TPAC Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in West Lafayette, Indiana
This research project was conducted to assess the influence of cropping system management on non-carbon dioxide (non-CO2) GHG emissions from an eastern cornbelt alfisol. Corn (Zea mays L.) and soybean (Glycine max (L.) Merr.) rotation plots were established, as were plots in continuous management of native grasses or Sorghum/Sudan grass. GHG fluxes were monitored throughout each growing season from 2004 through 2007.
Comparison of four extractants used in soil phosphorus and potassium testing for two soils in a corn-wheat-soybean rotation in Tennessee receiving various amounts of P and K fertilizer
These soil samples are from field experiments initiated in 2009. There were two separate fertilizer rate trials at each location, one for P and one for K, and each was implemented in a corn-winter wheat-soybean rotation. The soils used in this study are from University of Tennessee (UT)’s Research and Education Center at Milan (35.9, -88.73333) and UT’s Highland Rim Research and Education Center at Springfield (36.466667, -86.816667).
UGA Variety Testing Corn Grain Evaluations 2014-2019
This data was collected and published by University of Georgia's Statewide Variety Testing program from 2014-2019. It consists of experimental (non-regulated) and commercially-released corn hybrids entered by seed companies.
Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190): ARDN Products
ARDN (Agricultural Research Data Network) annotations for Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190).
These data are a subset of the Sustainable Corn CAP (Cropping Systems Coordinated Agricultural Project: Climate Change, Mitigation, and Adaptation in Corn-based Cropping Systems) data specifically developed for Agricultural Research Data Network with csv and json files for easy ingestion into crop models.
Data from: Measured and simulated carbon dynamics in Midwestern US corn-soybean rotations
The dataset includes information on soil properties collected from two conventionally managed fields under corn-soybean rotation in October 2005 and October 2016, respectively. The fields are located in Story County, Central Iowa. 42 sampling locations per field and year were sampled within a 50 m × 50 m grid, and 1 to 2 samples per location were collected using a hydraulic soil sampler (d= 38.2 mm) from the 0 - 120 cm soil layer. The samples were analyzed to determine carbon and nitrogen concentration, and soil pH in five soil layers (0-15, 15-30, 30-60, 60-90, and 90-120 cm). Presented is the raw data per location (mean of duplicates) with which carbon and nitrogen content can be calculated with either the equivalent soil mass method or by using bulk density.
Global Land Analysis & Discovery (GLAD) Global Cropland Extent
This study utilized 250m MODIS (MODerate Resolution Imaging Spectroradiometer) data to map global production cropland extent. A set of multi-year MODIS metrics incorporating four MODIS land bands, NDVI (Normalized Difference Vegetation Index) and thermal data was employed to depict cropland phenology over the period 2000-2008. The probability and discrete cropland/non-cropland data are available for download by MODIS tile at the full ~250m resolution or as global mosaics at ~1km resolution.
Data from: Responses of Aspergillus flavus to Oxidative Stress Are Related to Fungal Development Regulator, Antioxidant Enzyme, and Secondary Metabolite Biosynthetic Gene Expression
In order to better understand isolate-specific oxidative stress responses, the transcriptional responses of field isolates of *Aspergillus flavus* are examined with varying levels of aflatoxin production (NRRL3357, AF13, and Tox4) to H2O2-induced oxidative stress using an RNA sequencing approach.
Data from: Mitigating nitrogen pollution with under-sown legume-grass cover crop mixtures in winter cereals
This study was part of a cover crop-based, organic rotational no-till cropping systems experiment conducted from 2015-2017 at Pennsylvania State University’s Russell E. Larson Agricultural Research Center in Rock Springs, PA, USA, employing a corn (*Zea mays* subsp. mays L.), soybean (*Glycine max* (L.) Merr.), spelt (*Triticum spelta* L.) rotation that is typical for feed and forage farmers in the Mid-Atlantic USA. Data include: Nitrate leaching from anion resin bags; Nitrous oxide fluxes from static chambers and isotopomers; Soil inorganic N including ammonium and nitrate; Soil moisture and temperature; Cover crop biomass as well as carbon and nitrogen content and nitrogen isotope ratios; Cash crop yields.