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Record W3015428709 · doi:10.5539/jas.v12n5p180

The Effectiviness of Organic Method for Increasing the Productivity of Oil Palm That Is Infected by Ganoderma

2020· article· en· W3015428709 on OpenAlexvenueno aff
Supeno Surija, Roderick Bastian

Bibliographic record

VenueJournal of Agricultural Science · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsFertilizerOrganic fertilizerPalm oilToxicologyEnvironmental scienceMathematicsAgricultural scienceAgronomyBiology

Abstract

fetched live from OpenAlex

The usage of organic fertilizer is expected to help developing organic plantation so that it can produce organic CPO and other organic derivate. Our study used organic fertilizer SUPER MOAF (Multi Organic Alkali Fertilizer), biopesticide and biofungiside CHIPS (Colony Highly Invasive Protection System) that is manufactured by PT. Propadu Konair Tarahubun. We conducted this study in 7 different plantation: Kecamatan Langgam, Riau block K and L with the plantation year of 2011; Kecamatan Bila Hilir, North Sumatra block DO and CO with the plantation year of 2011; Kecamatan Langgam, Riau block J and I with the plantation year of 2010; Kecamatan Long Iklis, East Kalimantan block 26 and 27 with the plantation year in 2002; Kecamatan Sei Kijang, Riau block M12 and N12 with the plantation year of 2005; Kecamatan Langgam, Riau block F and H with the plantation year of 2009; Kecamatan Teluk Dalam, North Sumatra block R and M with the plantation year of 2006. All plantation is given the same treatment: nonorganic fertilizer in control block (L, CO, I, 27, N12, H, and M) and switching from using Non-organic fertilizer to MOAF organic fertilizer in experiment block (K, DO, J, 26, M12, F, and R), this study is conducted for 4-5 years (2014-2018). The switching from nonorganic fertilizer to organic fertilizer is done in 2015, except for the oil palm that the plantation year is in 2011 is done in 2016. After switching from Non-organic to organic fertilizer, in the experiment blocks, show increasing of production (26.47%-88.33%) per Ha meanwhile the control block show increasing of production (4.21%-38.76%) per Ha. Fertilizer is given to the tree that has infected by disease, damaged, and have to be replanted because of Ganoderma invasion. Using MOAF organic method can also increase the production approximately 64.34%-110.77% from PPKS production standard in palm oil that has been infected by Ganoderma. Using MOAF fertilizer, biopesticide, and biofungiside CHIPS are not only recovering the palm oil that is expected to collapse soon because of Ganoderma infection but also maximize the production that is similar to healthy palm oil. Organic method is an efficient and effective way to help increasing the production of palm oil and environmental sustainability even in Ganoderma infection condition.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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