Location: Crop Genetics Research
Publications
(Clicking on the 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
- (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
- (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
- (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.
Progress and challenges in identifying resistance to soybean charcoal rot
- (Abstract Only)
Drought, heat, and management interact to affect soil carbon and nitrogen losses in a temperate, humid climate
- (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
- (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.
Cover crop and crop rotation effects on tissue and soil population dynamics of Macrophomina phaseolina and yield under no-till system.
- (Abstract Only)
The impact of cover crop management decisions on nematode reproduction rates
- (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
- (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
- (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
- (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.