Updated June 30, 2022:
Identification of Suppressive Soil for Managing Soybean Cyst Nematode in North Dakota
TECHNICAL REPORT
NORTH DAKOTA SOYBEAN COUNCIL
JUNE, 2022
Dr. Guiping Yan, Principal Investigator, Dept. Plant Pathology, NDSU
Soybean cyst nematode (SCN) is one of the destructive diseases for soybean production in North Dakota (ND) and can cause 15-30% yield loss without obvious above-ground symptoms. It is very important to manage SCN to reduce economic losses for farmers. Host resistance and crop rotation are the common ways of managing SCN but still, they have their own limitations. The use of suppressive soil can be an alternative to manage this pathogen as a part of an integrated pest management program. Nematode suppressive soils are often found when population densities of the nematode decline greatly over time after initial establishment. These suppressive soils do not support the reproduction of the nematode and have very few or no nematode at all. Soils suppressive to SCN have been reported in a number of locations. However, soil suppressiveness to SCN has not been investigated in ND.
Our previous work for increasing SCN populations for HG type tests revealed that 15 field soil samples with low SCN densities produced zero or low SCN cysts whereas the other samples at similar levels produced a high number of cysts. We suspect some of these fields may be suppressive to SCN, which is transferrable to conducive soil. Hence, the objectives of this research were to evaluate these soybean fields with no reproduction of SCN or declined populations to select ten soybean fields still having low SCN densities and also to evaluate these 10 selected fields for SCN reproduction to identify suppressive soil to manage SCN in ND.
A total of 23 soybean fields, including the 15 fields mentioned above, were sampled from the upper 10 cm of soil in 2021. Soil samples were thoroughly mixed together into a composite sample for each field to ensure the even distribution of nematodes. SCN cysts were extracted from 100 cc of soil and the cysts were crushed to obtain SCN eggs which were quantified using a microscope. Ten of the field soil samples obtained from six counties (Cass, Dickey, Lamoure, Nelson, Richland, Traill) in ND were found to have SCN egg numbers between 0-640 eggs per 100 cc of soil. These fields were previously reported to have high SCN egg numbers but were found to have low numbers at the time of soil collection. Table 1 showed the reduction of SCN eggs in those field samples compared to the data collected in 2016. These ten fields were selected for subsequent greenhouse experiments to identify suppressive soil to SCN.
For the greenhouse experiments, each field soil sample was mixed thoroughly by hand. The experiments were conducted with four treatments; T1: inoculated 100 % autoclaved field soil, T2: inoculated (90% autoclaved field soil + 10 % natural field soil), T3: inoculated 100 % natural field soil, and T4 (control): non-inoculated 100% natural field soil. The soil was then mixed thoroughly for each treatment, and an SCN population from Richland county was used for inoculation. Susceptible soybean cultivar Barnes was used as the host of SCN and the seed was pre-germinated for 4 to 5 days before planting. All treatments were replicated four times in plastic cone containers each containing an average of 100 cc of soil in a growth chamber maintained at 27 °C.
A total of three trials were conducted. Trial 1 was carried out in August 2021 with inoculation of 2,000 SCN eggs per plant per pot, and harvested 60 days after planting and inoculation. In November 2021, trial 2 was conducted after collecting soil again from those ten fields. Trial 3 was performed in February 2022. Trials 1 and 3 were conducted in the same way but there were some changes in trial 2. The difference in trial 2 was that the experiment was set up on a weekly basis (2-3 field samples per week) and 600-650 second-stage juveniles (J2s) of SCN were used as inoculum instead of eggs. The purpose was to avoid any error in counting white females which might turn brown in a short time after harvest. A hatching experiment was conducted to hatch SCN eggs into J2s for trial 2 in an incubator at 270 C for 48 hrs.
After harvesting the experiments, plant parts above the soil surface were removed, and cysts were extracted from plant roots and soil in each container. White females (before becoming cysts) were identified and counted under a microscope. All white females and brown cysts were crushed, and eggs along with J2s were extracted and counted. The reproductive factor was calculated by dividing the final population density by the initial population density. Analysis of Variance (ANOVA) was conducted for the statistical analysis and grouping of means was done by Fisher’s least significant difference (LSD) at a=0.05 using R software. The counting data were transformed using log-transformation log(x+1) before doing ANOVA.
From trial 1, five field samples (HG 21-1A, HG 21-1B, HG 66, HG 119-2, HG 21-3) were found to have high numbers of white females ranging from 240 to 631 per 100 cc of soil in the non-inoculated 100% natural field soil treatment (Table 2). Similarly, the numbers of eggs in these field soils except in HG 66 were found to be high ranging from 363 to 1,564 per g of soil (Table 3). It indicates the four field samples (HG 21-1A, HG 21-1B, HG 119-2, HG 21-3) supported the SCN reproduction and might not possess suppressiveness against SCN. Two of these four field samples were tested in trial 2. Results of the count of the white females from the two field soils still showed high numbers of SCN cysts as in trial 1. Thus, these four field samples were not chosen for trial 3.
All the three trials consistently showed that five field samples (HG 64, HG 150, HG 193, HG 21-2A, and HG 66,) had low numbers of SCN white females (0-9.5 per 100 cc of soil) except HG 66 in trial 1, and low numbers of SCN eggs (0-33.75 per g of soil) in non-inoculated 100% natural field soil treatment (Tables 2 and 3).
Out of the five field samples, one sample from Richland County (HG 21-2A) showed a significant reduction in SCN white females and eggs at inoculated 100% natural field soil as compared to inoculated 100% autoclaved field soil in trials 1 and 3, indicating the potential to be suppressive (Table 2 and Table 3). This similar difference was not observed in trial 2, which might be due to the changes in trial 2 during the experimental setup. Similarly, the reproductive factor was also found significantly lowered in inoculated 100% natural field soil as compared to inoculated 100% autoclaved field soil in trial 1 and trial 3 (Fig 1). But the mixing of 10% field soil with 90% autoclaved field soil was not able to suppress SCN population significantly in HG 21-2A, which might be due to the lower amount of natural field soil mixed with autoclaved soil. Increasing the percentage of field soil to be mixed with autoclaved soil is necessary to verify whether the suppressiveness of this soil is transferrable to conducive soil.
This research found that HG 21-2A may be potentially suppressive to SCN among the selected 10 fields. Other fields considered for both trials 2 and 3 having very low SCN populations in non-inoculated natural field soils might be due to other factors. Further research can be done to investigate this field through microbiome analysis to identify and quantify the specific microbes such as fungi and bacteria that may be antagonistic to SCN for developing biocontrol agents.
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IDENTIFICATION OF SUPPRESSIVE SOIL FOR MANAGING SOYBEAN CYST NEMATODE IN NORTH DAKOTA
EXECUTIVE SUMMARY
NORTH DAKOTA SOYBEAN COUNCIL
JUNE, 2022
Dr. Guiping Yan, Principal Investigator, Dept. Plant Pathology, NDSU
Research conducted
A total of 23 soybean fields from eight counties in ND were sampled for SCN population densities that were previously reported to have decreasing populations over past years. Ten fields with lower SCN population were selected for greenhouse experiments (Fig. 1). Three experiments were conducted each in four replications. Susceptible soybean cultivar Barnes was used as the host of SCN. After 60 days of growth and inoculation, cysts were extracted from plant roots and soil, and white females were identified and counted under a microscope. Cysts were then crushed and SCN eggs and juveniles were extracted and counted. The reproductive factor was calculated by dividing the final nematode population density by the initial population density.
Why the research is important to ND soybean farmers?
Soybean cyst nematode is the most damaging pathogen of soybean. Management of this disease is crucial to reduce the economic losses to the farmers. Enhancement of soil-based natural suppression could be an alternative means to manage SCN or as a part of an integrated pest management program. This project targets the integrated pest management approach to managing SCN through identification of suppressive soil. This is the first study in ND to investigate suppressive soil for SCN management.
Final findings of the research
Two of the greenhouse experiments (Trial 1 and Trial 3) consistently showed that one of the fields from Richland county has the potential to be suppressive against SCN as they significantly reduced the SCN white females (per 100 cc of soil) and SCN eggs (per g of soil) in inoculated 100% field soil (suppressive treatment) as compared to inoculated 100 % autoclaved field soil (conducive treatment). The reproductive factor values were also found to be significantly reduced in HG 21-2A in those two trials (Fig. 2) in the suppressive treatment. Four fields out of the 10 selected fields showed lower SCN populations in non-inoculated 100% natural field soil in all the trials.
Benefits/Recommendations to North Dakota soybean farmers and industry
Such research findings can be beneficial because suppressive soil (HG 21-2A) can reduce nematode numbers in infested fields for SCN management. Further research on its transferability should be performed. Soil microbiome analysis will help identify specific microbes playing a key role in the suppressiveness against SCN for developing biocontrol agents. Biocontrol agents and bionematicides have become increasingly attractive as they are highly specific to the target nematodes and friendly to the environment.