Modernizing Integrated Management Practices for Sclerotinia Stem Rot of Soybean (Glycine Max)


Book Description

Soybean production in the Upper Midwest region of the United States is consistently threatened by Sclerotinia stem rot (SSR), caused by the fungal pathogen Sclerotinia sclerotiorum. Management practices for this disease have historically been studied in depth. However, a reevaluation and modernization of these practices is greatly needed. To achieve this, many methods of control are being examined such as the assessment of integrating multiple cultural practices, the reassessment of chemical controls, the development of improved genetic resistance through both classical breeding and reverse genetics, and the integration of resistant genotypes into predictive models. From this research, the optimum cultural and chemical practices were identified for controlling SSR across the Midwest. These practices were examined for their effect on partial profits to understand their economic feasibility. Through breeding efforts, three elite soybean genotypes were identified with high levels of resistance to SSR, and more early-generation breeding lines are being progressed from additional breeding populations. Furthermore, four breeding lines were identified as having differential consistent responses to S. sclerotiorum, and these four lines were established as standardized checks. Using these four check lines, the integration of resistance into S. sclerotiorum apothecial models is being studied to improve predictive accuracy. Collectively, these research efforts will help to modernize management and control of SSR from both research and production perspectives.




The Economics of Glyphosate Resistance Management in Corn and Soybean Production


Book Description

Glyphosate, known by many trade names, including Roundup, is a highly effective herbicide. Widespread glyphosate use for corn and soybean has led to glyphosate resistance, which is now documented in 14 weed species affecting U.S. cropland, and recent surveys suggest that acreage with glyphosate-resistant (GR) weeds is expanding. Data from USDA's Agricultural Resource Management Survey (ARMS), along with the Benchmark Study (conducted independently by plant scientists), are used to address several issues raised by the spread of GR weeds. Choices made by growers that could help manage glyphosate resistance include using glyphosate during fewer years, combining it with one or more alternative herbicides, and, most importantly, not applying glyphosate during consecutive growing seasons. As a result, managing glyphosate resistance is more cost effective than ignoring it, and after about 2 years, the cumulative impact of the returns received is higher when managing instead of ignoring resistance.




Ecological and Quantitative Studies of Occurrence of Soybean Sclerotinia Stem Rot, Caused by Sclerotinia Sclerotiorum, in the North-Central Region of the United States


Book Description

Since the early 90's, Sclerotinia stem rot of soybeans (SSR), caused by Sclerotinia sclerotiorum (Lib.) de Bary, has emerged as a serious problem in the north-central soybean production region of the United States. Understanding the epidemiology of Sclerotinia sclerotiorum and developing models that explain, and eventually may forecast, the risk of SSR occurrence in the region may help extension specialists and growers manage the disease. Regional prevalence of soybean SSR was modeled using historical data collected between 1995 and 1998 from 4 states of the North-Central Region of the United States (Illinois, Iowa, Minnesota and Ohio). Tillage practices, soil texture, and summer weather variables from the National Oceanic and Atmospheric Administration (average monthly air temperature and total precipitation during July and August) were used as input variables. Logistic regression was used to estimate the probability of stem rot prevalence in the four states. A developed model had high explanatory power (77.8%). Bayesian analysis suggested that the four-year data set used in the analysis may not be informative enough to produce reliable estimates of the effect of some explanatory variables on SSR prevalence. The variable most sensitive to extra-sample incorporated information was precipitation of August. The relationships between management practices, weather variables and soybean yield were examined using multiple linear regression to investigate whether high potential yield environments are also high SSR risk environments. Occurrence of SSR was indeed found to be strongly associated with high attainable yield. Differences in soil temperature and water potential have been observed under different combinations of tillage regimes and planting row widths, with soil surface temperature and moisture fluctuating more under the combination of no tillage and wide rows than under other combinations. Experiments were conducted to determine the effects of soil temperature and water potential fluctuations on sclerotium germination, and apothecium production of Sclerotinia sclerotiorum. Our results showed that small temperature fluctuations increased sclerotia germination and apothecium production compared to large or no temperature fluctuations. Moisture fluctuations were detrimental to sclerotium germination and apothecium production, with the constant saturation treatment yielding the highest number of germinated sclerotia and apothecia.




Evaluation of Prediction Models for Sclerotinia Stem Rot (Sclerotinia Sclerotiorum) of Soybean (Glycine Max) in Quebec


Book Description

"In Québec's soybean (Glycine max (L.) Merr.) farms, Sclerotinia stem rot (SSR), a disease caused by the fungal pathogen Sclerotinia sclerotiorum (Lib.) de Bary, is commonly controlled by chemical fungicides sprayed during the crop's flowering growth stages. However, fungicide use efficiency varies largely based on the risk of disease outbreak, which is strongly influenced by agro-environmental conditions. Unnecessary or improperly timed fungicide applications are costly not only economically, but also environmentally. Prediction models can guide disease management decisions by informing of the necessity and timing of fungicide applications. In this project, S. sclerotiorum sclerotia were placed in commercial and research fields across soybean-producing regions of Québec. The goal was to assess the relationship between environmental and agronomic conditions and carpogenic germination of S. sclerotiorum. The predictive ability of Sclerotinia-related logistic regression models was evaluated under Québec's climatic conditions using data collected over three growing seasons. Based on the nature of the models selected, the predictive performance was assessed for two disease indicators: disease severity and apothecia presence. Upon validation and improvement, the models with the highest accuracy and predictive ability could be implemented in an integrated decision-support system for soybean producers in Québec"--




The Economics of Glyphosate Resistance Management in Corn and Soybean Production


Book Description

Glyphosate, known by many trade names, including Roundup, is a highly effective herbicide. Widespread glyphosate use for corn and soybean has led to glyphosate resistance, which is now documented in 14 weed species affecting U.S. cropland, and recent surveys suggest that acreage with glyphosate-resistant (GR) weeds is expanding. Data from USDA's Agricultural Resource Management Survey (ARMS), along with the Benchmark Study (conducted independently by plant scientists), are used to address several issues raised by the spread of GR weeds. Choices made by growers that could help manage glyphosate resistance include using glyphosate during fewer years, combining it with one or more alternative herbicides, and, most importantly, not applying glyphosate during consecutive growing seasons. As a result, managing glyphosate resistance is more cost effective than ignoring it, and after about 2 years, the cumulative impact of the returns received is higher when managing instead of ignoring resistance.




Modernizing Integrated Management Practices for Sclerotinia Stem Rot of Soybean (Glycine Max)


Book Description

Soybean production in the Upper Midwest region of the United States is consistently threatened by Sclerotinia stem rot (SSR), caused by the fungal pathogen Sclerotinia sclerotiorum. Management practices for this disease have historically been studied in depth. However, a reevaluation and modernization of these practices is greatly needed. To achieve this, many methods of control are being examined such as the assessment of integrating multiple cultural practices, the reassessment of chemical controls, the development of improved genetic resistance through both classical breeding and reverse genetics, and the integration of resistant genotypes into predictive models. From this research, the optimum cultural and chemical practices were identified for controlling SSR across the Midwest. These practices were examined for their effect on partial profits to understand their economic feasibility. Through breeding efforts, three elite soybean genotypes were identified with high levels of resistance to SSR, and more early-generation breeding lines are being progressed from additional breeding populations. Furthermore, four breeding lines were identified as having differential consistent responses to S. sclerotiorum, and these four lines were established as standardized checks. Using these four check lines, the integration of resistance into S. sclerotiorum apothecial models is being studied to improve predictive accuracy. Collectively, these research efforts will help to modernize management and control of SSR from both research and production perspectives.