You are using an outdated browser. Please upgrade your browser to improve your experience.
Sporecaster

The purpose of Sporecaster is to assist farmers in making management decisions for white mold in soybean

The purpose of Sporecaster is to assist farmers in making management decisions for white mold in soybean

Sporecaster

by University of Wisconsin Nutrient and Pest Management Program
Sporecaster
Sporecaster
Sporecaster

What is it about?

The purpose of Sporecaster is to assist farmers in making management decisions for white mold in soybean. The best time to manage white mold is during flowering (R1 and R2 growth stages) when apothecia (small, mushroom-like structures) are present on the soil surface. Apothecia release spores which infect senescing soybean flowers, leading to the development of white mold. University research has indicated that the appearance of apothecia can be predicted using several variables including weather and amount of soybean row closure in a field. Based on this research, models have been developed to forecast the risk of apothecia being present in a soybean field. Farmers can easily input site-specific information about their soybean field into this app, which combines this information with the research-based models to predict the best timing for white mold treatment or if treatment is even needed at the time.

Sporecaster

App Details

Version
1.41.3
Rating
(4)
Size
6Mb
Genre
Business Utilities
Last updated
October 7, 2022
Release date
May 3, 2018
More info

App Screenshots

Sporecaster screenshot-0
Sporecaster screenshot-1
Sporecaster screenshot-2
Sporecaster screenshot-3
Sporecaster screenshot-4
Sporecaster screenshot-5

App Store Description

The purpose of Sporecaster is to assist farmers in making management decisions for white mold in soybean. The best time to manage white mold is during flowering (R1 and R2 growth stages) when apothecia (small, mushroom-like structures) are present on the soil surface. Apothecia release spores which infect senescing soybean flowers, leading to the development of white mold. University research has indicated that the appearance of apothecia can be predicted using several variables including weather and amount of soybean row closure in a field. Based on this research, models have been developed to forecast the risk of apothecia being present in a soybean field. Farmers can easily input site-specific information about their soybean field into this app, which combines this information with the research-based models to predict the best timing for white mold treatment or if treatment is even needed at the time.

Sporecaster uses GPS coordinates to determine if past local weather has been favorable for the development of apothecia during soybean flowering in a field. Models in the app use 30-day averages of maximum temperature, relative humidity, and maximum wind speed to predict favorable conditions for most soybean growing regions. Based on these predictions and crop phenology, a site-specific risk prediction is generated for three scenarios (non-irrigated soybeans, soybeans planted on 15" row-spacing and irrigated, or soybeans planted on 30" row-spacing and irrigated).

Disclaimer:
AppAdvice does not own this application and only provides images and links contained in the iTunes Search API, to help our users find the best apps to download. If you are the developer of this app and would like your information removed, please send a request to takedown@appadvice.com and your information will be removed.