1
|
Reich J, McLaren D, Kim YM, Wally O, Yevtushenko D, Hamelin R, Balasubramanian P, Chatterton S. Occurrence of Ascospores and White Mold Caused by Sclerotinia sclerotiorum in Dry Bean Fields in Alberta, Canada. PLANT DISEASE 2023; 107:3754-3762. [PMID: 37368443 DOI: 10.1094/pdis-11-22-2529-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
White mold caused by the fungal pathogen Sclerotinia sclerotiorum (Lib.) de Bary is one of the most important biological constraints to dry bean (Phaseolus vulgaris L.) production in Canada. Disease forecasting is one tool that could help growers manage the disease while reducing fungicide use. However, predicting white mold epidemics has remained difficult due to their sporadic occurrence. In this study, over the course of four growing seasons (2018 to 2021), we surveyed dry bean fields in Alberta and collected daily in-field weather data and daily in-field ascospore counts. White mold levels were variable and generally high in all years, confirming that the disease is ubiquitous and a constant threat to dry bean production. Ascospores were present throughout the growing season, and mean ascospore levels varied by field, month, and year. Models based on in-field weather and ascospore levels were not highly predictive of final disease incidence in a field, suggesting that environment and pathogen presence were not limiting factors to disease development. Rather, significant effects of market class on disease were found, with pinto beans, on average, having the highest disease incidence (33%) followed by great northern (15%), black (10%), red (6%), and yellow (5%). When incidence of these market classes was modeled separately, different environmental variables were important in each model; however, average wind speed was a significant variable in all models. Taken together, these findings suggest that white mold management in dry bean should focus on fungicide use, plant genetics, irrigation management, and other agronomic factors.
Collapse
Affiliation(s)
- Jonathan Reich
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1, Canada
- Faculty of Forestry, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Debra McLaren
- Brandon Research and Development Centre, Agriculture and Agri-Food Canada, Brandon, MB R7A 5Y3, Canada
| | - Yong Min Kim
- Brandon Research and Development Centre, Agriculture and Agri-Food Canada, Brandon, MB R7A 5Y3, Canada
| | - Owen Wally
- Harrow Research and Development Centre, Agriculture and Agri-Food Canada, Harrow, OT N0R 1G0, Canada
| | | | - Richard Hamelin
- Faculty of Forestry, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Parthiba Balasubramanian
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1, Canada
| | - Syama Chatterton
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1, Canada
| |
Collapse
|
2
|
Webster RW, Mueller BD, Conley SP, Smith DL. Integration of Soybean ( Glycine max) Resistance Levels to Sclerotinia Stem Rot into Predictive Sclerotinia sclerotiorum Apothecial Models. PLANT DISEASE 2023; 107:2763-2768. [PMID: 36724034 DOI: 10.1094/pdis-12-22-2875-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Sclerotinia stem rot (SSR) is a major disease of soybean across the Upper Midwest region of the United States. Management of this disease has relied on fungicide applications, but due to the environmental conditions necessary for SSR to develop, many of these applications are unnecessary. To mitigate this, predictive models have been developed using localized weather data for predicting the formation of Sclerotinia sclerotiorum apothecia, the inoculum source of SSR, and these models were integrated into a decision support system called Sporecaster. However, these models do not account for the soybean resistance levels to SSR. In this study, fungicide trials were performed across seven site-years in Wisconsin between 2020 and 2022 examining fungicide applications applied at one of three action thresholds (low, moderate, and high) following Sporecaster recommendations in combination with four soybean varieties representing three SSR resistance levels (susceptible, moderately resistant, and resistant). From these trials, the low and moderate action thresholds resulted in similarly low disease severity index (DIX) levels comparable to the standard across all varieties. However, the low action threshold was most accurate for predicting SSR development in the susceptible variety, and the high action threshold was most accurate for predicting SSR development for the three resistant varieties. Both the susceptible soybean and a moderately resistant line yielded similarly high results. Additionally, the use of all fungicide applications led to similar partial profits at grain sale prices of either $0.44 or $0.55 kg-1. Overall, this study uncovered relationships between soybean resistance levels to SSR and Sporecaster, allowing for improved recommendations for fungicide applications.
Collapse
Affiliation(s)
- Richard W Webster
- Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI 53706
| | - Brian D Mueller
- Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI 53706
| | - Shawn P Conley
- Department of Agronomy, University of Wisconsin-Madison, Madison, WI 53706
| | - Damon L Smith
- Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI 53706
| |
Collapse
|
3
|
Nieto-Lopez EH, Miorini TJJ, Wulkop-Gil CA, I Chilvers M, Giesler LJ, Jackson-Ziems TA, Kabbage M, Mueller DS, Smith DL, Tovar-Pedraza JM, Willbur JF, Everhart SE. Fungicide Sensitivity of Sclerotinia sclerotiorum from U.S. Soybean and Dry Bean, Compared to Different Regions and Climates. PLANT DISEASE 2023; 107:2395-2406. [PMID: 36691269 DOI: 10.1094/pdis-07-22-1707-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Fungicide use is integral to reduce yield loss from Sclerotinia sclerotiorum on dry bean and soybean. Increasing fungicide use against this fungus may lead to resistance to the most common fungicides. Resistance has been reported in Brazil (Glycine max) and China (Brassica napus subsp. napus), however, few studies have investigated fungicide sensitivity of S. sclerotiorum in the United States. This work was conducted to determine if there was a difference in fungicide sensitivity of S. sclerotiorum isolates in the United States from: (i) dry bean versus soybean and (ii) fields with different frequencies of fungicide application. We further hypothesized that isolates with fungicide applications of a single active ingredient from tropical Brazil and subtropical Mexico were less sensitive than temperate U.S. isolates due to different management practices and climates. The EC50(D) fungicide sensitivity of 512 S. sclerotiorum isolates from the United States (443), Brazil (36), and Mexico (33) was determined using a discriminatory concentration (DC) previously identified for tetraconazole (2.0 ppm; EC50(D) range of 0.197 to 2.27 ppm), boscalid (0.2; 0.042 to 0.222), picoxystrobin (0.01; 0.006 to 0.027), and thiophanate-methyl, which had a qualitative DC of 10 ppm. Among the 10 least sensitive isolates to boscalid and picoxystrobin, 2 presented mutations known to confer resistance in the SdhB (qualitative) and SdhC (quantitative) genes; however, no strong resistance was found. This study established novel DCs that can be used for further resistance monitoring and baseline sensitivity of S. sclerotiorum to tetraconazole worldwide plus baseline sensitivity to boscalid in the United States.
Collapse
Affiliation(s)
- Edgar H Nieto-Lopez
- Department of Plant Pathology, University of Nebraska, Lincoln, NE 68583, U.S.A
| | | | - Cristian A Wulkop-Gil
- Department of Plant Pathology, University of Nebraska, Lincoln, NE 68583, U.S.A
- Department of Molecular Medicine, Scripps Research Institute, La Jolla, CA 92037, U.S.A
| | - Martin I Chilvers
- Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI 48824, U.S.A
| | - Loren J Giesler
- Department of Plant Pathology, University of Nebraska, Lincoln, NE 68583, U.S.A
| | | | - Mehdi Kabbage
- Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI 53706, U.S.A
| | - Daren S Mueller
- Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA 50011, U.S.A
| | - Damon L Smith
- Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI 53706, U.S.A
| | - Juan Manuel Tovar-Pedraza
- Coordinación Regional Culiacán, Centro de Investigación en Alimentación y Desarrollo, Culiacán, Sinaloa 80110, Mexico
| | - Jaime F Willbur
- Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI 53706, U.S.A
| | - Sydney E Everhart
- Department of Plant Pathology, University of Nebraska, Lincoln, NE 68583, U.S.A
- Department of Plant Science and Landscape Architecture, University of Connecticut, Storrs, CT 06269-4067, U.S.A
| |
Collapse
|
4
|
Brown MT, Mueller DS, Kandel YR, Telenko DEP. Influence of Integrated Management Strategies on Soybean Sudden Death Syndrome (SDS) Root Infection, Foliar Symptoms, Yield and Net Returns. Pathogens 2023; 12:913. [PMID: 37513760 PMCID: PMC10385733 DOI: 10.3390/pathogens12070913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/26/2023] [Accepted: 07/03/2023] [Indexed: 07/30/2023] Open
Abstract
Three soybean field trials were conducted in Indiana to evaluate the integration of seed treatment, cultivar selection, and seeding rate on sudden death syndrome (SDS) root rot, pathogen load in the root, foliar symptoms, yield, and net return. Two soybean cultivars, one moderately resistant and one susceptible to SDS, were planted at three seeding rates (272,277 seeds/ha, 346,535 seeds/ha, and 420,792 seeds/ha). Fluopyram and pydiflumetofen seed treatments were applied to both cultivars, and the cultivars were then compared with a control. Low foliar SDS disease pressure was observed in our study. Seed treatment with either fluopyram or pydiflumetofen and the use of a moderately resistant cultivar decreased Fusarium virguliforme DNA concentration in the root relative to the control and the use of a susceptible cultivar. Fluopyram significantly reduced visual root rot severity by 8.8% and increased yield by 105 kg/ha relative to the control but was not different from pydiflumetofen. However, pydiflumetofen performed the same as the control with respect to root rot severity and yield. Findings from this study support the use of a seed treatment to protect roots from infection and the use of a moderately resistant cultivar planted at a seeding rate of 346,535 seeds/ha to protect yield and maximize net returns when a field has low foliar SDS pressure.
Collapse
Affiliation(s)
- Mariama T Brown
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, USA
| | - Daren S Mueller
- Department of Plant Pathology, Entomology, and Microbiology, Iowa State University, Ames, IA 50011, USA
| | - Yuba R Kandel
- 5Metis Inc., Research Triangle Park, Durham, NC 27709, USA
| | - Darcy E P Telenko
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, USA
| |
Collapse
|