Agronomy and Horticulture, Department of
ORCID IDs
Jason D. Clark https://orcid.org/0000-0001-7793-6411
Kristen S. Veum https://orcid.org/0000-0002-6492-913X
James J. Camberato https://orcid.org/0000-0002-6677-854X
David W. Franzen https://orcid.org/0000-0003-4862-8086
Daniel E. Kaiser https://orcid.org/0000-0002-8478-701X
Newell R. Kitchen https://orcid.org/0000-0002-8478-701X
John E. Sawyer https://orcid.org/0000-0003-4080-9616
Document Type
Article
Date of this Version
2020
Citation
Agronomy Journal. 2020;112:3050–3064.
Abstract
The anaerobic potentially mineralizable N (PMN) test combined with the preplant (PPNT) and presidedress (PSNT) nitrate tests may improve corn (Zea mays L.) N fertilization predictions. Forty-nine corn N response experiments (mostly corn following soybean [Glycine max (L.) Merr.]) were conducted in the U.S. Midwest from 2014–2016 to evaluate the ability of the PPNT and PSNT to predict corn relative yield (RY) and N fertilizer over- and under-application rates when adjusted by PMN. Before planting and N fertilization, PPNT (0–30, 30–60, and 60–90 cm) and PMN (0–30 cm) samples were obtained. In-season soil samples were obtained at the V5 development stage for PSNT (0–30, 30–60 cm) in all N rate treatments and PMN (0–30 cm) in only the 0 and 180 kg N ha−1 preplant N treatments. Increasing NO3–N sampling depths beyond 30 cm with or without PMN-improved RY predictability marginally (R2 increase up to 0.20) and reduced overand under-application frequencies up to 14%. Including PMN (preplant only) with PPNT or PSNT improved RY predictability minimally (R2 increase up to 0.10) only for coarse- and medium-textured soils, but N fertilizer over- and under-application frequencies were not substantially reduced (≤12%). These marginal improvements in RY predictability and N fertilizer over- and under-application frequencies, regardless of the variables used (e.g., fertilization, sampling depth, soil texture, and growing degree-day categories), demonstrate that including PMN with soil NO3–N alone does not improve corn N fertilization need predictions enough to recommend their use.
Included in
Agricultural Science Commons, Agriculture Commons, Agronomy and Crop Sciences Commons, Botany Commons, Horticulture Commons, Other Plant Sciences Commons, Plant Biology Commons
Comments
U.S. government work