Predicting Economic Optimal Nitrogen Rate with the Anaerobic Potentially Mineralizable Nitrogen Test Clark, Jason Fernández, Fabián Sawyer, John Veum, Kristen Camberato, James Carter, Paul Ferguson, Richard Franzen, David Kaiser, Daniel Kitchen, Newell Laboski, Carrie Nafziger, Emerson Rosen, Carl Sawyer, John Shanahan, John
dc.contributor.department Agronomy 2019-09-18T13:49:47.000 2020-06-29T23:06:24Z 2020-06-29T23:06:24Z 2019-01-01
dc.description.abstract <p>Estimates of mineralizable N with the anaerobic potentially mineralizable N (PMN<sub>an</sub>) test could improve predictions of corn (<em>Zea mays</em> L.) economic optimal N rate (EONR). A study across eight US midwestern states was conducted to quantify the predictability of EONR for single and split N applications by PMN<sub>an</sub>. Treatment factors included different soil sample timings (pre-plant and V5 development stage), planting N rates (0 and 180 kg N ha<sup>−1</sup>), and incubation lengths (7, 14, and 28 d) with and without initial soil NH<sub>4</sub>–N included with PMN<sub>an</sub>. Soil was sampled (0–30 cm depth) before planting and N application and at V5 where 0 or 180 kg N ha<sup>−1</sup> were applied at planting. Evaluating across all soils, PMN<sub>an</sub> was a weak predictor of EONR (<em>R</em><sup>2</sup> ≤ 0.08; RMSE, ≥67 kg N ha<sup>−1</sup>), but the predictability improved (15%) when soils were grouped by texture. Using PMN<sub>an</sub> and initial soil NH<sub>4</sub>–N as separate explanatory variables improved EONR predictability (11–20%) in fine-textured soils only. Delaying PMN<sub>an</sub> sampling from pre-plant to V5 regardless of N fertilization improved EONR predictability by 25% in only coarse-textured soils. Increasing PMN<sub>an</sub> incubations beyond 7 d modestly improved EONR predictability (<em>R</em><sup>2</sup> increased ≤0.18, and RMSE was reduced ≤7 kg N ha<sup>−1</sup>). Alone, PMN<sub>an</sub> predicts EONR poorly, and the improvements from partitioning soils by texture and including initial soil NH<sub>4</sub>–N were relatively low (<em>R</em><sup>2</sup> ≤ 0.33; RMSE ≥ 68 kg N ha<sup>−1</sup>) compared with other tools for N fertilizer recommendations.</p>
dc.description.comments <p>This article is published as Clark, Jason D., Fabián G. Fernández, Kristen S. Veum, James J. Camberato, Paul R. Carter, Richard B. Ferguson, David W. Franzen et al. "Predicting Economic Optimal Nitrogen Rate with the Anaerobic Potentially Mineralizable Nitrogen Test." <em>Agronomy Journal</em> 111 (2019): 1-10. doi: <a href="" target="_blank">10.2134/agronj2019.03.0224</a></p>
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dc.identifier archive/
dc.identifier.articleid 1640
dc.identifier.contextkey 15292828
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath agron_pubs/591
dc.language.iso en
dc.source.bitstream archive/|||Sat Jan 15 01:03:48 UTC 2022
dc.source.uri 10.2134/agronj2019.03.0224
dc.subject.disciplines Agricultural Economics
dc.subject.disciplines Agriculture
dc.subject.disciplines Soil Science
dc.title Predicting Economic Optimal Nitrogen Rate with the Anaerobic Potentially Mineralizable Nitrogen Test
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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