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Record W2914526183 · doi:10.2134/agronj2018.07.0431

Urea‐Based Fertilizer as an Efficient Nitrogen Source in Perennial Cool‐Grass Forage Production

2019· article· en· W2914526183 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAgronomy Journal · 2019
Typearticle
Languageen
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsUreaUreaseAgronomyFertilizerForageCoated ureaAmmonia volatilization from ureaChemistryAmmonium nitrateCalcium nitrateAnimal scienceLoamAmmoniumBiologyCalciumSoil waterEcology

Abstract

fetched live from OpenAlex

Core Ideas Annual forage grass yields with spring‐applied polymer‐coated urea, a blend of 50% polymer‐coated urea and 50% urea, and urea treated with a urease inhibitor (NBPT) were similar to those with calcium ammonium nitrate. Forage grass yields and N and nitrate concentrations were highest with NBPT‐treated urea in spring growth and with polymer‐coated urea in summer regrowth. Economic return was greatest with NBPT‐treated urea and a blend of 50% polymer‐coated urea and 50% urea. Urea‐N fertilizers are widely used in agriculture but the efficiency of different forms has yet to be quantified for cool‐season forage grasses grown in northern areas. In a study conducted in eastern Canada during three growing seasons (2014–2016), polymer‐coated controlled release urea (PCU), a blend of 50% PCU and 50% urea, and urea treated with an inhibitor of urease (Urea+NBPT) broadcast in early spring were compared with calcium ammonium nitrate (CAN) broadcast in spring (60%) and after the first harvest (40%) on two timothy ( Phleum pratense L.) fields with contrasting soil textures (clay and loam). Fertilizers were added at rates of 50, 100, 150, and 200 kg N ha −1 and compared with an N‐unfertilized control. The three urea‐based fertilizers resulted in similar annual forage dry matter (DM) yields than CAN on the two soil types but in different forage DM yield seasonal distribution. The highest DM yield in spring growth was achieved with PCU/Urea and Urea+NBPT, while DM yields were the lowest with PCU in spring growth but highest in summer regrowth. Annual forage DM yields increased with increasing N rates for all fertilizers in both soils. Concentrations of forage N, nitrates, and non‐protein fractions were highest in spring growth after the spring application of 200 kg N ha −1 as Urea+NBPT in both soils. The N sources did not affect forage digestibility and neutral detergent fiber (NDF) concentration. Economic return was the highest for Urea+NBPT and PCU/Urea. Therefore, these urea‐based fertilizers constitute valuable alternatives to CAN for grass‐based forages under eastern Canada conditions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.206
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it