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Record W2392183035

Study on nitrogen characteristics of coated controlled-release fertilizer with different particle sizes

2010· article· en· W2392183035 on OpenAlex
Zheng XiangZhou

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePlant Nutrition and Fertilizing Science · 2010
Typearticle
Languageen
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsnot available
Fundersnot available
KeywordsCoatingFertilizerDistilled waterGranule (geology)Substrate (aquarium)Particle sizeNitrogenChemistryCoated ureaSolubilityMaterials scienceControlled releaseChemical engineeringComposite materialNanotechnologyChromatographyOrganic chemistryBiology
DOInot available

Abstract

fetched live from OpenAlex

At present,although controlled-release fertilizer(CRFs) has stepped on the industrial scale in China,the technology of controlled release is behind that of developed countries such as USA and Canada.Qualities of CRF of different products are different.One of the reasons for the quality difference might come from the difference of substrate of CRF,being kernel compounds of the CRF. Currently,most of researches on CRF pay great attention to the coating materials and coating technique rather than the substrate.The previous study of the authors has found that particle sizes and its distribution of the substrate affected greatly on the longevity,being a quality parameter of controlled release fertilizers.The CRFs used in this study were a resin coated Kemira Grow-How NPK(15-15-15) granule which is manufactured by Planta Controlled Release Company.The substrate was mixed based on the real proportion of particle size distribution of the commercial products.Amount of coating material is 7.7% of the substrate. Then the CRFs were divided into three groups of 23mm,34 mm and 45 mm,and incubated in distilled water with a ratio of fertilizer to water of 1∶20 for 0,1,2,3,4,5,6,7,14,21,28 and 56 days under constant temperature at 25℃±1℃,respectively.The ammonium and nitrate were determined at the given time to evaluate the effect of granule size on the nitrogen release rate(NRR).Results showed that the NRR and initial solubility are decreased with the increase of the substrate particle sizes.However,the longevity of CRF is increased with the substrate particle size.The NRR after 24 h incubation was 26.9%,4.45% and 1.26% for CRF with a particle size of 2 to 3,3 to 4 and 4 to 5 mm,respectively.The longevity is 4 d,28 d and 56 d for CRF with a particle size of 2 to 3,3 to 4 and 4 to 5 mm separately.During the early stage of incubation,nitrogen released mainly from CRF which particle size is smaller than 3 mm,whereas the later stage is from CRF which particle size is bigger than 3 mm.The ratio of coating material to substrate is increased with increase of the particle size.The ratio of coating material to substrate of CRF with particle size of 2 to 3 mm is decreased by 15.58% and that of 3 to 4 mm decreased by 4.29%.Nevertheless,the ratio of coating material to substrate of CRF with particle size of 4 to 5 mm is increased by 5.65%. Therefore,the substrate evenly distributed in particle size is one of the most important factors affecting quality of CRFs.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.374

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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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