Tennessee State University
4 articles published in JoVE
Simulating Temperature in a Soil Incubation Experiment Jianwei Li1, Precious Areeveso1, Xuehan Wang1, Siyang Jian1,2, Lahiru Gamage1 1Department of Agricultural and Environmental Sciences, Tennessee State University, 2Department of Plant Biology and Microbiology, University of Oklahoma, Norman Laboratory soil warming experiments usually employ two or more constant temperatures in multiple chambers. By presenting a sophisticated environmental chamber, we provide an accurate temperature control method to imitate the magnitude and amplitude of in situ soil temperature and improve the experimental design of soil incubation studies.
Detection of Phytophthora capsici in Irrigation Water using Loop-Mediated Isothermal Amplification Owen Hudson1, Sumyya Waliullah1, Justin Hand2, Romina Gazis-Seregina3, Fulya Baysal-Gurel4, Md Emran Ali1 1Department of Plant Pathology, Coastal Plain Experiment Station, University of Georgia, 2University of Georgia Cooperative Extension, 3Department of Plant Pathology, Tropical Research & Education Center, University of Florida, 4Department of Agricultural and Environmental Sciences, Otis L. Floyd Nursery Research Center, Tennessee State University We developed a method to detect Phytophthora capsici zoospores in water sources using a filter paper DNA extraction method coupled with a loop-mediated isothermal amplification (LAMP) assay that can be analyzed in the field or in the lab.
Sandy Soil Improvement through Microbially Induced Calcite Precipitation (MICP) by Immersion Shihui Liu1, Kang Du1, Kejun Wen1, Wei Huang2, Farshad Amini1, Lin Li3 1Department of Civil & Environmental Engineering, Jackson State University, 2School of Civil Engineering and Architecture, Chongqing University of Science and Technology, 3Department of Civil & Architectural Engineering, Tennessee State University Here, microbially induced calcite precipitation (MICP) technology is presented to improve soil properties by immersion.
Sampling Soils in a Heterogeneous Research Plot Jianwei Li1 1Department of Agriculture and Environmental Science, Tennessee State University The traditional soil-sampling procedure determines the number of soil samples arbitrarily. Here, we provide a simple yet efficient clustered soil-sampling design to demonstrate soil spatial heterogeneity and quantitatively determine the number of soil samples required and the associated sampling accuracy.