posted on 2025-08-19, 02:29authored byAlexandra M. Huddell, Resham Thapa, Guillermo Marcillo, Lori Abendroth, Victoria Ackroyd, Shalamar Armstrong, Gautam Asmita, Muthukumar Bagavathiannan, Kipling Balkcom, Andrea Basche, Shawn Beam, Kevin Bradley, Lucas Canisares, Heather Darby, Adam Davis, Pratap Devkota, Warren Dick, Jeffery Evans, Wesley Everman, Tauana Ferreira De Almeida, Michael Flessner, Lisa Fultz, Stefan Gailans, Masoud Hashemi, Joseph Haymaker, Matthew Helmers, Nicholas Jordan, Thomas Kaspar, Quirine M. Ketterings, Eileen J. Kladivko, Alexandra Kravchenko, Eugene Law, Lauren Lazaro, Ramon Leon, Jeffrey Liebert, John Lindquist, Kristen Loria, Jodie McVane, Jarrod Miller, Michael Mulvaney, Nsalambi Nkongolo, Jason Norsworthy, Binaya Parajuli, Christopher Pelzer, Cara Peterson, Hanna Poffenbarger, Pratima Poudel, Mark Reiter, Matt Ruark, Matthew Ryan, Spencer Samuelson, John Sawyer, Sarah Seehaver, Lovreet Shergill, Yogendra Upadhyaya, Mark VanGessel, Ashley Waggoner, John Wallace, Samantha Wells, Charles White, Bethany Wolters, Alex Woodley, Rongzhong Ye, Eric Youngerman, Brian A. Needelman, Steven B. Mirsky
<p>Winter cover crop performance metrics (i.e., vegetative biomass quantity and quality) affect ecosystem services provisions but vary widely due to differences in agronomic practices, soil properties, and climate. Cereal rye (Secale cereale) is the most common winter cover crop in the United States due to its winter hardiness, low seed cost, and high biomass production. We compiled data on cereal rye winter cover crop performance metrics, agronomic practices, and soil properties across the eastern half of the United States. The dataset includes a total of 5,695 cereal rye biomass observations across 208 site-years between 2001–2022 and encompasses a wide range of agronomic, soil, and climate conditions. Cereal rye biomass values had a mean of 3,428 kg ha−1, a median of 2,458 kg ha−1, and a standard deviation of 3,163 kg ha−1. The data can be used for empirical analyses, to calibrate, validate, and evaluate process-based models, and to develop decision support tools for management and policy decisions.</p>
Funding
USDA-NRCS: NR21-13G022
USDA-NIFA: 2019-68012-29818
USDA-NIFA: MD-ENST-22008
Agriculture and Food Research Institute*: 2018-68011-28372