Corn nitrogen rate recommendation tools’ performance across eight US midwest corn belt states

dc.contributor.author Ransom, Curtis
dc.contributor.author Kitchen, Newell
dc.contributor.author Sawyer, John
dc.contributor.author Camberato, James
dc.contributor.author Carter, Paul
dc.contributor.author Ferguson, Richard
dc.contributor.author Fernández, Fabián
dc.contributor.author Franzen, David
dc.contributor.author Laboski, Carrie
dc.contributor.author Nafziger, Emerson
dc.contributor.author Sawyer, John
dc.contributor.author Scharf, Peter
dc.contributor.author Shanahan, John
dc.contributor.department Agronomy
dc.date 2020-01-14T22:16:16.000
dc.date.accessioned 2020-06-29T23:06:39Z
dc.date.available 2020-06-29T23:06:39Z
dc.date.issued 2020-01-01
dc.description.abstract <p>Determining which corn (<em>Zea mays</em> L.) N fertilizer rate recommendation tools best predict crop N need would be valuable for maximizing profits and minimizing environmental consequences. Simultaneous comparisons of multiple tools across various environmental conditions have been limited. The objectives of this research were to evaluate the performance of publicly‐available N fertilizer recommendation tools across diverse soil and weather conditions for: (i) prescribing N rates for planting and split‐fertilizer applications, and (ii) economic and environmental effects. Corn N‐response trials using standardized methods were conducted at 49 sites, spanning eight US Midwest states and three growing seasons. Nitrogen applications included eight rates in 45 kg N ha−1 increments all at‐planting and matching rates with 45 kg N ha−1 at‐planting plus at the V9 development stage. Tool performances were compared to the economically optimal N rate (EONR). Over this large geographic region, only 10 of 31 recommendation tools (mainly soil nitrate tests) produced N rate recommendations that weakly correlated to EONR (<em>P</em> ≤ .10; <em>r</em>2 ≤ .20). With other metrics of performance, the Maximum Return to N (MRTN) soil nitrate tests, and canopy reflectance sensing came close to matching EONR. Economically, all tools but the Maize‐N crop growth model had similar returns compared to EONR. Environmentally, yield goal based tools resulted in the highest environmental costs. Results show that no tool was universally reliable over this study's diverse growing environments, suggesting that additional tool development is needed to better represent N inputs and crop utilization at a larger regional level.</p>
dc.description.comments <p>This article is published as Ransom, Curtis J., Newell R. Kitchen, James J. Camberato, Paul R. Carter, Richard B. Ferguson, Fabián G. Fernández, David W. Franzen et al. "Corn nitrogen rate recommendation tools’ performance across eight US midwest corn belt states." <em>Agronomy Journal </em>(2020). doi: <a href="https://doi.org/10.1002/agj2.20035">10.1002/agj2.20035</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/agron_pubs/622/
dc.identifier.articleid 1671
dc.identifier.contextkey 16210809
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath agron_pubs/622
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/4994
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/agron_pubs/622/2020_Sawyer_CornNitrogen.pdf|||Sat Jan 15 01:18:46 UTC 2022
dc.source.uri 10.1002/agj2.20035
dc.subject.disciplines Agricultural and Resource Economics
dc.subject.disciplines Agriculture
dc.subject.disciplines Environmental Studies
dc.subject.disciplines Soil Science
dc.title Corn nitrogen rate recommendation tools’ performance across eight US midwest corn belt states
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 17ce8a78-56b3-47be-abcb-b22968be40f2
relation.isOrgUnitOfPublication fdd5c06c-bdbe-469c-a38e-51e664fece7a
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