RT Journal Article
T1 Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans
A1 Oreja, Fernando H.
A1 Bastida Milián, Fernando
A1 González Andújar, José Luis
AB A bioeconomic model was developed for decision-making regarding large crabgrass (Digitaria sanguinalis) control in glyphosate-resistant soybeans in the Rolling Pampas ofArgentina. The model was used to evaluate the economic returns of four different glyphosate-based strategies for weed control. In the absence of herbicide application (T1), the soil seed bank increases to an equilibrium density of 12,079 seeds m-2 in three years. A single herbicide application during the early stages of the crop (T2), which was intended to be highly effective in the control of an early weed cohort, allows a late, unaffected cohort to produce sufficient seeds to maintain population densities in the soil seed bank. A single, delayed herbicide application (T3), which was intended to control both early and late cohorts, results in a soil seed bank increase up to an equilibrium density similar to that achieved without treatment. Two sequential herbicide applications per year (T4), targeting the two cohorts, leads to a soil seed bank density after 10 years of 107 seeds m-2. Model predictions indicate that in the absence of control measures, a 93% reduction in soybean yield was predicted due to weed interference. The lowest reduction in crop yield (27%) was predicted using strategy T4, which is the most common control measure used by local farmers. This strategy clearly outperforms the other options tested, leading to lower D. sanguinalis seed bank densities and higher soybean yields and economic returns compared to those obtained using the alternative strategies.
PB Pontificia Universidad Católica de Chile
SN 10.4067/S0718-16202012000200006
SN 0718-1620
YR 2012
FD 2012
LK http://hdl.handle.net/10272/13453
UL http://hdl.handle.net/10272/13453
LA spa
NO Oreja, F.H., Bastida Milián, F., González Andújar, J.L.: "Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans". Ciencia e Investigación Agraria. Vol. 39, n. 2, págs. 299-308, (2012). DOI: 10.4067/S0718-16202012000200006
NO This work was supported in part by FEDER funds and the Spanish Ministry of Innovation and Science (project AGL 2009-7883). We thank the Carolina Foundation for providing a grant to the first author, and we also thank Pilar Castro, Dr. Leguizamon and Dr. Tuesca for their help with this work.
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026