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ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » People & Locations » Curtis Ransom

Curtis J Ransom (PhD)
Cropping Systems and Water Quality Research
Research Soil Scientist

Phone: (573) 882-9823
Fax: (573) 882-1115
Room 257

AGRICULTURE ENGR BLDG
UNIVERSITY OF MISSOURI
COLUMBIA, MO 65211

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Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
A new perspective when examining maize fertilizer nitrogen use efficiency, incrementally Reprint Icon - (Peer Reviewed Journal)
Kitchen, N.R., Ransom, C.J., Schepers, J.S., Hatfield, J.L., Massey, R., Drummond, S.T. 2022. A new perspective when examining maize fertilizer nitrogen use efficiency, incrementally. PLoS ONE. 17(5):e0267215. https://doi.org/10.1371/journal.pone.0267215.
Can soil health metrics improve soil fertility recommendations in Missouri corn production? - (Proceedings)
Svedin, J., Ransom, C.J., Kitchen, N.R., Veum, K.S., Anderson, S. 2022. Can soil health metrics improve soil fertility recommendations in Missouri corn production?. Proceedings of the 2022 Great Plains Soil Fertility Conference, March 8-9, 2022, Denver, Colorado. p. 286-292. Available: https://greatplainssoilfertility.org/files/2022_GPSFC_Proceedings.pdf
Corn nitrogen nutrition index prediction improved by integrating genetic, environmental, and management factors with active canopy sensing using machine learning Reprint Icon - (Peer Reviewed Journal)
Li, D., Miao, Y., Ransom, C.J., Bean, G.M., Kitchen, N.R., Fernandez, F.G., Sawyer, J.E., Camberato, J.J., Carter, P., Ferguson, R.B., Franzen, D.W., Laboski, C.A., Nafziger, E.D., Shanahan, J. 2022. Corn nitrogen nutrition index prediction improved by integrating genetic, environmental, and management factors with active canopy sensing using machine learning. Remote Sensing. 14(2):394. https://doi.org/10.3390/rs14020394.
U.S. Midwest corn nitrogen fertilize response data set made publicly available - (Abstract Only)
Ransom, C.J., Clark, J., Bean, G., Bandura, C., Shafer, M., Kitchen, N.R., Camberato, J., Carter, P., Ferguson, R., Fernandez, F., Myers, D., Nafziger, E., Sayer, J., Shanahan, J. 2021. U.S. Midwest corn nitrogen fertilize response data set made publicly available [abstract]. ASA-CSSA-SSSA Annual International Conference, November 7-10, 2021, Salt Lake City, Utah. Available: https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/134258
Integrating soil biological properties to improve corn fertilizer recommendations - (Abstract Only)
Svedin, J., Ransom, C.J., Veum, K.S., Anderson, S.H., Kitchen, N.R. 2021. Integrating soil biological properties to improve corn fertilizer recommendations [abstract]. ASA-CSSA-SSSA Annual International Conference, November 7-10, 2021, Salt Lake City, Utah. Available: https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/134684
Is EONR the right target for corn nitrogen fertilizer management? - (Abstract Only)
Kitchen, N.R., Ransom, C.J., Schepers, J.S., Hatfield, J.L., Massey, R., Drummond, S.T. 2021. Is EONR the right target for corn nitrogen fertilizer management? [abstract]. ASA-CSSA-SSSA Annual International Conference, November 7-10, 2021, Salt Lake City, Utah. Available: https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/135099
Can soil health metrics improve standard soil fertility recommendations? - (Proceedings)
Svedin, J., Kitchen, N.R., Ransom, C.J., Veum, K.S., Anderson, S. 2021. Can soil health metrics improve standard soil fertility recommendations?. In: Proceedings North Central Extension Industry Soil Fertility Conference, November 17-18, 2021, Des Moins, Iowa. Available: https://www.greatplainssoilfertility.org/proceedings/?action=abstract&id=8591&title=Can+Soil+Health+Metrics+Improve+Standard+Soil+Fertility+Recommendations%3F+&search=types
Exploring seasonal soil microbiome under corn production as influenced by soil order and nitrogen fertilization - (Abstract Only)
Yost, M., Sullivan, M., Chaston, J., Ransom, C.J., Geary, B., Veum, K.S., Kitchen, N.R. 2021. Exploring seasonal soil microbiome under corn production as influenced by soil order and nitrogen fertilization [abstract]. ASA-CSSA-SSSA Annual International Conference, November 7-10, 2021, Salt Lake City, Utah. Poster No. 1275. Available: https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/138017
Soil hydrologic grouping guide which soil and weather properties best estimate corn nitrogen need Reprint Icon - (Peer Reviewed Journal)
Bean, G.M., Ransom, C.J., Kitchen, N.R., Scharf, P.C., Veum, K.S., Camberato, J.J., Ferguson, R.B., Fernandez, F.G., Franzen, D.W., Laboski, C.A., Nafziger, E.D., Sawyer, J.E., Nielsen, R.L. 2021. Soil hydrologic grouping guide which soil and weather properties best estimate corn nitrogen need. Agronomy Journal. 113(6):5541-5555. https://doi.org/10.1002/agj2.20888.
Data from a public–industry partnership for enhancing corn nitrogen research Reprint Icon - (Research Notes)
Ransom, C.J., Clark, J., Bean, G.M., Bandura, C., Schafer, M., Kitchen, N.R., Camberato, J.J., Ferguson, R.B., Fernandez, F.G., Franzen, D.W. 2021. Data from a public–industry partnership for enhancing corn nitrogen research. Agronomy Journal. https://doi.org/10.1002/agj2.20812.
Improving publicly available corn nitrogen rate recommendation tools with soil and weather measurements Reprint Icon - (Peer Reviewed Journal)
Ransom, C.J., Kitchen, N.R., Sawyer, J.E., Camberato, J.J., Carter, P.R., Ferguson, R.B., Fernandez, F.G., Franzen, D.W., Laboski, C.A., Myers, B.D., Nafziger, E.D., Shanahan, J.F. 2021. Improving publicly available corn nitrogen rate recommendation tools with soil and weather measurements. Agronomy Journal. 113(2):2068-2090. https://doi.org/10.1002/agj2.20627.
A new approach for balancing the economic and environmental outcomes for crop nitrogen fertilization - (Abstract Only)
Kitchen, N.R., Ransom, C.J., Schepers, J.S., Holland, K.H. 2020. A new approach for balancing the economic and environmental outcomes for crop nitrogen fertilization [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts, Nov 9-13, 2020, virtual meeting. Available: https://scisoc.confex.com/scisoc/2020am/meetingapp.cgi/Paper/125052
Developing an innovative in-season and site-specific nitrogen recommendation strategy with machine learning for US Midwest corn production - (Abstract Only)