermo R. Chantre, Mario R. Vigna, Juan P. Renzi, Aníbal M. Blanco

Biosystems Engineering, vol. 170, 2018, pp. 51-60


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


Demographic and Phenological Studies on David’s Spurge (Euphorbia davidii) in the Central Area of Buenos Aires Province, Argentina


FR Núñez-Fré, Víctor Fabian Juan, HM Saint André, GR Chantre

Planta Daninha, vol. 36, SciELO Brasil, 2018


Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem


Juan Pablo Renzi, GR Chantre, MA Cantamutto

Grass and Forage Science, vol. 73, Wiley Online Library, 2018, pp. 146-158


Self-regeneration of hairy vetch (Vicia villosa Roth) as affected by seedling density and soil tillage method in a semi-arid agroecosystem


Juan Pablo Renzi, GR Chantre, MA Cantamutto

Grass and Forage Science, vol. 72, Wiley Online Library, 2017, pp. 524-533


Predicting field weed emergence with empirical models and soft computing techniques


Jose Luis Gonzalez-Andujar, Guillermo R Chantre, C Morvillo, Anibal Manuel Blanco, Frank Forcella

Weed research, vol. 56, Wiley Online Library, 2016, pp. 415--423


Soil nitrogen fertilisation as a maternal effect on Buglossoides arvensis seed germinability


MM Longas, GR Chantre, Mario Ricardo Sabbatini

Weed Research, vol. 56, Wiley Online Library, 2016, pp. 462-469


Effect of water availability and seed source on physical dormancy break of Vicia villosa ssp. villosa


Juan P Renzi, Guillermo R Chantre, Miguel A Cantamutto

Seed Science Research, vol. 26, Cambridge University Press, 2016, pp. 254--263


Modeling seed dormancy release and germination for predicting Avena fatua L. field emergence: A genetic algorithm approach


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

Ecological Modelling, vol. 272, 2014, pp. 293-300


A comparative study between non-linear regression and artificial neural network approaches for modelling wild oat (Avena fatua) field emergence


G. R. CHANTRE, A. M. BLANCO, F. FORCELLA, R. C. VAN ACKER, M. R. SABBATINI, J. L. GONZALEZ-ANDUJAR

The Journal of Agricultural Science, vol. 152, Cambridge University Press, 2014, pp. 254–262


Development of a thermal-time model for combinational dormancy release of hairy vetch (Vicia villosa ssp. villosa)


Juan P Renzi, Guillermo R Chantre, Miguel A Cantamutto

Crop and Pasture Science, vol. 65, CSIRO Publishing, 2014, pp. 470-478


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


Modeling Avena fatua seedling emergence dynamics: An artificial neural network approach


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

Computers and Electronics in Agriculture, vol. 88, 2012, pp. 95-102


An after-ripening thermal-time model for Lithospermum arvense seeds based on changes in population hydrotime parameters


GR Chantre, MR Sabbatini, GA Orioli

Weed Research, vol. 50, Wiley Online Library, 2010, pp. 218-227

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