Location: Sustainable Agricultural Systems Laboratory
Title: U.S. cereal rye winter cover crop growth databaseAuthor
HUDDELL, ALEXANDRA - UNIVERSITY OF MARYLAND | |
THAPA, RESHAM - TENNESSEE STATE UNIVERSITY | |
NEEDELMAN, BRIAN - UNIVERSITY OF MARYLAND | |
Mirsky, Steven | |
DAVIS, ADAM - UNIVERSITY OF ILLINOIS | |
PETERSON, CARA - UNIVERSITY OF MARYLAND | |
KLADIVKO, ELLEEN - PURDUE UNIVERSITY | |
LAW, EUGENE - UNIVERSITY OF DELAWARE | |
DARBY, HEATHER - UNIVERSITY OF VERMONT | |
MCVANE, JODIE - TEXAS A&M UNIVERSITY | |
HAYMAKE, JOSEPH - VIRGINIA TECH | |
Balkcom, Kipling | |
REITER, MARK - VIRGINIA TECH | |
VANGESSEL, MARK - UNIVERSITY OF DELAWARE | |
RUARK, MATT - UNIVERSITY OF WISCONSIN | |
WELL, SAMANTHA - UNIVERSITY OF MINNESOTA | |
GAILANS, STEFAN - PRACTICAL FARMERS OF IOWA | |
FLESSNER, MICHAEL - VIRGINIA TECH | |
MULVANEY, MICHAEL - UNIVERSITY OF FLORIDA | |
BAGAVATHIANNAN, MUTHUKUMAR - TEXAS A&M UNIVERSITY | |
SAMUELSON, SPENCER - TEXAS A&M UNIVERSITY | |
ACKROYD, VICTORIA - UNIVERSITY OF MARYLAND | |
MARCILLO, GUILLERMO - WEST TEXAS A & M UNIVERSITY | |
Abendroth, Lori | |
ARMSTRONG, SHALAMAR - PURDUE UNIVERSITY | |
ASMITA, GAUDAM - PURDUE UNIVERSITY | |
BASCHE, ANDREA - UNIVERSITY OF NEBRASKA | |
BEAM, SHAWN - VIRGINIA TECH | |
BRADLEY, KEVIN - UNIVERSITY OF MISSOURI | |
CANISARES, LUCAS - UNIVERSITY OF KENTUCKY | |
DEVKOTA, PRATAP - UNIVERSITY OF FLORIDA | |
DICK, WARREN - THE OHIO STATE UNIVERSITY | |
EVANS, JEFFERY - FARMSCAPE ANALYTICS | |
EVERMAN, WESLEY - NORTH CAROLINA STATE UNIVERSITY | |
FERREIRA DE ALMEIDA, TAUANA - UNIVERSITY OF NEBRASKA | |
FULTZ, LISA - LOUISIANA STATE UNIVERSITY | |
HASHEMI, MASOUD - UNIVERSITY OF MASSACHUSETTS | |
HELMERS, MATTHEW - IOWA STATE UNIVERSITY | |
JORDAN, NICHOLAS - UNIVERSITY OF MINNESOTA | |
KASPAR, THOMAS | |
KETTERINGS, QUIRINE - CORNELL UNIVERSITY | |
KRAVCHENKO, ALEXANDRA - MICHIGAN STATE UNIVERSITY | |
LAZARO, LAUREN - LOUISIANA STATE UNIVERSITY | |
RAMON, LEON - NORTH CAROLINA STATE UNIVERSITY | |
LIEBERT, JEFFREY - CORNELL UNIVERSITY | |
LINDQUIST, JOHN - UNIVERSITY OF NEBRASKA | |
LORIA, KRISTEN - CORNELL UNIVERSITY | |
MILLER, JARROD - UNIVERSITY OF DELAWARE | |
NKONGOLO, NSALAMBI - NAVAJO TECHNICAL UNIVERSITY | |
NORSWORTHY, JASON - UNIVERSITY OF ARKANSAS | |
PARAJULI, BINAYA - CLEMSON UNIVERSITY | |
PELZER, CHRISTOPHER - CORNELL UNIVERSITY | |
POFFENBARGER, HANNA - UNIVERSITY OF KENTUCKY | |
POUDEL, PRATIMA - CLEMSON UNIVERSITY | |
RYAN, MATTHEW - CORNELL UNIVERSITY | |
SAWYER, JOHN - IOWA STATE UNIVERSITY | |
SEEHAVER, SARAH - NORTH CAROLINA STATE UNIVERSITY | |
SHERGILL, LOVREET - MINNESOTA STATE UNIVERSITY | |
UPADHYAYA, YOGENDRA - UNIVERSITY OF SOUTH FLORIDA COLLEGE OF MEDICINE | |
WAGGONER, ASHLEY - UNIVERSITY OF WISCONSIN | |
WALLACE, JOHN - PENNSYLVANIA UNIVERSITY | |
WHITE, CHARLES - PENNSYLVANIA UNIVERSITY | |
WOLTERS, BETHANY - UNIVERSITY OF TENNESSEE | |
WOODLEY, ALEX - NORTH CAROLINA STATE UNIVERSITY | |
YE, RONGZHONG - CLEMSON UNIVERSITY | |
YOUNGERMAN, ERIC - CORNELL UNIVERSITY |
Submitted to: Scientific Data
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 1/25/2024 Publication Date: 2/13/2024 Citation: Huddell, A.M., Thapa, R., Needelman, B., Mirsky, S.B., Davis, A.S., Peterson, C., Kladivko, E., Law, E., Darby, H., Mcvane, J.M., Haymake, J., Balkcom, K.S., Reiter, M., Vangessel, M., Ruark, M., Well, S., Gailans, S., Flessner, M.L., Mulvaney, M.J., Bagavathiannan, M., Samuelson, S., Ackroyd, V., Marcillo, G., Abendroth, L.J., Armstrong, S.D., Asmita, G., Basche, A., Beam, S., Bradley, K., Canisares, L.P., Devkota, P., Dick, W.A., Evans, J.A., Everman, W.A., Ferreira De Almeida, T., Fultz, L.M., Hashemi, M., Helmers, M.J., Jordan, N., Kaspar, T.C., Ketterings, Q.M., Kravchenko, A., Lazaro, L., Ramon, L.G., Liebert, J., Lindquist, J., Loria, K., Miller, J.O., Nkongolo, N.V., Norsworthy, J., Parajuli, B., Pelzer, C., Poffenbarger, H., Poudel, P., Ryan, M.R., Sawyer, J.E., Seehaver, S., Shergill, L., Upadhyaya, Y.R., Waggoner, A.L., Wallace, J.M., White, C., Wolters, B., Woodley, A., Ye, R., Youngerman, E. 2024. U.S. cereal rye winter cover crop growth database. Scientific Data. 11. Article. https://doi.org/10.1038/s41597-024-02996-9. DOI: https://doi.org/10.1038/s41597-024-02996-9 Interpretive Summary: Cover crops provide benefits such as reduced soil erosion and nutrient runoff; the extent to which they do so depends on how much they grow and their accumulation of carbon and nitrogen. Cover crop growth, in turn, varies widely due to differences in agronomic practices, soil properties, and climate. Cereal rye is the most common winter cover crop in the US because it is cold hardy, the seed is economical, and it has the potential to put on high biomass. We compiled data on cereal rye winter cover crop performance metrics, agronomic practices, and soil properties across the eastern half of the US. We collected a total of 5,339 cereal rye biomass observations across 197 site-years between 2001-2022. Cereal rye biomass values had a mean of 3,375 kg ha-1, a median of 2,336 kg ha-1, and a standard deviation of 3,276 kg ha-1. The dataset encompasses a wide range of agronomic, soil, and climate conditions. This published data set will benefit farmers because it can be used for empirical analyses to calibrate, validate, and evaluate process-based models, and to develop decision support tools for multi-scale management and policy decisions. Technical Abstract: 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 a 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. We collected a total of 5,339 cereal rye biomass observations across 197 site-years between 2001-2022. Cereal rye biomass values had a mean of 3,375 kg ha-1, a median of 2,336 kg ha-1, and a standard deviation of 3,276 kg ha-1. The dataset encompasses a wide range of agronomic, soil, and climate conditions. It can be used for empirical analyses to calibrate, validate, and evaluate process-based models, and to develop decision support tools for multi-scale management and policy decisions. |