Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans

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 t...

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Autores principales:	Oreja,Fernando H, Bastida,Fernando, Gonzalez-Andújar,José L
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2012
Materias:	Crop-weed competition Digitaria herbicides Glycine max large crabgrass sensitivity analysis transgenic crop
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000200006
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spelling	oai:scielo:S0718-162020120002000062012-10-24Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeansOreja,Fernando HBastida,FernandoGonzalez-Andújar,José L Crop-weed competition Digitaria herbicides Glycine max large crabgrass sensitivity analysis transgenic crop 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.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.39 n.2 20122012-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000200006en10.4067/S0718-16202012000200006
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Crop-weed competition Digitaria herbicides Glycine max large crabgrass sensitivity analysis transgenic crop
spellingShingle	Crop-weed competition Digitaria herbicides Glycine max large crabgrass sensitivity analysis transgenic crop Oreja,Fernando H Bastida,Fernando Gonzalez-Andújar,José L Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans
description	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.
author	Oreja,Fernando H Bastida,Fernando Gonzalez-Andújar,José L
author_facet	Oreja,Fernando H Bastida,Fernando Gonzalez-Andújar,José L
author_sort	Oreja,Fernando H
title	Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans
title_short	Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans
title_full	Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans
title_fullStr	Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans
title_full_unstemmed	Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans
title_sort	simulation of control strategies for decision-making regarding digitaria sanguinalis in glyphosate-resistant soybeans
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2012
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000200006
work_keys_str_mv	AT orejafernandoh simulationofcontrolstrategiesfordecisionmakingregardingdigitariasanguinalisinglyphosateresistantsoybeans AT bastidafernando simulationofcontrolstrategiesfordecisionmakingregardingdigitariasanguinalisinglyphosateresistantsoybeans AT gonzalezandujarjosel simulationofcontrolstrategiesfordecisionmakingregardingdigitariasanguinalisinglyphosateresistantsoybeans
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Simulation of control strategies for decision-making regarding Digitaria sanguinalis in glyphosate-resistant soybeans

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