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Dive into the research topics where Scott Chapman is active.

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Featured researches published by Scott Chapman.


Journal of Integrated Pest Management | 2014

Managing Colorado Potato Beetle Insecticide Resistance: New Tools and Strategies for the Next Decade of Pest Control in Potato

Anders S. Huseth; Russell L. Groves; Scott Chapman; Andrei Alyokhin; Thomas P. Kuhar; Ian V MacRae; Zsofia Szendrei; Brian A. Nault

Neonicotinoid insecticides have been the most common management tool for Colorado potato beetle, Leptinotarsa decemlineata (Say), infestations in cultivated potato for nearly 20 yr. The relative ease of applying neonicotinoids at planting coupled with inexpensive, generic neonicotinoid formulations has reduced the incentive for potato growers to transition from these products to other mode of action (MoA) groups for early-season L. decemlineata control. Continuous use of neonicotinoids has resulted in resistant L. decemlineata populations in some production areas of the eastern United States. Continued reliance on neonicotinoids will accelerate L. decemlineata resistance development and result in additional insecticide inputs to manage these populations. Resistance management recommendations for L. decemlineata have focused on rotation of insecticides within the growing season. Growers using at-plant neonicotinoids for early-season L. decemlineata control are encouraged to rotate MoAs for later generations to delay resistance development. Although this short-term insecticide rotation has likely prolonged the utility of neonicotinoid insecticides, reducing reliance on a single MoA soil application at planting will improve the longevity of newer, more reduced-risk alternatives. The objectives of this article are twofold: 1) to provide a review of the current status of L. decemlineata neonicotinoid resistance, and 2) to propose long-term resistance management strategies that arrange reduced-risk MoA groups into several, multiyear sequences that will maximize L. decemlineata control and reduce the probability for resistance development. This recommendation maintains practical and economical approaches for L. decemlineata control, but limits reliance on any single MoA group to minimize selection pressure for resistance development.


Pest Management Science | 2015

Evaluation of diamide insecticides co-applied with other agrochemicals at various times to manage Ostrinia nubilalis in processing snap bean

Anders S. Huseth; Russell L. Groves; Scott Chapman; Brian A. Nault

BACKGROUND Multiple applications of pyrethroid insecticides are used to manage European corn borer, Ostrinia nubilalis Hübner, in snap bean, but new diamide insecticides may reduce application frequency. In a 2 year small-plot study, O. nubilalis control was evaluated by applying cyantraniliprole (diamide) and bifenthrin (pyrethroid) insecticides at one of three phenological stages (bud, bloom and pod formation) of snap bean development. Co-application of these insecticides with either herbicides or fungicides was also examined as a way to reduce the total number of sprays during a season. RESULTS Cyantraniliprole applications timed either during bloom or during pod formation controlled O. nubilalis better than similar timings of bifenthrin. Co-applications of insecticides with fungicides controlled O. nubilalis as well as insecticide applications alone. Insecticides applied either alone or with herbicides during bud stage did not control this pest. CONCLUSION Diamides are an alternative to pyrethroids for the management of O. nubilalis in snap bean. Adoption of diamides by snap bean growers could improve the efficiency of production by reducing the number of sprays required each season.


Frontiers in Plant Science | 2017

Development and Evaluation of Glycine max Germplasm Lines with Quantitative Resistance to Sclerotinia sclerotiorum

Megan McCaghey; Jaime Willbur; Ashish Ranjan; C. R. Grau; Scott Chapman; Brian W. Diers; Carol L. Groves; Mehdi Kabbage; Damon L. Smith

Sclerotinia sclerotiorum, the causal agent of Sclerotinia stem rot, is a devastating fungal pathogen of soybean that can cause significant yield losses to growers when environmental conditions are favorable for the disease. The development of resistant varieties has proven difficult. However, poor resistance in commercial cultivars can be improved through additional breeding efforts and understanding the genetic basis of resistance. The objective of this project was to develop soybean germplasm lines that have a high level of Sclerotinia stem rot resistance to be used directly as cultivars or in breeding programs as a source of improved Sclerotinia stem rot resistance. Sclerotinia stem rot-resistant soybean germplasm was developed by crossing two sources of resistance, W04-1002 and AxN-1-55, with lines exhibiting resistance to Heterodera glycines and Cadophora gregata in addition to favorable agronomic traits. Following greenhouse evaluations of 1,076 inbred lines derived from these crosses, 31 lines were evaluated for resistance in field tests during the 2014 field season. Subsequently, 11 Sclerotinia stem rot resistant breeding lines were moved forward for field evaluation in 2015, and seven elite breeding lines were selected and evaluated in the 2016 field season. To better understand resistance mechanisms, a marker analysis was conducted to identify quantitative trait loci linked to resistance. Thirteen markers associated with Sclerotinia stem rot resistance were identified on chromosomes 15, 16, 17, 18, and 19. Our markers confirm previously reported chromosomal regions associated with Sclerotinia stem rot resistance as well as a novel region of chromosome 16. The seven elite germplasm lines were also re-evaluated within a greenhouse setting using a cut petiole technique with multiple S. sclerotiorum isolates to test the durability of physiological resistance of the lines in a controlled environment. This work presents a novel and comprehensive classical breeding method for selecting lines with physiological resistance to Sclerotinia stem rot and a range of agronomic traits. In these studies, we identify four germplasm lines; 91–38, 51–23, SSR51–70, and 52–82B exhibiting a high level of Sclerotinia stem rot resistance combined with desirable agronomic traits, including high protein and oil contents. The germplasm identified in this study will serve as a valuable source of physiological resistance to Sclerotinia stem rot that could be improved through further breeding to generate high-yielding commercial soybean cultivars.


Plant Disease | 2018

Weather-Based Models for Assessing the Risk of Sclerotinia sclerotiorum Apothecial Presence in Soybean (Glycine max) Fields

Jaime Willbur; Mamadou L. Fall; Christopher Bloomingdale; Adam M. Byrne; Scott Chapman; Scott A. Isard; Roger D. Magarey; Megan McCaghey; Brian D. Mueller; Joseph M. Russo; Jay Schlegel; Martin I. Chilvers; Daren S. Mueller; Mehdi Kabbage; Damon L. Smith

Sclerotinia stem rot (SSR) epidemics in soybean, caused by Sclerotinia sclerotiorum, are currently responsible for annual yield reductions in the United States of up to 1 million metric tons. In-season disease management is largely dependent on chemical control but its efficiency and cost-effectiveness depends on both the chemistry used and the risk of apothecia formation, germination, and further dispersal of ascospores during susceptible soybean growth stages. Hence, accurate prediction of the S. sclerotiorum apothecial risk during the soybean flowering period could enable farmers to improve in-season SSR management. From 2014 to 2016, apothecial presence or absence was monitored in three irrigated (n = 1,505 plot-level observations) and six nonirrigated (n = 2,361 plot-level observations) field trials located in Iowa (n = 156), Michigan (n = 1,400), and Wisconsin (n = 2,310), for a total of 3,866 plot-level observations. Hourly air temperature, relative humidity, dew point, wind speed, leaf wetness, and rainfall were also monitored continuously, throughout the season, at each location using high-resolution gridded weather data. Logistic regression models were developed for irrigated and nonirrigated conditions using apothecial presence as a binary response variable. Agronomic variables (row width) and weather-related variables (defined as 30-day moving averages, prior to apothecial presence) were tested for their predictive ability. In irrigated soybean fields, apothecial presence was best explained by row width (r = -0.41, P < 0.0001), 30-day moving averages of daily maximum air temperature (r = 0.27, P < 0.0001), and daily maximum relative humidity (r = 0.16, P < 0.05). In nonirrigated fields, apothecial presence was best explained by using moving averages of daily maximum air temperature (r = -0.30, P < 0.0001) and wind speed (r = -0.27, P < 0.0001). These models correctly predicted (overall accuracy of 67 to 70%) apothecial presence during the soybean flowering period for four independent datasets (n = 1,102 plot-level observations or 30 daily mean observations).


Pest Management Science | 2017

Temporal patterns of imidacloprid resistance throughout a growing season in Leptinotarsa decemlineata populations

Justin Clements; Sean D. Schoville; Nathan Clements; Scott Chapman; Russell L. Groves

Abstract BACKGROUND The Colorado potato beetle, Leptinotarsa decemlineata (Say), is a major agricultural pest of commercial potatoes. Pest managers use a combination of control tactics to limit populations, including multiple insecticides. Finding a window of insecticide susceptibility and understanding genetic responses to insecticide exposure during a growing season may provide novel management recommendations for L. decemlineata. RESULTS We examined temporal changes (during one growing season) in phenotypic response between a susceptible population and an imidacloprid‐resistant population. Beetles remained more susceptible to imidacloprid in the susceptible population throughout the growing season. Estimated mean LC50 values varied throughout the growing season in the resistant population, with increased susceptibility among overwintered and recently emerged adult beetles compared with a heightened level of resistance in the second generation. RNA transcript abundance was compared among multiple time points through the growing season, showing that cuticular proteins and cytochrome p450s were highly upregulated during peaks of measured resistance. CONCLUSION Temporal variation in imidacloprid susceptibility of L. decemlineata was observed, which included early time points of susceptibility and later peaks in resistance. Heightened resistance occurred during the second generation and correlated to increased transcript abundance of multiple mechanisms of resistance, including multiple cuticular protein and cytochrome p450 transcripts.


Arthropod Management Tests | 2012

USE OF SYSTEMIC INSECTICIDES TO CONTROL COLORADO POTATO BEETLE AND POTATO LEAFHOPPER, 2011

Russell L. Groves; Scott Chapman; David M. Lowenstein; Anders S. Huseth; Carol L. Groves


Plant Disease | 2018

Validating Sclerotinia sclerotiorum Apothecial Models to Predict Sclerotinia Stem Rot in Soybean (Glycine max) Fields

Jaime Willbur; Mamadou L. Fall; Adam M. Byrne; Scott Chapman; Megan McCaghey; Brian D. Mueller; Roger Schmidt; Martin I. Chilvers; Daren S. Mueller; Mehdi Kabbage; Loren J. Giesler; Shawn P. Conley; Damon L. Smith


Arthropod Management Tests | 2012

EVALUATION OF IN-FURROW TREATMENTS FOR CONTROL OF EUROPEAN CORN BORER IN SNAP BEAN, 2012

Russell L. Groves; Scott Chapman; Anders S. Huseth; Carol L. Groves


Arthropod Management Tests | 2011

EVALUATION OF FOLIAR INSECTICIDES FOR THE CONTROL OF ONION THRIPS IN DRY-BULB ONION, 2012

Russell L. Groves; Scott Chapman; Anders S. Huseth; Carol L. Groves; Kenneth E. Frost


Arthropod Management Tests | 2014

FULL SEASON INSECTICIDE MANAGEMENT PROGRAMS FOR THE CONTROL OF COLORADO POTATO BEETLE IN WISCONSIN POTATO, 2013

Russell L. Groves; Scott Chapman; Anders S. Huseth; Linda K. Crubaugh; Kenneth E. Frost

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Russell L. Groves

University of Wisconsin-Madison

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Anders S. Huseth

University of Wisconsin-Madison

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Carol L. Groves

University of Wisconsin-Madison

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Damon L. Smith

University of Wisconsin-Madison

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David M. Lowenstein

University of Wisconsin-Madison

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Jaime Willbur

University of Wisconsin-Madison

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Kenneth E. Frost

University of Wisconsin-Madison

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Megan McCaghey

University of Wisconsin-Madison

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Mehdi Kabbage

University of Wisconsin-Madison

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Adam M. Byrne

Michigan State University

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