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Record W2372867135

The Evolution of Farmland Fertilization and Manage Tactics in Haian

2009· article· en· W2372867135 on OpenAlexaff
Ding HuaPing, Bin Chen, JI Ying-ming, JI Xun-feng, Zhong Chong-ping

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsFertilizerPhosphorusHuman fertilizationManurePotashOrganic fertilizerPotassiumAgronomyEnvironmental scienceAgricultureSoil fertilityChicken manureOrganic matterChemistryBiologySoil waterEcologySoil science
DOInot available

Abstract

fetched live from OpenAlex

The evolution of farmland fertilization and the effect on soil fertility from 1950 to 2005 was studied based on peasant household investigation and macro-analysis,and fixed field monitor and general survey in Haian county,Jiangsu province. It indicated that fertilization constitution in Haian county developed from the one predominating in organic fertilizer in the early PCR into the present one with a combination of organic-inorganic fertilizer,in which the proportion of inorganic fertilizer being slightly higher than organic one. The ratio of chemical nitrogen (N)∶phosphorus (P2O5)∶potassium (K2O) varied from 1∶0∶0 to 1∶0.2∶0.21. The total amount of fertilizer increased 32.2 times,and the amount of phosphorus and potassium increased significantly. The main fertility indicators such as organic matter,total nitrogen,available phosphorus and available potassium increased steadily. Due to the increase of chicken manure application,enrichment effect of phosphorus is significant. Henceforth,more attention should be paid to apply potassium fertilizer and high quality organic fertilizer in order to enforce quality management of cultivated land and realize agricultural sustainable development.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.070

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 head0.002
GPT teacher head0.166
Teacher spread0.164 · 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 teacher head, 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

Citations0
Published2009
Admission routes1
Has abstractyes

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