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Record W2597442029 · doi:10.1139/cjps-2014-039

Nitrogen availability from dairy cow dung and urine applied to forage grasses in eastern Canada

2015· article· en· W2597442029 on OpenAlexaffabout
Gilles Bélanger, Philippe Rochette, Martin H. Chantigny, Noura Ziadi, Denis A. Angers, Édith Charbonneau, D. Pellerin, Liang Chang

Bibliographic record

VenueBioOne Complete (BioOne) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsEnvironment and Climate Change CanadaUniversité LavalAgriculture and Agri-Food Canada
Fundersnot available
KeywordsForageLoamAgronomyGrazingDry matterAnimal scienceCow dungUrineBiologySoil waterEcologyFertilizer

Abstract

fetched live from OpenAlex

Bélanger, G., Rochette, P., Chantigny, M., Ziadi, N., Angers, D., Charbonneau, E., Pellerin, D. and Liang, C. 2015. Nitrogen availability from dairy cow dung and urine applied to forage grasses in eastern Canada. Can. J. Plant Sci. 95: 55-65. Nitrogen availability from dung and urine excreted by dairy cows has been studied extensively but few studies have been conducted in areas with short growing seasons and cold winters. We assessed N availability from dairy cow urine and dung applied to forage grasses under the cool conditions of eastern Canada, with a focus on soil- and plant-based indicators. The experiment was conducted with timothy (Phleum pratense L.)-dominated swards on two soil types (clay, sandy loam) with three periods of application (mid-September, early June, early July) and four treatments: Control, Dung (1.75 kg fresh weight m-2), Diluted urine (U-50; 50 g N m-2), and Urine (U-100; 100 g N m-2) from lactating cows. Dry matter (DM) yield and N concentration were measured from several successive clippings. Ion exchange membranes (IEM) and crop N nutrition index (NNI) were used, respectively, as soil-based and plant-based indicators of N availability. Relative cumulative DM yields, calculated as cumulative DM yield over all clippings for a given treatment divided by maximum cumulative DM yield among the four treatments, increased from Control (clay: 31 - 69%; sandy loam: 21-63%) to Dung (clay: 39-84%; sandy loam: 46-86%) and U-50 (clay: 81-83%; sandy loam: 78-100%). Relative values of cumulative N uptake were close to those of DM yields. The percentage of applied N taken up by the crop from all clippings was greater with urine (8-28%) than with dung (3-12%) on both soil types. Nitrogen from dung and urine was available to timothy at all periods of application, but urine N availability was greater than that of dung N. Nitrogen exposure, calculated as cumulative mineral N on IEMs, and NNI were both related to relative DM yield (R2>0.61; P<0.001), confirming their capacity to assess N availability to forage grasses receiving dung and urine excreted by dairy cows.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.153
GPT teacher head0.222
Teacher spread0.068 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2015
Admission routes2
Has abstractyes

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