CENTRO DE RECURSOS NATURALES RENOVABLES DE LA ZONA SEMIÁRIDA

CONICET - UNS


PLANT ECOPHYSIOLOGY, POPULATION DYNAMICS AND MATHEMATICAL MODELS FOR DECISION-MAKING

PI: Dr. Ricardo Sabbatini
Independent Researcher, CONICET
Professor, Department of Agronomy, UNS

CV


Our research interest focuses on studying the ecophysiology and demographic and population dynamics of weeds and spontaneous wild flora with the aim to advance in the implementation of an agroecological crop system in the southern region of Buenos Aires province, Argentina.

In this direction, we have thoroughly focused on the development and validation of mathematical models to be used in decision-making by researchers, extension agents and farmers.

Weed Emergency Prediction System:

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


Lines of Research

  • Demographic and population dynamics studies in weeds and spontaneous flora.
  • Study on ecophysiological attributes of seeds due to their maternal environment.

  • Evaluation of the biological cost associated with herbicide resistance.

  • Development and validation of mathematical tools focused on aid in decision-making for agroecological weed management.


Recent publications

  • Renzi, J.P., Chantre, G.R., González-Andújar, J.L., & Cantamutto, M.A. (2019). Development and validation of a simulation model for hairy vetch (Vicia villosa Roth) self-regeneration under different crop rotations. Field Crops Research 235, 79–86. Doi: 10.1016/j.fcr.2019.02.020
  • Longás, M.M., Chantre, G.R., Gigón, R. & Sabbatini, M.R. (2018). Buglossoides arvensis L. In: Malezas e Invasoras de la Argentina. Tomo III: Historia y Biología. Fernández, O.; Leguizamón, E.S. & Acciaresi, H. (Eds.). Editorial Universidad Nacional del Sur, 117-127. ISBN 978-987-655-193-9.
  • Scursoni, J.A., Vigna, M.R., Gigón, R., Martín, A., Chantre, G.R. & Blanco, A. (2018). Avena fatua L. In: Malezas e Invasoras de la Argentina. Tomo III: Historia y Biología. Fernández, O.; Leguizamón, E.S. & Acciaresi, H. (Eds.). Editorial Universidad Nacional del Sur, 77-90. ISBN 978-987-655-193-9.
  • D'Amico, M.B., Calandrini, G., González-Andújar, J.L. & Chantre, G.R. (2018). Analysis of different management strategies for annual ryegrass (Lolium rigidum) based on a population dynamic model. International Journal of Bifurcation and Chaos 28 (12), 1-12. doi: 10.1142/S0218127418300410
  • Nuñez-Fré, F.R., Juan, V.F., Saint André, H.M. & Chantre, G.R. (2018). Demographic and Phenological Studies on David’s Spurge (Euphorbia davidii) in the Central Area of Buenos Aires Province, Argentina. Planta Daninha 36, e18174369. doi: 10.1590/s0100-83582018360100088
  • Chantre, G.R., Vigna, M.R., Renzi, J.P. & Blanco, A.M. (2018). A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks. Biosystems Engineering 170, 51-60. doi: 10.1016/j.biosystemseng.2018.03.014
  • Renzi, J.P.. Chantre, G.R. & Cantamutto, M.A. (2018). Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem. Grass and Forage Science 73(1), 146-158. doi: 10.1111/gfs.12295
  • Renzi, J.P., Chantre, G.R. & Cantamutto, M.A. (2017). Self-regeneration of hairy vetch (Vicia villosa Roth) as affected by seedling density and soil tillage method in a semi-arid agroecosystem. Grass and Forage Science 72(3), 524-533. doi: 10.1111/gfs.12255
  • Longás, M.M., Chantre, G.R. &  Sabbatini, M.R. (2016). Soil nitrogen fertilisation as a maternal effect on Buglossoides arvensis seed germinability. Weed Research 56(6), 462-469. doi: 10.1111/wre.12229
  • González-Andújar, J.L., Chantre, G.R., Morvillo, C., Blanco, A. & Forcella, F. (2016). Predicting field weed emergence with empirical models and soft computing techniques. Weed Research 56(6), 415-423. doi: 10.1111/wre.12223
  • Renzi, J.P., Chantre, G.R. & Cantamutto, M.A. (2016). Effect of water availability and seed source on physical dormancy break of Vicia villosa ssp. villosa. Seed Science Research 26(3), 254–263. doi: 10.1017/S096025851600012X.

Funding

  • PICT-2016-1575: Development of decision-making assistance tools based on integrated weed management: its application to agricultural systems in central-southern Buenos Aires.
  • PGI 24 / A225: Project PGI-UNS Weed management in the southern region of the province of Buenos Aires: ecophysiological studies and development of tools to assist in agronomic decision-making.
  • PIP Nº11220150100257CO CONICET: Development of tools for assistance in agronomic decision-making based on mathematical models: application to conventional and agroecological systems with emphasis on integrated weed management.
  • i-COOP + (COOPB20313) CSIC Program for Scientific Cooperation for Development: Scientific training specialized in the development of tools for assistance in making agronomic decisions based on integrated weed management.

National and International  collaborations

  • Dr. Aníbal M. Blanco, PLAPIQUI-CONICET, Argentina
  • Dr. María Belén D’Amico, IIIE-DIEC, CONICET-UNS, Argentina
  • Agronomic Eng. (MSc) Mario R. Vigna, INTA Bordenave, Argentina
  • Agronomic Eng. (MSc) Juan Pablo Renzi, INTA Ascasubi, Argentina
  • Agronomic Eng. (MSc) Ramón Gigón, private advisor, Argentina
  • Dr. José L. González-Andújar, Instituto de Agricultura Sostenible, CSIC, Spain
  • Dr. Frank Forcella, USDA-ARS, U.S.A.
  • Dr. Joel Torra, Dept. Horticultura y Fruticultura, Universidad de Lleida, Spain


Group Members

Dr. Guillermo R. Chantre

Adjunct Researcher, CONICET
Teaching Assistant, Dept. of Agronomy, UNS



Dr. María de las Mercedes Longás

Teaching Assistant, Dept. of Agronomy, UNS


Agricultural Eng. Laura Supiciche

Doctoral Fellow, CONICET
Teaching Assistant, Dept. of Agronomy, UNS


MSc. María Guadalupe Traversa

Teaching Assistant, Dept. of Agronomy, UNS


Agricultural Eng. Franco A. Molinari

Doctoral Fellow, Commission of Scientific Research of Buenos Aires Province (CIC)

@2020 CERZOS CONICET UNS

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