Predicting Economic Optimal Nitrogen Rate with the Anaerobic Potentially Mineralizable Nitrogen Test. (1st November 2019)
- Record Type:
- Journal Article
- Title:
- Predicting Economic Optimal Nitrogen Rate with the Anaerobic Potentially Mineralizable Nitrogen Test. (1st November 2019)
- Main Title:
- Predicting Economic Optimal Nitrogen Rate with the Anaerobic Potentially Mineralizable Nitrogen Test
- Authors:
- Clark, Jason D.
Fernández, Fabián G.
Veum, Kristen S.
Camberato, James J.
Carter, Paul R.
Ferguson, Richard B.
Franzen, David W.
Kaiser, Daniel E.
Kitchen, Newell R.
Laboski, Carrie A. M.
Nafziger, Emerson D.
Rosen, Carl J.
Sawyer, John E.
Shanahan, John F. - Abstract:
- Abstract : Estimates of mineralizable N with the anaerobic potentially mineralizable N (PMNan ) test could improve predictions of corn ( Zea mays 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 PMNan . Treatment factors included different soil sample timings (pre‐plant and V5 development stage), planting N rates (0 and 180 kg N ha −1 ), and incubation lengths (7, 14, and 28 d) with and without initial soil NH4 –N included with PMNan . Soil was sampled (0–30 cm depth) before planting and N application and at V5 where 0 or 180 kg N ha −1 were applied at planting. Evaluating across all soils, PMNan was a weak predictor of EONR ( R 2 ≤ 0.08; RMSE, ≥67 kg N ha −1 ), but the predictability improved (15%) when soils were grouped by texture. Using PMNan and initial soil NH4 –N as separate explanatory variables improved EONR predictability (11–20%) in fine‐textured soils only. Delaying PMNan sampling from pre‐plant to V5 regardless of N fertilization improved EONR predictability by 25% in only coarse‐textured soils. Increasing PMNan incubations beyond 7 d modestly improved EONR predictability ( R 2 increased ≤0.18, and RMSE was reduced ≤7 kg N ha −1 ). Alone, PMNan predicts EONR poorly, and the improvements from partitioning soils by texture and including initial soil NH4 –N were relatively low ( R 2 ≤ 0.33; RMSE ≥ 68 kg N ha −1 ) compared with other tools for NAbstract : Estimates of mineralizable N with the anaerobic potentially mineralizable N (PMNan ) test could improve predictions of corn ( Zea mays 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 PMNan . Treatment factors included different soil sample timings (pre‐plant and V5 development stage), planting N rates (0 and 180 kg N ha −1 ), and incubation lengths (7, 14, and 28 d) with and without initial soil NH4 –N included with PMNan . Soil was sampled (0–30 cm depth) before planting and N application and at V5 where 0 or 180 kg N ha −1 were applied at planting. Evaluating across all soils, PMNan was a weak predictor of EONR ( R 2 ≤ 0.08; RMSE, ≥67 kg N ha −1 ), but the predictability improved (15%) when soils were grouped by texture. Using PMNan and initial soil NH4 –N as separate explanatory variables improved EONR predictability (11–20%) in fine‐textured soils only. Delaying PMNan sampling from pre‐plant to V5 regardless of N fertilization improved EONR predictability by 25% in only coarse‐textured soils. Increasing PMNan incubations beyond 7 d modestly improved EONR predictability ( R 2 increased ≤0.18, and RMSE was reduced ≤7 kg N ha −1 ). Alone, PMNan predicts EONR poorly, and the improvements from partitioning soils by texture and including initial soil NH4 –N were relatively low ( R 2 ≤ 0.33; RMSE ≥ 68 kg N ha −1 ) compared with other tools for N fertilizer recommendations. Core Ideas Anaerobic potentially mineralizable N (PMNan ) is a weak predictor of economic optimal N rate (EONR). Predictability of EONR by PMNan improves when accounting for soil texture. For coarse‐textured soils, PMNan at V5 improves EONR predictability. Increasing incubation length does not substantially improve EONR predictability. PMNan alone is not a reliable management tool for N rate determination. … (more)
- Is Part Of:
- Agronomy Journal. Volume 111:Number 6(2019)
- Journal:
- Agronomy Journal
- Issue:
- Volume 111:Number 6(2019)
- Issue Display:
- Volume 111, Issue 6 (2019)
- Year:
- 2019
- Volume:
- 111
- Issue:
- 6
- Issue Sort Value:
- 2019-0111-0006-0000
- Page Start:
- 3329
- Page End:
- 3338
- Publication Date:
- 2019-11-01
- Subjects:
- Agronomy -- Periodicals
630 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.2134/agronj2019.03.0224 ↗
- Languages:
- English
- ISSNs:
- 0002-1962
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24647.xml