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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Sustainable Agricultural Systems Laboratory » Research » Research Project #439415

Research Project: Precision Integrated Weed Management in Conventional and Organic Crop Production Systems

Location: Sustainable Agricultural Systems Laboratory

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Addressing biases in replacement series: The importance of reference density selection for interpretation of competition outcomes Reprint Icon - (Peer Reviewed Journal)
Leon, R., Oreja, F.H., Mirsky, S.B., Reberg-Horton, C.S. 2023. Addressing biases in replacement series: The importance of reference density selection for interpretation of competition outcomes. Weed Science. 71:606–614. https://doi.org/10.1017/wsc.2023.53.

Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis Reprint Icon - (Peer Reviewed Journal)
Singh, M., Thapa, R., Singh, N., Mirsky, S.B., Acharya, B., Jhala, A.J. 2023. Does narrow row spacing suppress weeds and increase yields in corn and soybean? A meta-analysis. Weed Science. 71:520–535 https://doi.org/10.1017/wsc.2023.50.

Using Structure-from-Motion to estimate cover crop biomass and characterize canopy structure Reprint Icon - (Peer Reviewed Journal)
Dobbs, A.M., Ginn, D., Skovsen, S., Yadav, R., Jha, P., Bagavathiannan, M.V., Mirsky, S.B., Reberg-Horton, S.S., Leon, R.G. 2023. Using Structure-from-Motion to estimate 302:109099. cover crop biomass and characterize canopy structure. Field Crops Research. https://doi.org/10.1016/j.fcr.2023.109099.

Biochemical composition of cover crop residues determines water retention and rewetting characteristics Reprint Icon - (Peer Reviewed Journal)
Meeks, C., Cabrera, M., Thapa, R., Reberg-Horton, S., Mirsky, S.B. 2023. Biochemical composition of cover crop residues determines water retention and rewetting characteristics. Agronomy Journal.6:3173-3187. https://doi.org/10.1002/agj2.21451.

Quantifying interseeded cover crops effects on soil water and corn productivity in corn-soybean-wheat no-till cropping systems Reprint Icon - (Peer Reviewed Journal)
Schomberg, H.H., White, K., Thompson, A.I., Mirsky, S.B. 2023. Quantifying interseeded cover crops effects on soil water and corn productivity in corn-soybean-wheat no-till cropping systems. Data in Brief.50:109465 https://doi.org/10.1016/j.dib.2023.109465.

Data from: Interseeded cover crop mixtures influence soil water storage during the corn phase of corn-soybean-wheat no-till cropping systems Reprint Icon - (Database / Dataset)
Schomberg, H.H., White, K.E., Thompson, A.I., Mirsky, S.B. 2023. Data from: Interseeded cover crop mixtures influence soil water storage during the corn phase of corn-soybean-wheat no-till cropping systems. Ag Data Commons. https://doi.org/10.1016/j.dib.2023.109465.

Volunteer rapeseed infestation and management in corn Reprint Icon - (Peer Reviewed Journal)
Kumar, V., Sing, V., Flessner, M., Reiter, M., Mirsky, S.B. 2023. Volunteer rapeseed infestation and management in corn. Agronomy Journal.115:2925–2937 https://doi.org/10.1002/agj2.21476.

Optimizing organic no-till planted soybean with cover crop selection and termination timing Reprint Icon - (Peer Reviewed Journal)
Liebert, J., Mirsky, S.B., Pelzer, C.J., Ryan, M.R. 2023. Optimizing organic no-till planted soybean with cover crop selection and termination timing. Agronomy Journal. 115:1938-1956. https://doi.org/10.1002/agj2.21390.

Cover crop termination options and application of remote sensing for evaluating termination efficiency Reprint Icon - (Peer Reviewed Journal)
Kumar, V., Singh, V., Flessner, M., Reiter, M., Mirsky, S.B., Haymaker, J. 2023. Cover crop termination options and application of remote sensing for evaluating termination efficiency. PLOS ONE. 18(4). Article e0284529. https://doi.org/10.1371/journal.pone.0284529.

Winter cereal species, cultivar, and harvest timing affect trade-offs between forage quality and yield Reprint Icon - (Peer Reviewed Journal)
Liebert, J., Cherney, J.H., Ketterings, Q.M., Mirsky, S.B., Pelzer, C.J., Ryan, M.R. 2023. Winter cereal species, cultivar, and harvest timing affect trade-offs between forage quality and yield. Frontiers in Sustainable Food Systems. 7:1067506. https://doi.org/10.3389/fsufs.2023.1067506.

Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton Reprint Icon - (Peer Reviewed Journal)
Sapkota, B., Popescu, S., Rajan, N., Leon, R., Reberg-Horton, C.S., Mirsky, S.B., Bagavathiannan, M. 2022. Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton. Scientific Reports. 12. Article number19580. https://doi.org/10.1038/s41598-022-23399-z.

Effect of water stress on weed germination,growth characteristics, and seed production:a global meta-analysis Reprint Icon - (Peer Reviewed Journal)
Singh, M., Thapa, R., Kukal, M.S., Mirsky, S.B., Jhala, A.J. 2022. Effect of water stress on weed germination,growth characteristics, and seed production:a global meta-analysis. Weed Science. https://doi.org/10.1017/wsc.2022.59.

New directions in weed research and management using 3-D imaging Reprint Icon - (Review Article)
Dobbs, A.M., Bagavathiannan, M.V., Ginn, D., Mirsky, S.B., Reberg-Horton, C.S., Leon, R.G. 2022. New directions in weed research and management using 3-D imaging. Weed Science. 70:641-647. https://doi.org/10.1017/wsc.2022.59.

Modeling realistic 3D agricultural vegetations using photometric-based approach and its application to weed detection Reprint Icon - (Peer Reviewed Journal)
Hu, C., Thomasson, J., Reberg-Horton, S., Mirsky, S.B., Bagavathiannan, M.V. 2022. Modeling realistic 3D agricultural vegetations using photometric-based approach and its application to weed detection. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2022.107020.

Benzoxazinoids in roots and shoots of cereal rye (Secale cereale) and their fates in soil after cover crop termination Reprint Icon - (Peer Reviewed Journal)
Rice, C., Otte, B.A., Kramer, M.H., Schomberg, H.H., Mirsky, S.B., Tully, K.L. 2022. Benzoxazinoids in roots and shoots of cereal rye (Secale cereale) and their fates in soil after cover crop termination. Chemoecology. https://doi.org/10.1007/s00049-022-00371-x.

Cereal rye mulch biomass and crop density affect weed suppression and community assembly in no-till planted soybean Reprint Icon - (Peer Reviewed Journal)
Menalled, U.D., Adieux, G., Cordeau, S., Smith, R.G., Mirsky, S.B., Ryan, M.R. 2022. Cereal rye mulch biomass and crop density affect weed suppression and community assembly in no-till planted soybean. Ecosphere. 13:6.Article number e4147. https://doi.org/10.1002/ecs2.4147.

Seed shattering phenology at soybean harvest of economically important weeds in multiple regions of the United States. Part 3: Drivers of seed shatter Reprint Icon - (Peer Reviewed Journal)
Schwartz-Lazaro, L.M., Shergill, L.S., Evans, J.A., Bagavathiannan, M.V., Beam, S.C., Bish, M., Bond, J.A., Bradley, K.W., Curran, W.S., Mirsky, S.B., Davis, A.S., Everman, W.J., Flessner, M.L., Haring, S.C., Jordan, N.R., Korres, N.E., Lindquist, J.L., Norsworthy, J.K., Sanders, T.L., Steckel, L.E., Vangessel, M.J., Young, B. 2021. Seed shattering phenology at soybean harvest of economically important weeds in multiple regions of the United States. Part 3: Drivers of seed shatter. Weed Science.70:79-86. https://doi.org/10.1017/wsc.2021.74.

Gateway-node wireless data collection system for environmental sensing Reprint Icon - (Peer Reviewed Journal)
Thompson, A.I., Schomberg, H.H., Evett, S.R., Fisher, D.K., Mirsky, S.B., Reberg, C. 2021. Gateway-node wireless data collection system for environmental sensing. Agrosystems, Geosciences & Environment. https://doi.org/10.1002/agg2.20219.