Pennsylvania: White Mold in Soybeans Sporecaster Forecasts and Scouting – July 28, 2020

Characteristic white mold symptoms include white, cottony mycelium on the stem of soybean plants. Photo: Damon Smith, University of Wisconsin Madison

White mold is a soybean disease that occurs when spores from the fungus Sclerotinia sclerotiorum infect susceptible flowers, leading to growth throughout the soybean plant (Figure 1). Signs of white mold include white, cottony mycelial growth on the stem and black overwintering structures (Figure 2), called sclerotia, form inside the stem and pods. Plants may also display brown wilting symptoms. However, white mold symptoms will only show up after flowering has ended, and treatment options are no longer available.


Figure 1. White mold wilting symptoms and white fungal growth on the stem. (Photo: Paul Esker, Penn State Extension)


Figure 2. Sclerotinia sclerotiorum sclerotia found in the soil at the base of the soybean plants. Sclerotia germinate and produce apothecia (small mushroom-like structures) at soybean flowering, which release ascospores that infect soybean flowers. (Photo: Tyler McFeaters, Penn State

Preventative fungicide sprays are the only in-season option for white mold control. Early fungicide application during flowering, between R1 and R3, is critical. When determining whether a fungicide application is warranted, it is important to consider weather as a key factor for risk. The risk of white mold infections increases with cool, wet conditions at soybean flowering. A mobile application developed at the University of Wisconsin-Madison, called “Sporecaster,” helps growers predict the risk of infection and if a fungicide application would be warranted.

Background of the Sporecaster App and validation project:

The Sporecaster app is based on a model that considers location, weather, and cultural practices to estimate the risk for white mold. The models used by the app make predictions based on the weather factors like daily maximum temperature, wind speed, and daily maximum relative humidity.

The app also takes into account row width, canopy closure, and irrigation (if applicable). Growers can set their own action threshold, but typically if risk is above 30-40%, a fungicide spray is recommended. While the app has proven helpful in the Midwest and was validated to be accurate 81% of the time, further validation is being conducted in Northeastern climates like those of Pennsylvania and New York to validate the utility of the app.

July 28, 2020

Validation of the Sporecaster app: We are continuing to test the Sporecaster model accuracy for forecasting white mold development in Pennsylvania soybean fields. For more information about Sporecaster and the project goals, as well as the initial Sporecaster model predictions, see the description for July 7, 2020 (below). Model runs for July 22 to July 28 used the same parameters as during the previous three weeks.

Table 1. Sporecaster predictions for 2020 in various locations throughout PA for the period, July 22 to July 28, 2020.*

County Row Spacing (in) Risk on 7/22 (%) Risk on 7/28 (%) Spray recommendation Week trend 30-Day Avg. Temp (°F) Avg. Wind Speed (mph)
Centre 30 57 50 High Decreasing 85 6
Centre 15 47 40 High Decreasing 85 6
Erie 30 57 46 High Decreasing 82 9
Erie 15 55 46 High Decreasing 82 9
Indiana 30 58 51 High Decreasing 82 8
Indiana 15 62 54 High Decreasing 82 8
Lancaster 30 14 11 Low Decreasing 87 10
Lancaster 15 14 12 Low Decreasing 87 10
Lebanon 30 32 28 High/Medium Decreasing 86 8
Lebanon 15 38 26 High/Medium Decreasing 86 8
Lycoming 30 34 28 High/Medium Decreasing 88 7
Lycoming 15 30 24 High/Medium Decreasing 88 7
Northampton 30 32 25 High/Medium Decreasing 86 8
Northampton 15 32 24 High/Medium Decreasing 86 8
Somerset 30 57 47 High Decreasing 81 9
Somerset 15 62 51 High Decreasing 81 9

*Note: Values given in the table represent only small areas of a county and local weather events may increase the risk of white mold. Therefore, it is important to enter specific fields into the Sporecaster app to get the most accurate risk prediction from the model.

Interpretation

All monitored locations continue to show a decreased risk of white mold infection. Nonetheless, the risk in some areas remains high, especially in the Western, Northern, and Central regions of the state. In some areas of the state, soybean has moved into or past the R3 growth stage, which is outside the window for effective fungicide applications. In other fields, we have seen that growth continues to be slow, remaining in the R1 to R2 growth stages. Now is a critical time for spray decisions to be made, as this is the last chance to protect soybeans from white mold. If you have a field with a history of white mold and risk is in the high range with soybeans above 40% canopy closure, then a fungicide is recommended. In checking some fields for canopy development, we have seen high variation, with some fields with short statured plants, and others well-developed with canopy coverage from 70-80%.

July 21, 2020

Validation of the Sporecaster app

We are continuing to test the Sporecaster model accuracy for forecasting white mold development in Pennsylvania soybean fields. For more information about Sporecaster and the project goals, as well as the initial Sporecaster model predictions, see the description for July 7, 2020 (below). Model runs for July 15 to July 21 used the same parameters as during the previous two weeks.

Table 1. Sporecaster predictions for 2020 in various locations throughout PA for the period, July 15 to July 21, 2020.

County Row Spacing (in) Risk on 7/15 (%) Risk on 7/21(%) Spray recommendation Week trend 30-Day Avg. Temp(°F) Avg. Wind Speed (mph)
Centre 30 62 57 High Decreasing 84 7
Centre 15 55 47 High Decreasing 84 7
Erie 30 56 57 High Constant 80 9
Erie 15 62 55 High Decreasing 80 9
Indiana 30 67 57 High Decreasing 81 8
Indiana 15 76 61 High Decreasing 81 8
Lancaster 30 21 16 Medium/Low Decreasing 85 10
Lancaster 15 21 17 Medium/Low Decreasing 85 10
Lebanon 30 38 31 High Decreasing 84 8
Lebanon 15 50 39 High Decreasing 84 8
Lycoming 30 43 33 High Decreasing 87 7
Lycoming 15 45 29 High/Medium Decreasing 87 7
Northampton 30 42 33 High Decreasing 85 8
Northampton 15 33 31 High Constant 85 8
Somerset 30 66 54 High Decreasing 78 9
Somerset 15 66 62 High Decreasing 78 9

Interpretation

White mold risk across PA continues to decrease over the past week. Nearly all soybean in the state should now be at flowering and in some cases into pod development where spraying fungicides for white mold should stop. Several areas in Western and Northwestern PA remain above 50-60% risk due to cool night temperatures in the low-60s and frequent scattered rain showers. Most growers should not be too concerned about white mold this year, unless there has been an extensive history of white mold in certain fields. The 30-inch row spacing has continued to show a lower risk, by an average of 4 percent, than 15-inch spacing in all locations, except Centre and Northampton counties.

July 14, 2020

Validation of the Sporecaster app:

We are continuing to test the Sporecaster model accuracy for forecasting white mold development in Pennsylvania soybean fields. For more information about Sporecaster and the project goals, as well as the initial Sporecaster model predictions, see below (July 7, 2020). Model runs for July 8 to July 14 used the same parameters as we did for week one.

Table 1. Sporecaster predictions for 2020 in various locations throughout PA for the period, July 8 to July 14, 2020.

County Row Spacing (in) Risk on 7/1 (%) Risk on 7/7(%) Spray recommendation Week trend 30-Day Avg. Temp(°F) Avg. Wind Speed (mph)
Centre 30 72 64 High Decreasing 82 8
Centre 15 65 56 High Decreasing 82 8
Erie 30 65 56 High Decreasing 79 9
Erie 15 69 60 High Constant 79 9
Indiana 30 70 66 High Decreasing 80 8
Indiana 15 76 76 High Constant 80 8
Lancaster 30 19 21 Low/Medium Constant 84 10
Lancaster 15 24 20 Medium Decreasing 84 10
Lebanon 30 45 41 High Decreasing 82 8
Lebanon 15 58 52 High Decreasing 82 8
Lycoming 30 46 41 High Decreasing 84 7
Lycoming 15 54 54 High Constant 84 7
Northampton 30 52 50 High Constant 84 9
Northampton 15 44 32 High Decreasing 84 9
Somerset 30 70 66 High Decreasing 77 9
Somerset 15 73 67 High Decreasing 77 9

Interpretation:

Temperatures remained warm throughout the state, thus lowering the white mold risk in most areas. However, the risk remains high everywhere except in the Southeast region in locations near Lancaster County, where risk was low (7/8) or medium (7/14). Further contributing to the decrease in risk is that most of the state remained abnormally dry everywhere, except again the Southeast region. With average wind speeds below 10 mph in many areas, which is a major factor for drying the canopy, the risk of white mold remains high in much of the state. It is very important that you scout your fields and check canopy development, especially on 30-inch rows.


Figure 1. Risk percentage for white mold development on July 14th, 2020.

July 7, 2020

Validation of the Sporecaster app:

In 2020, we will be monitoring select locations throughout Pennsylvania. We will summarize the risk based on different expected flowering dates, as well as different action thresholds (30% versus 40%). The strength of the Sporecaster app is that we can examine different flowering dates to understand how current weather conditions are influencing the risk model: i.e., is the model trending downward in terms of risk, or is it increasing?

2020 Risk information for the period, July 1 to July 7, 2020

Parameters we use to run the model include:

  • 30-inch (this assumes that the 40% canopy closure requirement is met) or 15-inch row spacing
  • Flowers Present
  • Non-Irrigated
  • 30% Action Threshold

Table 1. Sporecaster predictions for 2020 in various locations throughout PA. This week’s period is from July 1 to July 7, 2020.

County Row Spacing (in) Risk on 7/1 (%) Risk on 7/7(%) Spray recommendation Week trend 30-Day Avg. Temp(°F) Avg. Wind Speed (mph)
Centre 30 74 73 High Constant 80 7
Centre 15 77 69 High Decreasing 80 7
Erie 30 71 65 High Decreasing 77 9
Erie 15 71 71 High Constant 77 9
Indiana 30 79 73 High Decreasing 78 8
Indiana 15 79 77 High Decreasing 78 8
Lancaster 30 30 19 High/Low Decreasing 83 10
Lancaster 15 30 23 High/Medium Decreasing 83 10
Lebanon 30 54 44 High Decreasing 82 8
Lebanon 15 54 55 High Constant 82 8
Lycoming 30 58 47 High Decreasing 84 7
Lycoming 15 59 54 High Decreasing 84 7
Northampton 30 52 50 High Decreasing 82 8
Northampton 15 52 45 High Decreasing 82 8
Somerset 30 73 73 High Constant 76 10
Somerset 15 73 73 High Constant 76 10

Interpretation:

At most locations, the risk remains high for white mold but is starting to trend downwards with the hotter weather. In our monitoring site in Lancaster County, we see that this risk is low to medium (as of 7/7), depending on the row spacing. Dry weather is expected to continue throughout PA, with the 10-day forecast predicting only scattered thunderstorms in most locations. However, white mold development can occur with foggy conditions and mornings that have high dew, as well as cooler temperatures. The 15-inch row spacing is predicted to have slightly higher risk of white mold in most areas.

Continued validation and white mold scouting during the summer:

To further validate the Sporecaster app, we will scout fields in each of the monitored counties after soybeans reach the R5 growth stage (seed is 1/8 inch long in the pod at one of the four uppermost nodes of the main stem) and symptoms are visible. The disease severity within the field will be compared with the Sporecaster prediction to determine if it was an accurate predictor of white mold incidence.

Scouting soybeans for white mold is the first step in protecting future crops. An example scouting protocol includes walking a “W” shape through your field. Make 20 stops throughout the field where you can pull back the canopy and get a closer look for white stems and black sclerotia. Where disease severity is high, in the future, you may consider alternative crop rotations to a non-host, wider row spacing in soybeans, or partially resistant varieties.




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