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Evaluation of Integrated Management Strategies on Soybean Sudden Death Syndrome (SDS) Root infection, Foliar Symp-toms, Yield and Net Returns in Indiana

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09 May 2023

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09 May 2023

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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 infection, 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 were compared to a control. Low foliar SDS disease pressure was observed in our study. Seed treatment of either fluopyram or pydiflumetofen, and use of a moderately resistant cultivar decreased root infection relative to the control and the use of a susceptible cultivar. Fluopyram significantly reduced 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 on net returns when a field has low foliar SDS pressure.
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Subject: Biology and Life Sciences  -   Agricultural Science and Agronomy

1. Introduction

Sudden death syndrome (SDS) is one of the top yield-reducing diseases of soybean [1,2,3]. This disease can cause as much as 100% yield loss, depending on environmental conditions, the age of plants at the time of infection, and the severity of the disease [4,5,6]. Fusarium virguliforme, a soilborne fungus, is the main causal agent of SDS in North America [7]. SDS was first observed in 1971 in Arkansas by H. J. Walters [8], and has now become a widespread disease that is found in all the main soybean production zones of the U.S. [7]. SDS is more prominent under favorable environmental conditions such as a cool and moist spring [9]. Early in the growing season, F. virguliforme infects soybean roots, causing root and crown rot, however, development of foliar symptoms usually begins when the plant enters beginning pod (R3) and full pod (R4) reproductive stages [10,11,12]. Initially, foliar symptoms appear as interveinal chlorosis, but if the cultivar is susceptible to SDS and soil moisture is favorable, then these symptoms may progress to interveinal necrosis and cause premature defoliation [13,14]. Severe SDS infection can also lead to pod and seed abortion and whole-plant death [4,6].
There is no single method that can completely manage SDS disease, and so effective management of SDS is achieved through an integrated approach that combines methods that effectively complement each other [4,15]. The adoption of resistant cultivars is a common strategy [16]. Currently, there are no cultivars that are completely resistant to SDS and the use of a partially resistant cultivar is encouraged [17,18,19,20,21]. However, partial resistance can potentially be overcome by high inoculum densities [19,22,23]. The implementation of cultural practices such as strategic or occasional tillage, crop rotation, water drainage and adjustment of planting date can reduce SDS disease inoculum [11,24,25,26]. In addition, seed treatment can inhibit early F. virguliforme infection, which can prevent SDS disease development later in the season [27]. These SDS management strategies have had mixed results [14,15,24,26,27,28,29,30,31,32,33,34], and improvement in their efficiency is needed.
Fluopyram (ILEVO, BASF, Research Triangle Park, NC) and pydiflumetofen (Saltro, Syngenta, Research Triangle Park, NC) are registered as fungicide seed treatments for SDS management. Both seed treatments belong to the succinate dehydrogenase inhibitors (SDHI, Fungicide Resistance Action Committee (FRAC) 7 group) [35]. Fluopyram has been available since 2014 and is effective in reducing SDS root rot and foliar symptoms [14,15,36]. However, pydiflumetofen was only recently introduced in 2020 and there is limited published data on its effect on SDS. In addition to the use of fungicide seed treatments, another strategy that can be applied to manage disease is the use of optimum seeding rates that can reduce the severity of disease [37,38,39,40]. However, the combination of different seeding rates and seed treatment on F. virguliforme infection of the root are not well known. The objective of this study was to assess the effect of integrated management strategies that includes cultivar selection, seed treatment and seeding rate on F. virguliforme root infection, SDS root rot and foliar symptoms, and yield in Indiana. Our goal was to determine the economic impact of these integrated management strategies in order to provide growers in Indiana with a cost-effective management program for SDS.

2. Materials and Methods

2.1. Field Experiments and Treatments

Field experiments were established in Wanatah, IN at the Pinney Purdue Agricultural Center (PPAC) in 2019 and 2020, and in West Lafayette, IN at the Agronomy Center for Research and Education (ACRE) in 2020. All of the three field sites had a history of SDS. The experimental design was a randomized split-plot arrangement with main plot seeding rate and subplot of factorial cultivars by fungicide seed treatments with four replications. Field trial information on soybean cultivar, planting date, previous crop, F. virguliforme inoculation, irrigation, presence of SDS foliar symptoms, and harvest date are found in Table 1. Plots were 3.0 m wide (10-ft) and 9.1 m long (30-ft), consisted of four rows, with the two center rows used for SDS foliar symptom evaluation and yield, and the outer two rows used for destructive root sampling. An SDS moderately resistant and an SDS susceptible soybean cultivar were planted in 76.2 cm (30-in.) row spacing at seeding rates of 272,277 seeds/ha, 346,535 seeds/ha, and 420,792 seeds/ha. Pioneer 24A99X was used as the resistant cultivar and P22T24X as the susceptible cultivar in 2019, and P25A27X and P24T76E were used as resistant and susceptible cultivars, respectively in 2020. Seed treatments of fluopyram (ILeVO, Bayer Crop Science) applied at 0.15 mg ai/seed and pydiflumetofen (Saltro, Syngenta Crop Protection, LLC) applied at 0.075 mg ai/seed were applied to both cultivars and were compared to a control for SDS. A base seed treatment of metalaxyl (Allegiance Fl at 4.0 g ai/100 kg seed, Bayer Crop Science Research Triangle Park, NC), pyraclostrobin (Stamina at 7.5 g ai/100 kg seed, BASF), fluxapyroxad (Systiva XS Xemium Brand at 5.0 g ai/100 kg seed, BASF), and clothianidin (Poncho 600 at 0.11 mg ai/seed) was added to all treatments in 2020 to minimize non-target pathogen and insect pest pressure. These active ingredients were previously known to have no effect on SDS [14,15,23,27]. Plots were artificially infested with F. virguliforme inoculum following the procedure described by de Farias Neto et al. [41]. Inoculum was prepared from local Indiana isolates (INMOG4) of F. virguliforme, which was used to colonize sterilized sorghum. Infested sorghum at 4.1 g/m was placed in-furrow at planting. Irrigation was applied at the Wanatah location in both years to encourage SDS development, the field was overhead irrigated weekly at 25 mm (1 in.) unless weekly rainfall was 1 in. or higher (Table 1).

2.2. Disease and Yield Data Collection

Root rot severity, foliar SDS incidence and severity, and yield data were recorded from each research plot. Plant population was recorded to validate the different seeding rates used, but it was not evaluated as a response variable. Root rot rating was assessed at the full pod (R4) growth stage. Ten soybean roots were arbitrarily selected and dug from the outside rows (non-yield rows) of each plot, washed, and root rot severity was visually assessed as a percentage (0-100%) of dark discoloration on roots [42]. SDS was rated for foliar disease incidence (DI) and disease severity (DS) in the middle two rows of each plot at full seed to beginning maturity (R6 to R7) growth stages. DI refers to the percentage of plants with SDS foliar disease symptoms, and disease severity (DS) was rated using a 1-9 scale where 1 refers to low foliar disease pressure and 9 refers to premature death of the plant [43]. The foliar SDS disease index (FDX) was then calculated using the equation FDX= DI x DS/9. The two center rows of each plot were harvested with a Kincaid 8XP plot combine, and yields were calculated and adjusted to 13% moisture prior to analysis.

2.3. Quantification of Fusarium virguliforme DNA in Roots

After root rot rating, the roots were air dried in a drying room at 32°C for one week. The ten dried roots that were collected from each plot were ground to a fine powder using an Eberbach cutting mill (E3703) with 0.50-mm sieve size (Eberbach corporation, Belleville MI). To avoid cross-contamination between plot samples the grinder was sprayed with 70% ethanol and wiped dry with paper towel. DNA was extracted from 100 mg of ground root tissue from each plot sample using a DNeasy Plant Mini Kit (Qiagen, Germantown, MD) according to the manufacturer’s recommendations. DNA quantity and quality were determined using a Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific, Wilmington, DE) and normalized to 10 ng/μL. Amplifications were performed on CFX96 Touch™ Real-Time PCR Detection System (Bio-Rad Laboratories, Inc., Hercules, CA). The PCR mix and thermal conditions were conducted as described by Wang et al. [44]. Real-time PCR was conducted in a 96-well plate with three technical replications of each unknown DNA sample from each plot. Three non-template water controls were included in each plate along with 18 samples of F. virguliforme DNA serial dilutions (10-fold from 5 ng to 50 fg) for the standard curve. The standard curve was used to determine F. virguliforme DNA concentration in each unknown sample. Quantities of F. virguliforme DNA were calculated in picograms per 20 ng total DNA.

2.4. Partial Profit Analysis

To determine the profitability of the integrated management strategies for SDS a partial profit analysis was carried out using the equation = (yield x grain sale price) – (seed cost + seed treatment cost). A soybean grain sale price of $0.37 kg -1 ($10.15 bu-1) was used, which was the average price received for soybean in the U.S. from 2019 to 2021 according to the USDA National Agricultural Statistics Service [45,46]. The grain sale price was multiplied by yield to determine a predicted income. The cost of seed was approximated to be $64 unit -1 (140,000 seeds) according to regional seed costs in 2021 obtained from a local Indiana seed company. Based on this approximation, a final seed cost was determined for all seeding rates examined in this study. According to local crop protectant dealer, the cost of applying fluopyram seed treatment was approximated at $13 unit -1 (140,000 seeds) and the cost of pydiflumetofen was approximated at $14 unit -1 (140,000 seeds). All other associated cost were assumed to be equal across all treatments and were excluded from this analysis.

2.5. Data Analysis

All data were analyzed in SAS (version 9.4; SAS Institute, Inc., Cary, NC, U.S.A.). A generalized linear mixed model analysis of variance was performed using PROC GLIMMIX. Cultivars, seed treatments, seeding rates and their interactions were treated as fixed factors and location and replication were treated as random factors. For root rot severity, grain yield, and net returns a normal distribution was used along with Kenward-Rogers degrees of freedom. Least squares means (lsmeans) of the treatments were computed and compared (α = 0.05). All pairwise differences among lsmeans were compared only if the F test was significant (P ≤ 0.05) [47]. Foliar Disease Index (FDX) and F. virguliforme DNA concentration values were log transformed prior to analysis to normalize data; back-transformed means are presented.

3. Results and Discussion

3.1. Effect of Cultivar Selection, Seed Treatment, and Seeding Rate on Root Rot and F. virguliforme Root Infection

There were no significant interactions among cultivars, seed treatments and seeding rates with respect to root rot severity (Table 2), therefore main effects were examined. Cultivar selection significantly influenced root rot symptom development (P = 0.0021) (Table 2). The use of a susceptible cultivar significantly reduced root rot severity by 7.8% when compared to the use of a resistant cultivar (Table 3). This result is similar to what has been reported previously, in which the moderately resistant cultivar had more root rot than the moderately susceptible cultivar in one research location [15]. A recent study also found that the moderately resistant cultivar had greater root rot than the susceptible cultivar in one study year [48]. These results may be explained by the quantitative trait loci (QTLs) that govern SDS resistance, which adds to root rot or foliar resistance singly [49,50]. Foliar symptoms are the main reason for yield loss in SDS-susceptible soybean lines [51] and so, phenotypic rating that is used for SDS resistance relies mostly on the basis of foliar symptoms rather than root rot symptoms [52].
Root rot severity was also significantly influenced by seed treatments (P = 0.0072) (Table 2). The fluopyram seed treatment significantly reduced root rot severity by 8.8% when compared with the control, but was not significantly different from the pydiflumetofen seed treatment. However, the pydiflumetofen seed treatment was not significantly different from the control in respect to root rot severity (Table 3). Pydiflumetofen seed treatment was only recently marketed for SDS management and so, there is limited published data on its efficacy for root rot reduction. Previous studies have reported that fluopyram seed treatment was effective for reducing root rot severity [14,15,23,36], while a recent study has reported that both fluopyram and pydiflumetofen were most effective for managing SDS [48].
Concentration of F. virguliforme DNA in soybean roots was used as a measure of SDS root infection. There were no significant interactions among cultivars, seed treatments and seeding rates with respect to the concentration of F. virguliforme DNA in soybean roots (Table 2), therefore main effects were examined. F. virguliforme root infection was significantly influenced by cultivar (P = 0.0092) (Table 2). Our results suggest that using a moderately resistant cultivar could significantly decrease F. virguliforme root infection by 37.5% relative to the use of a susceptible cultivar (Table 3). Similarly, Wang et al. [53] found that at 35 days after planting there was a significantly higher F. virguliforme infection coefficient for susceptible cultivars relative to the moderately resistant cultivars. There is no cultivar that is completely resistant for SDS disease. Nevertheless, the use of a moderately resistant cultivar can be an effective tactic and should be the primary means for managing SDS disease [54].
F. virguliforme root infection was also significantly reduced by the use of seed treatments (P = <0.0001) (Table 2). Fluopyram and pydiflumetofen seed treatments significantly reduced root infection by 75% and 64% relative to the control, respectively (Table 3). In a previous study, the fluopyram seed treatment was also reported to be effective in reducing F. virguliforme root infection [36]. Seed treatment protects the seeds from early infection, which then limits the development of SDS symptoms later in the growing season [27]. Therefore, seed treatments should be included as part of an effective management strategy for SDS disease.
Different seeding rates can impact disease development, yield, and net return of a crop [38,39,40,55,56,57,58,59]. However, there is limited published data on the effects of different seeding rates on SDS development. From our trials in Indiana, seeding rates did not have a significant effect on SDS root rot severity (P = 0.0563) or F. virguliforme root infection (P = 0.8363) (Table 2). Similarly, Kandel et al. [60] found that seeding rate did not have an effect on stem diseases of soybean. In contrast, a greater incidence of Sclerotinia stem rot, tomato spotted wilt and peanut stem rot were observed under higher seeding rates [39,40,61].

3.2. Effect of Cultivar Selection, Seed Treatment, and Seeding Rate on Foliar Symptoms

In 2019 and 2020, SDS foliar symptoms were observed at the Wanatah location, but at low levels <1.0 SDS foliar disease index (FDX). No SDS foliar symptoms were observed at the West Lafayette location in 2020, and no other foliar or stem disease were noted in any of the experiments. There was no significant main effect of cultivar selection, seeding rate or seed treatment for SDS FDX. However, there was a significant interaction between cultivar and seeding rate for FDX (P = 0.0378) (Table 2). A moderately resistant cultivar planted at 272,277 seeds/ha or 346,535 seeds/ha significantly reduced FDX when compared to a susceptible cultivar planted at 346,535 seeds/ha, but did not significantly reduced FDX when compared to a susceptible cultivar planted at 272,277 seeds/ha or 420,792 seeds/ha or a moderately resistant cultivar planted at 420,792 seeds/ha (data not shown).

3.3. Effect of Cultivar Selection, Seed Treatment and Seeding Rate on Grain Yield and Partial Profit

Grain yield was significantly impacted by seed treatment (P = 0.0435) (Table 4). The fluopyram seed treatment produced the most yield with a 105 kg ha-1 significant increase relative to the control, but was not significantly different from pydiflumetofen. However, the pydiflumetofen seed treatment was not statistically different from the control for grain yield (Table 4). In addition, there was a significant two-way interaction effect between cultivar and seeding rate for grain yield (P = 0.0484) (Table 2). A moderately resistant cultivar planted at a seeding rate of 346,535 seeds/ha significantly increased yield over a susceptible cultivar that is planted at 272,277 or 346,535 seeds/ha. However, it was not statistically different in yield when compared to a susceptible cultivar planted at a seeding rate of 420,792 seeds/ha (Table 4). This result suggests that when planting a susceptible cultivar, a seeding rate of 420,792 seeds/ha should be considered to recover the same amount of grain yield as a moderately resistant cultivar planted at a seeding rate of 346,535 seeds/ha.
Net returns were also significantly impacted by the interaction effect of cultivar and seeding rate (P = 0.0484) (Table 4). A moderately resistant cultivar planted at 346,535 seeds/ha gave a significant increase in net returns when compared to a susceptible cultivar planted at 272,277 or 346,535 seeds/ha, but was not statistically different from a moderately resistant cultivar planted at a seeding rate of 272,277 seeds/ha or a susceptible cultivar planted at 420,792 seeds/ha. Although they produced similar grain yield, a moderately resistant cultivar planted at 346,535 seeds/ha did have a significant increase in net returns when compared to a moderately resistant cultivar planted at 420,792 seeds/ha. This response in net returns is likely due to the increase in input cost of planting more seeds in a field with low foliar SDS disease pressure. In contrast, net returns were not significantly impacted by seed treatment (P = 0.1039) (Table 4), even though it did have an effect on grain yield. These results suggest that under low foliar SDS disease pressure, yield gain from a seed treatment may not be sufficient to cause an increase in net returns.

4. Conclusions

This study evaluates the effectiveness of pydiflumetofen and fluopyram seed treatments for SDS management as well as the effects of cultivars and different seeding rates on SDS development, yield and net returns using an integrated approach in Indiana. This work demonstrates that using a seed treatment that includes fluopyram or pydiflumetofen is important in protecting soybean roots from F. virguliforme infection. In a field with low foliar SDS disease pressure, the fluopyram seed treatment significantly reduced root rot severity and increased grain yield when compared to the control, but it was not significantly different from the pydiflumetofen seed treatment. However, the pydiflumetofen seed treatment performed the same when compared to the control for root rot severity and grain yield. In addition, our findings suggest that in low SDS disease environments a moderately resistant cultivar planted at a seeding rate of 346,535 seeds/ha should be considered for an increase in grain yield and subsequently increase in net returns. However, if planting a susceptible cultivar under these environments, then a seeding rate of 420,792 seeds/ha should be considered to increase grain yield and net returns. There is continued need to use an integrated management approach for SDS that includes resistance, seed treatment and optimum seeding rate. Therefore, future work should continue to evaluate new products or methods for effective SDS management using an integrated approach.

Author Contributions

Conceptualization, D.T., D.M. and Y.K.; methodology, D.T. and M.B.; validation, D.T. and M.B.; formal analysis, M. B.; investigation, M. B.; resources, D.T.; data curation, D.T.; writing—original draft preparation, M.B.; writing—review and editing, D.T., D.M., M.B., and Y.K.; visualization, M.B. and D.T.; supervision, D.T.; project administration, D.T.; funding acquisition, D.T., D.M. and Y.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partially funded by the Soybean Checkoff through the North Central Soybean Research Program (NCSRP).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

At the time of submission, the authors have not yet made this data publicly available. Data will be made publicly available at https://purr.purdue.edu/publications/4281/1 upon full acceptance of the manuscript.

Acknowledgments

The authors thank Sujoung Shim, Jeffrey Ravellette, and Steven Brand at Purdue University for assistance with field trial establishment and maintenance.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Allen, T.W.; Bradley, C.A.; Sisson, A.J.; Byamukama, E.; Chilvers, M.I.; Coker, C.M.; Collins, A.A.; Damicone, J.P.; Dorrance, A.E.; Dufault, N.S.; Esker, P.D.; Faske, T.R.; Giesler, L.J.; Grybauskas, A.P.; Hershman, D.E.; Hollier, C.A.; Isakeit, T.; Jardine, D.J.; Kemerait, R.C.; Kleczewski, N.M.; Koenning, S.R.; Kurle, J.E.; Malvick, D.K.; Markell, S.G.; Mehl, H.L.; Mueller, D.S.; Mueller, J.D.; Mulrooney, R.P.; Nelson, B.D.; Newman, M.A.; Osborne, L.; Overstreet, C.; Padgett, G.B.; Phipps, P.M.; Price, P.P.; Sikora, E.J.; Smith, D.L.; Spurlock, T.N.; Tande, C.A.; Tenuta, A.U.; Wise, K.A.; Wrather, J.A.; Young-Kelly, H. Soybean yield loss estimates due to diseases in the United States and Ontario, Canada, from 2010 to 2014. Plant Health Prog. 2017, 18, 19–27. [CrossRef]
  2. Bradley, C.A.; Allen, T.W.; Sisson, A.J.; Bergstrom, G.C.; Bissonnette, K.M.; Bond, J.; Byamukama, E.; Chilvers, M.I.; Collins, A.A.; Damicone, J.P.; Dorrance, A.E.; Dufault, N.S.; Esker, P.D.; Faske, T.R.; Fiorellino, N.; Giesler, L.J.; Hartman, G.L.; Hollier, C.A.; Isakeit, T.; Jackson-Ziems, T.A.; Jardine, D.J.; Kelly, H.M.; Kemerait, R.C.; Kleczewski, N.M.; Koehler, A.M.; Koenning, S.R.; Kratochvil, R.J.; Kurle, J.E.; Malvick, D.K.; Markell, S.G.; Mathew, F.; Mehl, H.L.; Mehl, K.; Mueller, D.S.; Mueller, J.D.; Nelson, B.D.; Overstreet, C.; Padgett, G.B.; Price, P.P.; Sikora, E.J.; Small, I.; Smith, D.L.; Spurlock, T.N.; Tande, C.A.; Telenko, D.E.P.; Tenuta, A.U.; Thiessen, L.D.; Warner, F.; Wise, K.A.; Wiebold, W.J. Soybean yield loss estimates due to diseases in the United States and Ontario, Canada from 2015 to 2019. Plant Health Prog. 2021, 22, 483–495. [CrossRef]
  3. Estimates of corn, soybean, and wheat yield losses due to diseases and insect pests. Crop Protection Network. 2021. Available online: https://loss.cropprotectionnetwork.org/ (accessed on 10 Dec 2021). [CrossRef]
  4. Hartman, G.L.; Chang, H.-X.; Leandro, L.F. Research advances and management of soybean sudden death syndrome. Crop Prot. 2015, 73, 60–66. [CrossRef]
  5. Kandel, Y.R.; Bradley, C.A.; Wise, K.A.; Chilvers, M.I.; Tenuta, A.U.; Davis, V.M.; Esker, P.D.; Smith, D.L.; Licht, M.A.; Mueller, D.S. Effect of glyphosate application on sudden death syndrome of glyphosate-resistant soybean under field conditions. Plant Dis. 2015, 99, 347-354. [CrossRef]
  6. Roy, K.W.; Rupe, J.C.; Hershman, D.E.; Abney, T.S. Sudden death syndrome of soybean. Plant Dis. 1997, 81, 1100–1111. [CrossRef]
  7. Aoki, T.; O’Donnell, K.; Homma, Y.; Lattanzi, A.R. Sudden-death syndrome of soybean is caused by two morphologically and phylogenetically distinct species within the Fusarium solani species complex— F. virguliforme in North America and F. tucumaniae in South America. Mycologia 2003, 95, 660–684. [CrossRef]
  8. Hirrel, M.C. Sudden death syndrome of soybean—A disease of unknown etiology. Phytopathology 1983, 73, 501-502.
  9. Gongora-Canul, C.C.; Leandro, L.F.S. Effect of soil temperature and plant age at time of inoculation on progress of root rot and foliar symptoms of soybean sudden death syndrome. Plant Dis. 2011, 95, 436–440. [CrossRef]
  10. Fehr, W.R.; Caviness, C.E.; Burmood, D.T.; Pennington, J.S. Stage of development descriptions for soybeans, Glycine max (L.) Merrill. Crop Sci. 1971, 11, 929. [CrossRef]
  11. Leandro, L.; Tatalovic, N.; Luckew, A. Soybean sudden death syndrome - advances in knowledge and disease management. CABI Reviews 2012, 1–14. [CrossRef]
  12. Roy, K.W. Fusarium solani on soybean roots: Nomenclature of the causal agent of sudden death syndrome and identity and relevance of F. solani form B. Plant Dis. 1997, 81, 259–266. [CrossRef]
  13. Kandel, Y.R.; Haudenshield, J.S.; Srour, A.Y.; Tariqul Islam, K.; Fakhoury, A.M.; Santos, P.; Wang, J.; Chilvers, M.I.; Hartman, G.L.; Malvick, D.K.; Floyd, C.M.; Mueller, D.S.; S Leandro, L.F. Multilaboratory comparison of quantitative PCR assays for detection and quantification of Fusarium virguliforme from soybean roots and soil. Phytopathology 2015, 105, 1601-1611. [CrossRef]
  14. Kandel, Y.R.; Wise, K.A.; Bradley, C.A.; Tenuta, A.U.; Mueller, D.S. Effect of planting date, seed treatment, and cultivar on plant population, sudden death syndrome, and yield of soybean. Plant Dis. 2016, 100, 1735–1743. [CrossRef]
  15. Kandel, Y.R.; Wise, K.A.; Bradley, C.A.; Chilvers, M.I.; Tenuta, A.U.; Mueller, D.S. Fungicide and cultivar effects on sudden death syndrome and yield of soybean. Plant Dis. 2016, 100, 1339-1350. [CrossRef]
  16. Ngaki, M.N.; Wang, B.; Sahu, B.B.; Srivastava, S.K.; Farooqi, M.S.; Kambakam, S.; Swaminathan, S.; Bhattacharyya, M.K. Transcriptomic study of the soybean-Fusarium virguliforme interaction revealed a novel ankyrin-repeat containing defense gene, expression of whose during infection led to enhanced resistance to the fungal pathogen in transgenic soybean plants. PLoS ONE 2016, 11, e0163106. [CrossRef]
  17. Brar, H.K.; Bhattacharyya, M.K. Expression of a single-chain variable-fragment antibody against a Fusarium virguliforme toxin peptide enhances tolerance to sudden death syndrome in transgenic soybean plants. Mol. Plant-Microbe Interac. 2012, 25, 817–824. [CrossRef]
  18. de Farias Neto, A.L.; Hashmi, R.; Schmidt, M.; Carlson, S.R.; Hartman, G.L.; Li, S.; Nelson, R.L.; Diers, B.W. Mapping and confirmation of a new sudden death syndrome resistance QTL on linkage group D2 from the soybean genotypes PI 567374 and ‘Ripley.’ Mol Breed. 2007, 20, 53–62. [CrossRef]
  19. Hartman, G.L.; Huang, Y.H.; Nelson, R.L.; Noel, G.R. Germplasm evaluation of Glycine max for resistance to Fusarium solani, the causal organism of sudden death syndrome. Plant Dis. 1997, 81, 515–518. [CrossRef]
  20. Mueller, D.S.; Hartman, G.L.; Nelson, R.L.; Pedersen, W.L. Evaluation of Glycine max germ plasm for resistance to Fusarium solani f. sp. glycines. Plant Dis. 2002, 86, 741-746. [CrossRef]
  21. Mueller, D.S.; Nelson, R.L.; Hartman, G.L.; Pedersen, W.L. Response of commercially developed soybean cultivars and the ancestral soybean lines to Fusarium solani f. sp. glycines. Plant Dis. 2003, 87, 827-831. [CrossRef]
  22. Arruda, G.M.T.; Miller, R.N.G.; Ferreira, M.; Café-Filho, A.C. Morphological and molecular characterization of the sudden-death syndrome pathogen of soybean in Brazil. Plant Pathol. 2005, 54, 53–65.
  23. Kandel, Y.R.; Bradley, C.A.; Chilvers, M.I.; Mathew, F.M.; Tenuta, A.U.; Smith, D.L.; Wise, K.A.; Mueller, D.S. Effect of seed treatment and foliar crop protection products on sudden death syndrome and yield of soybean. Plant Dis. 2019, 103, 1712–1720. [CrossRef]
  24. Rupe, J.C.; Robbins, R.T.; Gbur, E.E. Effect of crop rotation on soil population densities of Fusarium solani and Heterodera glycines and on the development of sudden death syndrome of soybean. Crop Prot. 1997, 16, 575–580. [CrossRef]
  25. Scherm, H.; Yang, X.B.; Lundeen, P. Soil variables associated with sudden death syndrome in soybean fields in Iowa. Plant Dis. 1998, 82, 1152–1157. [CrossRef]
  26. Vosberg, S.K.; Marburger, D.A.; Smith, D.L.; Conley, S.P. Planting date and fluopyram seed treatment effect on soybean sudden death syndrome and seed yield. Agron J. 2017, 109, 2570. [CrossRef]
  27. Weems, J.D.; Haudenshield, J.S.; Bond, J.P.; Hartman, G.L.; Ames, K.A.; Bradley, C.A. Effect of fungicide seed treatments on Fusarium virguliforme infection of soybean and development of sudden death syndrome. Can. J. Plant Pathol. 2015, 37, 435-447. [CrossRef]
  28. Beatty, K.D.; Eldridge, I.L.; Simpson, A.M. Soybean response to different planting patterns and dates. Agron J. 1982, 74, 859–862.
  29. De Bruin, J.L.; Pedersen, P. Soybean seed yield response to planting date and seeding rate in the upper Midwest. Agron J. 2008, 100, 696–703. [CrossRef]
  30. Egli, D.B.; Bruening, W. Planting date and soybean yield: evaluation of environmental effects with a crop simulation model: SOYGRO. Agric For Meteorol. 1992, 62, 19–29.
  31. Hershman, D.E.; Hendrix, J.W.; Stuckey, R.E.; Bachi, P.R.; Henson, G. Influence of planting date and cultivar on soybean sudden death syndrome in Kentucky. Plant Dis. 1990, 74, 761–766.
  32. Marburger, D.A.; Smith, D.L.; Conley, S.P. Revisiting planting date and cultivar effects on soybean sudden death syndrome development and yield loss. Plant Dis. 2016, 100, 2152-2157. [CrossRef]
  33. Wrather, J.A.; Kendig, S.R.; Anand, S.C.; Niblack, T.L.; Smith, G.S. Effects of tillage, cultivar, and planting date on percentage of soybean leaves with symptoms of sudden death syndrome. Plant Dis. 1995, 79, 560-562.
  34. Xing, L.; Westphal, A. Effects of crop rotation of soybean with corn on severity of sudden death syndrome and population densities of Heterodera glycines in naturally infested soil. Field Crops Res. 2009, 112, 107–117. [CrossRef]
  35. Fungal control agents sorted by cross resistance pattern and mode of action (including coding for FRAC Groups on product labels). Fungicide Resistance Action Committee (FRAC). 2022. Available online: https://www.frac.info/knowledge-database/downloads (accessed on 16 September 2022).
  36. Sjarpe, D.A.; Kandel, Y.R.; Chilvers, M.I.; Giesler, L.J.; Malvick, D.K.; McCarville, M.T.; Tenuta, A.U.; Wise, K.A.; Mueller, D.S. Multi-location evaluation of fluopyram seed treatment and cultivar on root infection by Fusarium virguliforme, foliar symptom development, and yield of soybean. Can. J. Plant Pathol. 2019, 42, 192–202. [CrossRef]
  37. Augusto, J.; Brenneman, T.B.; Baldwin, J.A.; Smith, N.B. Maximizing economic returns and minimizing stem rot incidence with optimum plant stands of peanut in Nicaragua. Peanut Sci. 2010, 37, 137–143. [CrossRef]
  38. Carpenter, K.A.; Sisson, A.J.; Kandel, Y.R.; Ortiz, V.; Chilvers, M.I.; Smith, D.L.; Mueller, D.S. Effects of mowing, seeding rate, and foliar fungicide on soybean Sclerotinia stem rot and yield. Plant Health Prog. 2021, 22, 129–135. [CrossRef]
  39. Hagan, A.K.; Campbell, H.L.; Bowen, K.L.; Wells, L. Seeding rate and planting date impacts stand density, diseases, and yield of irrigated peanuts. Plant Health Prog. 2015, 16, 63–70. [CrossRef]
  40. Webster, R.W.; Roth, M.G.; Mueller, B.D.; Mueller, D.S.; Chilvers, M.I.; Willbur, J.F.; Mourtzinis, S.; Conley, S.P.; Smith, D.L. Integration of row spacing, seeding rates, and fungicide applications for control of Sclerotinia stem rot in Glycine max. Plant Dis. 2022, 106, 1183-1191. [CrossRef]
  41. de Farias Neto, A.L.; Hartman, G.L.; Pedersen, W.L.; Li, S.; Bollero, G.A.; Diers, B.W. Irrigation and inoculation treatments that increase the severity of soybean sudden death syndrome in the field. Crop Sci. 2006, 46, 2547-2554.
  42. Sjarpe, D.A. Effect of seed treatments and soybean cultivars on root rot caused by Fusarium virguliforme. Masters Thesis, Iowa State University, Ames, Iowa, 2017. [CrossRef]
  43. Gibson, P.T.; Shenaut, M.A.; Njiti, V.N.; Suttner, R.J.; Myers Jr, O. Soybean varietal response to sudden death syndrome. In Proc 24th Soybean Seed Res Conf, Chicago, Illinois, USA, 1994 Dec 6.
  44. Wang, J.; Jacobs, J.L.; Byrne, J.M.; Chilvers, M.I. Improved diagnoses and quantification of Fusarium virguliforme, causal agent of soybean sudden death syndrome. Phytopathology 2015, 105, 378–387.
  45. Agricultural Prices. USDA-NASS, United States Department of Agriculture- National Agricultural Statistics Service. 2021. Available online: http://www.nass.usda.gov/Publications/Todays_Reports/reports/agpr1121.pdf (accessed on 23 Aug 2022).
  46. Agricultural Prices. USDA-NASS, United States Department of Agriculture- National Agricultural Statistics Service. 2022. Available online: http://www.nass.usda.gov/Publications/Todays_Reports/reports/agpr0622.pdf (accessed on 23 Aug 2022).
  47. Piepho, H.P. A SAS macro for generating letter displays of pairwise mean comparisons. Communications in Biometery and Crop Sci. 2012, 7, 4-13.
  48. Kandel, Y.R.; Lawson, M.N.; Brown, M.T.; Chilvers, M.I.; Kleczewski, N.M.; Telenko, D.E.; Tenuta, A.; Smith, D.L.; Mueller, D.S. Field and greenhouse assessment of seed treatment fungicides for management of sudden death syndrome and yield response of soybean. Plant Dis. 2022. [CrossRef]
  49. Luckew, A.S.; Leandro, L.F.; Bhattacharyya, M.K.; Nordman, D.J.; Lightfoot, D.A.; Cianzio, S.R. Usefulness of 10 genomic regions in soybean associated with sudden death syndrome resistance. Theor. Appl. Genet. 2013, 126, 2391-2403. [CrossRef]
  50. Wen, Z.; Tan, R.; Yuan, J.; Bales, C.; Du, W.; Zhang, S.; Chilvers, M.I.; Schmidt, C.; Song, Q.; Cregan, P.B.; Wang, D. Genome-wide association mapping of quantitative resistance to sudden death syndrome in soybean. BMC Genom. 2014, 15, 1-11. [CrossRef]
  51. Brar, H.K.; Swaminathan, S.; Bhattacharyya, M.K. The Fusarium virguliforme toxin FvTox1 causes foliar sudden death syndrome-like symptoms in soybean. Mol. Plant-Microbe Interact. 2011, 24, 1179-1188. [CrossRef]
  52. Chang, H.X.; Roth, M.G.; Wang, D.; Cianzio, S.R.; Lightfoot, D.A.; Hartman, G.L.; Chilvers, M.I. Integration of sudden death syndrome resistance loci in the soybean genome. Theor. Appl. Genet. 2018, 131, 757-773. [CrossRef]
  53. Wang, J.; Jacobs, J.L.; Roth, M.G.; Chilvers, M.I. Temporal dynamics of Fusarium virguliforme colonization of soybean root. Plant Dis. 2019, 103, 19-27. [CrossRef]
  54. Kandel, Y.R.; Leandro, L.F.S.; Mueller, D.S. Effect of tillage and cultivar on plant population, sudden death syndrome, and yield of soybean in Iowa. Plant Health Prog. 2019, 20, 29–34. [CrossRef]
  55. Geleta, B.; Atak, M.; Baenziger, P.S.; Nelson, L.A.; Baltenesperger, D.D.; Eskridge, K.M.; Shipman, M.J.; Shelton, D.R. Seeding rate and genotype effect on agronomic performance and end-use quality of winter wheat. Crop Sci. 2002, 42, 827–832. [CrossRef]
  56. Isidro-Sánchez, J.; Perry, B.; Singh, A.K.; Wang, H.; DePauw, R.M.; Pozniak, C.J.; Beres, B.L.; Johnson, E.N.; Cuthbert, R.D. Effects of seeding rate on durum crop production and physiological responses. Agron J. 2017, 109, 1981–1990. [CrossRef]
  57. Nleya, T.; Rickertsen, J. Seeding rate effects on yield and yield components of chickpea in South Dakota. Crop manag. 2013, 12, 1–6. [CrossRef]
  58. Rod, K.S.; Shockley, J.; Knott, C.A. Seed yield, seed quality, profitability, and risk analysis among double crop soybean maturity groups and seeding rates. Agron J. 2021, 113, 1792–1802. [CrossRef]
  59. Schutte, M.; Nleya, T. Row spacing and seeding rate effects on soybean seed yield. In Soybean-Biomass, Yield and Productivity; Kasai, M., IntechOpen: 2018. [CrossRef]
  60. Kandel, Y.R.; Phillips, X.A.; Gaska, J.M.; Conley, S.P.; Mueller, D.S. Effect of planting population on stem diseases of soybean in Iowa and Wisconsin. Plant Health Prog. 2021, 22, 108–112. [CrossRef]
  61. Sconyers, L.E.; Brenneman, T.B.; Stevenson, K.L.; Mullinix, B.G. Effects of row pattern, seeding rate, and inoculation date on fungicide efficacy and development of peanut stem rot. Plant Dis. 2007, 91, 273–278. [CrossRef]
Table 1. Field locations and trial details used for integrated disease management experiments of sudden death syndrome (SDS) of soybean in Indiana.
Table 1. Field locations and trial details used for integrated disease management experiments of sudden death syndrome (SDS) of soybean in Indiana.
Year Locationa Cultivarsb Planting Date Previous Crop Inocu-lationc Irrigatedd SDS Foliar Symptoms Harvest Date
2019
Wanatah, IN P24A99X (MR)
P22T24X (S)		 6/6 Corn Yes Yes Yes 10/24
2020
Wanatah, IN P25A27X (MR)
P24T76E (S)		 6/6 Corn Yes Yes Yes 11/02
West Lafayette, IN P25A27X (MR)
P24T76E (S)		 5/13 Soybean
 Yes No No 10/14
a Trials located in Wanatah, IN at Pinney Purdue Agricultural Center (PPAC) and in West Lafayette, IN Agronomy Center for Research and Education (ACRE). b MR= SDS moderately resistant cultivar, S= SDS susceptible cultivar. c Field experiments were inoculated in-furrow at planting with Indiana F. virguliforme isolates that had been used to colonize sterilized sorghum at 4.1 g/m within the seedbed. d Overhead irrigation applied weekly at 25 mm (1 in.) unless weekly rainfall was 25 mm or greater in 2019 and 2020.
Table 2. Results of main effects and interactions for root rot, Fusarium virguliforme root infection (FVI), foliar symptoms (FDX), yield, and net return for three field trials across Indiana in 2019 and 2020.
Table 2. Results of main effects and interactions for root rot, Fusarium virguliforme root infection (FVI), foliar symptoms (FDX), yield, and net return for three field trials across Indiana in 2019 and 2020.
P value
Effect Root Rot FVIa FDXa Yield Net Return
Cultivar 0.0021 0.0092 0.1188 0.0213 0.0213
Seed treatment 0.0072 0.0001 0.9952 0.0435 0.1039
Seeding rate 0.0563 0.8363 0.4682 0.0461 0.7175
Cultivar x seed treatment 0.8000 0.8104 0.2868 0.2075 0.2074
Cultivar x seeding rate 0.6145 0.9727 0.0378 0.0484 0.0484
Seed treatment x seeding rate 0.4573 0.2945 0.4640 0.3668 0.5666
Cultivar x seed treatment x seeding rate 0.6541 0.7545 0.4964 0.2565 0.2565
a FVI = Fusarium virguliforme root infection (Quantification of F. virguliforme DNA in roots), and FDX = Foliar disease index.
Table 3. Effect of cultivars, seed treatments, and seeding rates on sudden death syndrome (SDS) root rot severity, Fusarium virguliforme root infection (FVI), and foliar disease index (FDX) in Indianav.
Table 3. Effect of cultivars, seed treatments, and seeding rates on sudden death syndrome (SDS) root rot severity, Fusarium virguliforme root infection (FVI), and foliar disease index (FDX) in Indianav.
Effect Root Rot
(%)w 		FVI
(pg/20 ng DNA)x 		FDX
(%)y
Cultivars
 Moderately resistant 28.2 az 1.0 b 0.2
 Susceptible 26.0 b 1.6 a 0.3
 P value  0.0021  0.0092  0.1188
Seed treatments
 Control 28.3 a 2.8 a 0.2
 Fluopyram 25.8 b 0.7 b 0.2
 Pydiflumetofen 27.2 ab 1.0 b 0.2
 P value  0.0072  0.0001  0.9952
Seeding rates
 272,277 seeds/ha 26.0 1.2 0.2
 346,535 seeds/ha 27.2 1.2 0.3
 420,792 seeds/ha 28.1 1.4 0.3
 P value  0.0563  0.8363  0.4682
v Seed treatments of fluopyram (ILeVO, Bayer Crop Science) applied at 0.15 mg ai/seed and pydiflumetofen (Saltro, Syngenta Crop Protection, LLC) applied at 0.075 mg ai/seed. w Root rot was visually assessed as a percentage of dark discoloration on roots at full pod (R4) growth stage. x Fusarium virguliforme infection in total soybean root DNA was estimated using a F. virguliforme-specific quantitative polymerase chain reaction assay in picograms/nanogram (pg/ng) [44]. y Sudden death syndrome (SDS) in each plot was rated for disease incidence (DI) and disease severity (DS) at the full seed to beginning maturity (R6-R7) growth stages. Disease incidence was the percentage of plants with disease symptoms (0-100%) and disease severity (DS) was rated using a 1-9 scale where 1 refers to low disease pressure and 9 refers to premature death of the plant. SDS foliar disease index (FDX) was then calculated using the formula, FDX= (DI x DS)/9 [43]. z Values are least squares means. Values with different letters in each column are significantly different based on least squares means test (α=0.05).
Table 4. Effect of seed treatment and cultivar by seeding rate on soybean yield and net returns in Indiana.
Table 4. Effect of seed treatment and cultivar by seeding rate on soybean yield and net returns in Indiana.
Effect Yield (kg/ha)w Net Return ($/ha)x
Seed treatmenty
 Control 3,879 bz 1,277
 Fluopyram 3,984 a 1,284
 Pydiflumetofen 3,882 ab 1,243
 P value 0.0435 0.1039
Cultivar resistance type Seeding rates
 Moderately Resistant 272,277 seeds/ha 3,864 bcd 1,288 ab
 Moderately Resistant 346,535 seeds/ha 4,044 a 1,316 a
 Moderately Resistant 420,792 seeds/ha 3,975 abc 1,252 b
 Susceptible 272,277 seeds/ha 3,774 d 1,255 b
 Susceptible 346,535 seeds/ha 3,829 cd 1,236 b
 Susceptible 420,792 seeds/ha 4,002 ab 1,262 ab
 P value 0.0484 0.0484
w Yields were adjusted to 13% moisture at harvest prior to analysis. x A partial profit analysis was used to calculate the expected net return using the equation = (Yield x Grain Sale Price) – (Seed cost + seed treatment cost). A soybean grain sale price of $0.37 kg -1 ($10.15 bu-1) was used. y Seed treatments of fluopyram (ILeVO, Bayer Crop Science) applied at 0.15 mg ai/seed and pydiflumetofen (Saltro, Syngenta Crop Protection, LLC) applied at 0.075 mg ai/seed. z Values are least squares means. Values with different letters are significantly different based on least squares means test (α=0.05).
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