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Record W2547089725 · doi:10.5539/jas.v8n12p197

The Influence of Lime and Nitrogen Fertilizer on Soil Acidity, Growth and Nitrogen Uptake of Corn in Total Reclaimed Potential Acid Sulphate Soil

2016· article· en· W2547089725 on OpenAlexvenueno aff
Yuli Lestari, Azwar Maas, Benito Heru Purwanto, Sri Nuryani Hidayah Utami

Bibliographic record

VenueJournal of Agricultural Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAluminum toxicity and tolerance in plants and animals
Canadian institutionsnot available
Fundersnot available
KeywordsSoil pHChemistryLimeNitrogenLeaching (pedology)DolomiteAgronomyFertilizerChicken manureManureSoil acidificationRandomized block designSoil waterEnvironmental scienceMineralogyBiologySoil science

Abstract

fetched live from OpenAlex

This study aims to determine the effect of lime and nitrogen fertilizer on soil acidities characters, growth and nitrogen uptake of corn in total reclaimed of potential acid sulphate soil. A pot experiment with a completely randomized design arranged in factorial with three replications was conducted in the Greenhouse of Indonesian Swampland Agricultural Research Institute (ISARI) from August 2014 to December 2015. The first factor was the rate of lime as dolomite: (i) 25 t ha-1, and (ii) 37.5 t ha-1. The second factor was the type of nitrogen fertilizer: (a) control (without N), (b) nitrogen 115 kg ha-1, (c) chicken manure 6 t ha-1 (the total N content is 1.98%) and (d) nitrogen 57.5 kg ha-1 + 3 t ha-1 chicken manure. Urea (N content is 39.76%) was used for fertilization. The observed variables were the soil acidities properties (pH, Electrical conductivity/EC, available-H, available-Al) before, after total reclamation, and at the maximum vegetative stage of corn, plant growth and uptake of shoot nitrogen. The results showed that the process of consecutively aeration-leaching of the potential acid sulphate soils able to increase the soil pH, declining the EC value, as well as availabe bases, available-H, available-Al and the content of pyrite. The application of dolomite increased soil pH, EC, and available-H, while available-Al decreased, its effect was more pronounced in higher rate. Application of dolomite 25 t ha-1 and 37.5 t ha-1 respectively increased soil pH from 3.29 to 4.36 and 4.87, EC from 0.70 mS cm-1 to 1.51 mS cm-1, available-H from 1.30 cmol(+) kg-1 to 2.68 cmol(+) kg-1 and 1.44 cmol(+) kg-1 and decreased available-Al from 14.04 cmol(+) kg-1 to 4.71 cmol(+) kg-1 and 2.66 cmol(+) kg-1. However, these rates was not able to neutralize the existing acidity due to the acidity still being produced out of remaining pyrite which was still in active stages. It was showed increasing pH soil followed by EC. The interaction between the application of dolomite and nitrogen fertilizer is significantly influenced plant height and shoot N uptake. The highest plant height and shoot N uptake were 112 cm and 267.69 mg plant-1 respectively, were obtained in application dolomite 25 t ha-1 combined with nitrogen 57.5 kg ha-1 plus chicken manure 3 t ha-1. The highest of averages shoot and root dry weight was 20.97 g and 6.40 g respectively which were obtained in the application of nitrogen 57.5 kg ha-1 + chicken manure 3 t ha-1.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.208
Teacher spread0.196 · 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 designBench or experimental
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".

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Citations10
Published2016
Admission routes1
Has abstractyes

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