PLANT ECOPHYSIOLOGY, POPULATION DYNAMICS AND MATHEMATICAL MODELS FOR DECISION-MAKING
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.
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Study on ecophysiological attributes of seeds due to their maternal environment.
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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
See SIGEVA CONICET Dr. Guillermo Chantre
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. Ricardo Sabbatini
Professor, Department of Agronomy, UNS
CV
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