"Reassessing nitrogen management for maize production in Mississippi" by Camden Dawson Oglesby
 

Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Dhillon, Jagmandeep

Committee Member

Fox, Amelia

Committee Member

Singh, Gurbir

Committee Member

Ferguson, Connor

Date of Degree

12-9-2022

Document Type

Graduate Thesis - Open Access

Major

Agronomy

Degree Name

Master of Science (M.S.)

College

College of Agriculture and Life Sciences

Department

Department of Plant and Soil Sciences

Abstract

12 N treatments in 2020 and 11 in 2021 were replicated four times over four locations in a randomized complete block design. The first research tested the efficacy of CYG for Mississippi corn (Zea mays L.) production. The optimum N rates were calculated by fitting four models. Differences between the CYG rate and AONR were compared. AONR varied from 134 to 301 kg N ha–1 at different management levels. When we compared the AONR to the CYG rate, the CYG rate over-recommended N in 12 of the 14 possible comparisons. The second study compared different VIs, methods, and sensors at various corn stages to predict in-season yield potential. Relative VI measurements were superior for grain yield prediction. MicaSense best predicted yield at the VT-R1 stages, Crop Circle and SPAD at VT, and GreenSeeker at V10. When VIs were compared, SCCCI outperformed other VIs.

Share

COinS