Cropping System Diversification Reduces Severity and Incidence of Soybean Sudden Death Syndrome Caused by <i>Fusarium virguliforme</i>

Leandro, Leonor F.S.; Eggenberger, Sharon K.; Chen, C.; Williams, J. F.; Beattie, G. A. C.; Liebman, Matt

doi:10.1094/pdis-11-16-1660-re

Cited by 41 publications

(30 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A recent study conducted at the same site suggests that the long-term, diversified crop rotation systems have a significant effect on SDS foliar severity and incidence [43]. Because rotation-specific differences in SDS incidence have been documented since 2010, we included rotation information in the SDS detection model along with remote sensing variables.…”

Section: Discussionmentioning

confidence: 99%

“…Each block consists of nine main plots (18 m × 84 m), with two subplots (9 m × 84 m) within each main plot ( Figure 2). Three crop rotation systems (2-year, 3-year, and 4-year) were applied to the main plots [43]. The 2-year cropping system was planted with corn and soybean in alternate years and managed with extension-recommended practices and applications of synthetic fertilizers.…”

Section: Study Sitementioning

confidence: 99%

“…Greater access to low-cost, multispectral, high-resolution satellite imagery provides opportunities for scientists to combine these large datasets with machine learning technologies [27] to devise reliable automated systems for detecting and mapping plant diseases. These systems could support grower decisions for site-specific management applications, such as planting resistant soybean varieties and using diverse crop rotations [43] in infested areas. They have the potential to significantly reduce harmful chemical seed treatment applications and the resulting economic expense and ecological impact on soybean production systems.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the Potential of High-Resolution Satellite Imagery for the Detection of Soybean Sudden Death Syndrome

et al. 2020

View full text Add to dashboard Cite

Sudden death syndrome (SDS) is one of the major yield-limiting soybean diseases in the Midwestern United States. Effective management for SDS requires accurate detection in soybean fields. Since traditional scouting methods are time-consuming, labor-intensive, and often destructive, alternative methods to monitor SDS in large soybean fields are needed. This study explores the potential of using high-resolution (3 m) PlanetScope satellite imagery for detection of SDS using the random forest classification algorithm. Image data from blue, green, red, and near-infrared (NIR) spectral bands, the calculated normalized difference vegetation index (NDVI), and crop rotation information were used to detect healthy and SDS-infected quadrats in a soybean field experiment with different rotation treatments, located in Boone County, Iowa. Datasets collected during the 2016, 2017, and 2018 soybean growing seasons were analyzed. The results indicate that spectral features, when combined with ground-based information, can detect areas in soybean plots that are at risk for disease, even before foliar symptoms develop. The classification of healthy and diseased soybean quadrats was >75% accurate and the area under the receiver operating characteristic curve (AUROC) was >70%. Our results indicate that high-resolution satellite imagery and random forest analyses have the potential to detect SDS in soybean fields, and that this approach may facilitate large-scale monitoring of SDS (and possibly other economically important soybean diseases). It may also be useful for guiding recommendations for site-specific management in current and future seasons.The pathogen starts infecting roots during early soybean growth stages [9,10] and causes root rot and poor root development [3]. Root infections are favored by cool, wet soil environments [11,12]. Foliar symptoms of interveinal chlorosis (yellowing between leaf veins) and necrosis (tissue browning following cell death) typically appear during reproductive stages [13] and cause premature defoliation and senescence under severe disease pressure [14]. The initial foliar symptoms show only as yellow traces on lower leaves, which makes the disease difficult to detect at early stages. Abundant soil moisture favors SDS foliar symptom expression [12,15], whereas infected plants may not develop foliar symptoms under dry field conditions. Disease distribution within a field is limited by the spatial distribution of the pathogen at the beginning of the growing season.Scouting for SDS foliar symptoms in the field is made difficult by the relatively late onset of visible foliar symptom expression, which often occurs after the soybean canopy has closed, and by the patchy distribution of SDS in soybean fields. Scouting for symptomatic plants is time-consuming, and confirmation of Fv infection requires destructive sampling [16]. Therefore, a more effective method for monitoring and quantifying the distribution of SDS in the field is needed.Early detection of plant diseases through remote sensing can be di...

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Potential of High-Resolution Satellite Imagery for the Detection of Soybean Sudden Death Syndrome

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Due to the significant economic impact of SDS in soybean production, different management strategies such as utilizing partially resistant varieties, crop rotation, tillage and planting date have been investigated to manage SDS ( Wrather et al, 1995 ; Leandro et al, 2018 ). Soybean seed treatments have been used routinely to protect from early infection by root rot pathogens but most seed treatment fungicides are not effective against SDS ( Weems et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Fluopyram Sensitivity and Functional Characterization of SdhB in the Fusarium solani Species Complex Causing Soybean Sudden Death Syndrome

et al. 2018

View full text Add to dashboard Cite

The succinate dehydrogenase inhibitor (SDHI) fungicide, fluopyram, is used as a soybean seed treatment to manage Fusarium virguliforme, the casual agent of sudden death syndrome (SDS). More recently, other species within clade 2 of the Fusarium solani species, F. tucumaniae in South America and F. brasiliense in America and Africa, have been recognized as additional agents capable of causing SDS. To determine if fluopyram could be used for management of SDS caused by these species, in vitro sensitivity tests of the three Fusarium species to fluopyram were conducted. The mean EC50 values of F. brasiliense and F. virguliforme strains to fluopyram were 1.96 and 2.21 μg ml-1, respectively, but interestingly F. tucumaniae strains were highly sensitive (mean EC50 = 0.25 μg ml-1) to fluopyram compared to strains of the other two species. A sequence analysis of Sdh genes of Fusarium strains revealed that the F. tucumaniae strains contain an arginine at codon 277 in the SdhB gene instead of a glycine as in other Fusarium species. Replacement of glycine to arginine in SdhB-277 in a F. virguliforme wild-type strain Mont-1 through genetic transformation resulted in increased sensitivity to two SDHI fungicides, fluopyram and boscalid. Similar to a F. tucumaniae strain, the Mont-1 (SdhBG277R) mutant caused less SDS and root rot disease than Mont-1 on soybean seedlings with the fluopyram seed treatment. Our study suggests the amino acid difference in the SdhB in F. tucumaniae results in fluopyram being efficacious if used as a seed treatment for management of F. tucumaniae, which is the most abundant SDS causing species in South America. The establishment of baseline sensitivity of Fusarium species to fluopyram will contribute to effective strategies for managing Fusarium diseases in soybean and other pathosystems such as dry bean.

show abstract

“…Breeding efforts have improved soybean tolerance to foliar symptom development, but no completely resistant lines exist to date [16]. Successful management of these pathogens can be achieved through long-term crop rotations and with seed treatments containing the fungicide fluopyram [17, 18], but long-term crop rotations are not widely adopted by growers, and different members of the Fusarium solani species complex have shown different sensitivities to fluopyram [19]. Therefore, improved genetic resistance is desired, but requires a deeper understanding of the genetic mechanisms of SDS development caused by each pathogen.…”

Section: Introductionmentioning

confidence: 99%

A protoplast generation and transformation method for soybean sudden death syndrome causal agents Fusarium virguliforme and F. brasiliense

Roth

Chilvers

2019

Fungal Biol Biotechnol

View full text Add to dashboard Cite

Background Soybean production around the globe faces significant annual yield losses due to pests and diseases. One of the most significant causes of soybean yield loss annually in the U.S. is sudden death syndrome (SDS), caused by soil-borne fungi in the Fusarium solani species complex. Two of these species, F. virguliforme and F. brasiliense , have been discovered in the U.S. The genetic mechanisms that these pathogens employ to induce root rot and SDS are largely unknown. Previous methods describing F. virguliforme protoplast generation and transformation have been used to study gene function, but these methods lack important details and controls. In addition, no reports of protoplast generation and genetic transformation have been made for F. brasiliense . Results We developed a new protocol for developing fungal protoplasts in these Fusarium species and test the protoplasts for the ability to take up foreign DNA. We show that wild-type strains of F. virguliforme and F. brasiliense are sensitive to the antibiotics hygromycin and nourseothricin, but strains transformed with resistance genes displayed resistance to these antibiotics. In addition, integration of fluorescent protein reporter genes demonstrates that the foreign DNA is expressed and results in a functional protein, providing fluorescence to both pathogens. Conclusions This protocol provides significant details for reproducibly producing protoplasts and transforming F. virguliforme and F. brasiliense . The protocol can be used to develop high quality protoplasts for further investigations into genetic mechanisms of growth and pathogenicity of F. virguliforme and F. brasiliense . Fluorescent strains developed in this study can be used to investigate temporal colonization and potential host preferences of these species. Electronic supplementary material The online version of this article (10.1186/s40694-019-0070-0) contains supplementary material, which is available to authorized users.

show abstract

Cropping System Diversification Reduces Severity and Incidence of Soybean Sudden Death Syndrome Caused by Fusarium virguliforme

Cited by 41 publications

References 72 publications

Exploring the Potential of High-Resolution Satellite Imagery for the Detection of Soybean Sudden Death Syndrome

Exploring the Potential of High-Resolution Satellite Imagery for the Detection of Soybean Sudden Death Syndrome

Fluopyram Sensitivity and Functional Characterization of SdhB in the Fusarium solani Species Complex Causing Soybean Sudden Death Syndrome

A protoplast generation and transformation method for soybean sudden death syndrome causal agents Fusarium virguliforme and F. brasiliense

Contact Info

Product

Resources

About