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ARS Home » Southeast Area » Mississippi State, Mississippi » Crop Science Research Laboratory » Genetics and Sustainable Agriculture Research » Research » Research Project #445492
Research Project: Dynamic, Data-Driven, Sustainable, and Resilient Crop Production Systems for the U.S.

Location: Genetics and Sustainable Agriculture Research

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

Drought and heat stress induce differential physiological and agronomic trait responses in cotton Reprint Icon - (Peer Reviewed Journal)
Bista, M.K., Adhikari, B., Sankarapilla, L.V., Pieralisi, B., Reddy, K.R., Jenkins, J.N., Bheemanahalli, R. 2024. Drought and heat stress induce differential physiological and agronomic trait responses in cotton. Industrial Crops and Products. 222(2024):119540. https://doi.org/10.1016/j.indcrop.2024.119540.

Evidence of higher evapotranspiration in croplands than in forestlands in four Mississippi watersheds over the past decade Reprint Icon - (Peer Reviewed Journal)
Ouyang, Y., Yang, J., Huang, Y., Leininger, T.D., Chastain, D.R. 2024. Evidence of higher evapotranspiration in croplands than in forestlands in four Mississippi watersheds over the past decade. Agricultural Water Management. 302(108992):1-8. https://doi.org/10.1016/j.agwat.2024.108992.

Soil aggregate stability and erosion resistance in response to integration of cover crops and poultry litter in a no-till rainfed soybean cropping system Reprint Icon - (Peer Reviewed Journal)
Dai, W., Feng, G.G., Huang, Y., Tewolde, H., Shankle, M.W., Jenkins, J.N. 2024. Soil aggregate stability and erosion resistance in response to integration of cover crops and poultry litter in a no-till rainfed soybean cropping system. Soil & Tillage Research. 244(2024):106245. https://doi.org/10.1016/j.still.2024.106245.

Application of UAV multispectral imaging to monitor soybean growth with yield prediction through machine learning Reprint Icon - (Peer Reviewed Journal)
Shammi, S.A., Huang, Y., Feng, G.G., Tewolde, H., Zhang, X., Jenkins, J.N., Shankle, M. 2024. Application of UAV multispectral imaging to monitor soybean growth with yield prediction through machine learning. Agronomy Journal. 14(672):1-18. https://doi.org/10.3390/agronomy14040672.

Cover crops and poultry litter impact on soil structural stability in dryland soil of Southeastern United States Reprint Icon - (Peer Reviewed Journal)
Dai, W., Feng, G.G., Huang, Y., Tewolde, H., Shankle, M., Jenkins, J.N. 2024. Cover crops and poultry litter impact on soil structural stability in dryland soil of Southeastern United States. Journal of Cleaner Production. 88:1449-1462. https://doi.org/10.1002/saj2.20676.