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Social and Behavioral Sciences

Electronic Theses and Dissertations

South Dakota

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Full-Text Articles in Life Sciences

Characterizing Spatiotemporal Patterns Of White Mold In Soybean Across South Dakota Using Remote Sensing, Confiance L. Mfuka Jan 2019

Characterizing Spatiotemporal Patterns Of White Mold In Soybean Across South Dakota Using Remote Sensing, Confiance L. Mfuka

Electronic Theses and Dissertations

Soybean is among the most important crops, cultivated primarily for beans, which are used for food, feed, and biofuel. According to FAO, the United States was the biggest soybeans producer in 2016. The main soybean producing regions in the United States are the Corn Belt and the lower Mississippi Valley. Despite its importance, soybean production is reduced by several diseases, among which Sclerotinia stem rot, also known as white mold, a fungal disease that is caused by the fungus Sclerotinia sclerotiorum is among the top 10 soybean diseases. The disease may attack several plants and considerably reduce yield. According to …


Adoption Of Conservation Practices And Precision Technologies In South Dakota: An Empirical Analysis, Allen P. Deutz Jan 2018

Adoption Of Conservation Practices And Precision Technologies In South Dakota: An Empirical Analysis, Allen P. Deutz

Electronic Theses and Dissertations

Advances in conservation agriculture and precision agriculture technology practices have contributed to the adoption of conservation practices that reduce externalities from agricultural production, but this conversion was usually coupled with economic incentive, whether from increases in fertility and yield, or payments for on farm retirement or restoration practices. This study expands on this theme, evaluating the connection between conservation and the increased use of various precision agriculture technologies. The study uses survey data collected from South Dakota farmers and ranchers, with responses from 28 counties and over 500,000 acres of crop, pasture, and range land to address the following three …