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ARS Home » Southeast Area » Stoneville, Mississippi » Crop Genetics Research » Research » Research Project #441689

Research Project: Practices for Management of Predominant Nematodes and Fungal Diseases for Sustainable Soybean Production

Location: Crop Genetics Research

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

Long-term integration of bahiagrass into a cover-cropped and strip-tilled peanut-cotton rotation has a limited effect on soil carbon and fertility Reprint Icon - (Research Notes)
Maltais-Landry, G., James, M., Wilson, C., Schumacher, L.A., Grabau, Z., Sidhu, S., George, S. 2023. Long-term integration of bahiagrass into a cover-cropped and strip-tilled peanut-cotton rotation has a limited effect on soil carbon and fertility. Soil Science Society of America Journal. https://doi.org/10.1002/saj2.20602.

Cover crop and crop rotation effects on tissue and soil population dynamics of Macrophomina phaseolina and yield under no-till system Reprint Icon - (Peer Reviewed Journal)
Mengistu, A., Read, Q.D., Sykes, V., Kelly, H., Kharel, T.P., Bellaloui, N. 2024. Cover crop and crop rotation effects on tissue and soil population dynamics of Macrophomina phaseolina and yield under no-till system. Plant Disease. 108:302-310. https://doi.org/10.1094/PDIS-03-23-0443-RE.

Development of 'TN16-520R1': A drought-tolerant soybean cultivar with glyphosate resistance Reprint Icon - (Peer Reviewed Journal)
Smallwood, C.J., Shekoofa, A., Allen, F.L., Pantalone, V.R. 2024. Development of 'TN16-520R1': A drought-tolerant soybean cultivar with glyphosate resistance. Journal of Plant Registrations. https://doi.org/10.1002/plr2.20326.

Drought, heat, and management interact to affect soil carbon and nitrogen losses in a temperate, humid climate Reprint Icon - (Peer Reviewed Journal)
Lazicki, P.A., Lee, J., Mengistu, A., Jagadamma, S. 2023. Drought, heat, and management interact to affect soil carbon and nitrogen losses in a temperate, humid climate. Applied Soil Ecology. https://doi.org/10.1016/j.apsoil.2023.104947.

Susceptibility of seven strawberry cultivars to Belonolaimus longicaudatus and interaction with Phytophthora cactorum Reprint Icon - (Peer Reviewed Journal)
Oliveira, C.J., Van Santen, E., Marin, M., Schumacher, L.A., Peres, N.A., Desaeger, J. 2023. Susceptibility of seven strawberry cultivars to Belonolaimus longicaudatus and interaction with Phytophthora cactorum. Nematology. 2023:1-12. https://doi.org/10.1163/15685411-bja10237.

The impact of cover crop management decisions on nematode reproduction rates Reprint Icon - (Abstract Only)
Pate, S.N., Kelly, H.M., Schumacher, L.A. 2023. The impact of cover crop management decisions on nematode reproduction rates. Phytopathology. 113:51.11. https://doi.org/10.1094/PHYTO-113-1-S1.1.

Impact of cover crop implications on the soil faunal community - (Proceedings)
Pate, S.N., Kelly, H.M., Schumacher, L.A. 2023. Impact of cover crop implications on the soil faunal community. National Cotton Council Beltwide Cotton Conference, 2023 Proceedings of the Beltwide Cotton Conference. 632-637

Effects of grass-based crop rotation, nematicide, and irrigation on the nematode community in cotton Reprint Icon - (Peer Reviewed Journal)
Schumacher, L.A., Grabau, Z.J., Wright, D.L., Small, I.M., Liao, H. 2022. Effects of grass-based crop rotation, nematicide, and irrigation on the nematode community in cotton. Journal of Nematology. 54(1):3922. https://doi.org/10.2478/jofnem-2022-0046.

Charcoal rot severity and soybean yield responses to planting date, irrigation, and genotypes Reprint Icon - (Peer Reviewed Journal)
Mengistu, A., Kelly, H.M., Read, Q.D., Ray, J.D., Bellaloui, N., Schumacher, L.A. 2023. Charcoal rot severity and soybean yield responses to planting date, irrigation, and genotypes. Plant Disease. https://doi.org/10.1094/PDIS-06-22-1329-RE.

Predicting and interpreting cotton yield and its determinants under long-term conservation management practices using machine learning Reprint Icon - (Peer Reviewed Journal)
Dhaliwal, J.K., Dinesha, P., Saha, D., Lee, J., Jagadamma, S., Schaeffer, S., Mengistu, A. 2022. Predicting and interpreting cotton yield and its determinants under long-term conservation management practices using machine learning. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2022.107107.