Artículo

Oreja, F. H., Bastida, F., & Gonzalez-Andújar, J. L. (2012)"Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans". Ciencia e Investigación Agraria,39, (2),p.299-308

Registro:

Documento:
Artículo
Título en español:
Simulación de estrategias de control para la toma de decisión de Digitaria sanguinalis en soja resistente a glifosato
Título en inglés:
Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans
Autor/es:
Oreja, Fernando Hugo; Bastida, Fernando; González Andújar, José L.
Año:
2012
Título revista:
Ciencia e Investigación Agraria
ISSN:
0304-5609
Volumen:
39
Número:
2
Páginas:
299-308
Temas:
CROP-WEED COMPETITION; DIGITARIA; GLYCINE MAX; HERBICIDES; LARGE CRABGRASS; SENSITIVITY ANALYSIS; TRANSGENIC CROP
Idioma:
Inglés
URL al Editor:

Resumen:

A bioeconomic model was developed for decision-making regarding large crabgrass (Digitaria sanguinalis) control in glyphosate-resistant soybeans in the Rolling Pampas of Argentina. 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 percent reduction in soybean yield was predicted due to weed interference. The lowest reduction in crop yield (27 percent) 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.

Citación:

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

Oreja, F. H., Bastida, F., & Gonzalez-Andújar, J. L. (2012). Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans. Ciencia e Investigación Agraria,39, (2),p.299-308
10.4067/S0718-16202012000200006

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

Oreja, Fernando Hugo, Bastida, Fernando, González Andújar, José L.. 2012. "Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans". Ciencia e Investigación Agraria 39, no.2:299-308.
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