Artículo

Bagavathiannan, M. V.; Beckie, H. J.; Chantre, G. R.; González Andújar, J. L.; León, R. G.; Neve, P.; Poggio, S. L.; & Schutte, B. J. (2020)"Simulation models on the ecology and management of arable weeds : structure, quantitative insights, and applications". Agronomy,10, (10),art.1611, 24 p.

Registro:

Documento:
Artículo
Título en inglés:
Simulation models on the ecology and management of arable weeds : structure, quantitative insights, and applications
Autor/es:
Bagavathiannan, Muthukumar V.; Beckie, Hugh J.; Chantre, Guillermo Rubén; González Andújar, José L.; León, Ramón G.; Neve, Paul; Poggio, Santiago Luis; Schutte, Brian J.
Filiación:
Bagavathiannan, Muthukumar V. Texas A and M University. Department of Soil and Crop Sciences. College Station. USA.
Beckie, Hugh J. The University of Western Australia. School of Agriculture and Environment. Western Australia, Australia.
Chantre, Guillermo R. Universidad Nacional del Sur. Departamento de Agronomía. CERZOS. Bahía Blanca, Buenos Aires, Argentina.
Chantre, Guillermo R. CONICET - Universidad Nacional del Sur. Departamento de Agronomía. CERZOS. Bahía Blanca, Buenos Aires, Argentina.
González Andújar, José L. Instituto de Agricultura Sostenible (CSIC). Cordoba, Spain.
León, Ramón G. North Carolina State University. Department of Crop and Soil Sciences. Center for Environmental Farming Systems, Genetic Engineering and Society Center. Raleigh, USA.
Neve, Paul. Agriculture and Horticulture Development Board. Stoneleigh Park, Kenilworth, UK.
Poggio, Santiago Luis. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.
Poggio, Santiago Luis. CONICET - Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.
Poggio, Santiago Luis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Producción Vegetal. Buenos Aires, Argentina.
Schutte, Brian J. New Mexico State University. Department of Entomology, Plant Pathology and Weed Science. Las Cruces, USA.
Año:
2020
Título revista:
Agronomy
ISSN:
2073-4395
Volumen:
10
Número:
10
Páginas:
art.1611, 24 p.
Temas:
WEED SEEDLING EMERGENCE; CROP - WEED COMPETITION; WEED POPULATION DYNAMICS; GENE FLOW; HERBICIDE RESISTANCE; DECISION - SUPPORT TOOLS; PREDICTIVE MODELS
Idioma:
Inglés
URL al Editor:

Resumen:

In weed science and management, models are important and can be used to better understand what has occurred in management scenarios, to predict what will happen and to evaluate the outcomes of control methods. To-date, perspectives on and the understanding of weed models have been disjointed, especially in terms of how they have been applied to advance weed science and management. This paper presents a general overview of the nature and application of a full range of simulation models on the ecology, biology, and management of arable weeds, and how they have been used to provide insights and directions for decision making when long-term weed population trajectories are impractical to be determined using field experimentation. While research on weed biology and ecology has gained momentum over the past four decades, especially for species with high risk for herbicide resistance evolution, knowledge gaps still exist for several life cycle parameters for many agriculturally important weed species. More research efforts should be invested in filling these knowledge gaps, which will lead to better models and ultimately better inform weed management decision making.

Citación:

---------- APA ----------

Bagavathiannan, M. V.; Beckie, H. J.; Chantre, G. R.; González Andújar, J. L.; León, R. G.; Neve, P.; Poggio, S. L.; & Schutte, B. J. (2020). Simulation models on the ecology and management of arable weeds : structure, quantitative insights, and applications. Agronomy,10, (10),art.1611, 24 p.
10.3390/agronomy10101611

---------- CHICAGO ----------

Bagavathiannan, Muthukumar V.,Beckie, Hugh J.,Chantre, Guillermo Rubén,González Andújar, José L.,León, Ramón G.,Neve, Paul, et al.. 2020. "Simulation models on the ecology and management of arable weeds : structure, quantitative insights, and applications". Agronomy 10, no.10:art.1611, 24 p..
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http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2020bagavathiannan