MétaCan
Menu
Back to cohort
Record W4372352999 · doi:10.18280/ijdne.180211

The Effect of Poultry Manure Organic Fertilizer Types and Doses to the Growth and Production of Shallot (Allium ascalonium L.)

2023· article· en· W4372352999 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Design & Nature and Ecodynamics · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicShallot Cultivation and Analysis
Canadian institutionsnot available
FundersUniversitas Siliwangi
KeywordsAlliumProduction (economics)FertilizerManureOrganic fertilizerToxicologyOrganic productionBiotechnologyMathematicsEnvironmental scienceAgricultural scienceAgronomyAgricultural engineeringBiologyEngineeringHorticultureOrganic farmingAgricultureEconomicsEcology

Abstract

fetched live from OpenAlex

The demand for shallots, which has been increasing over time, has not been met by increased production.The usage or provision of organic fertilizer based on poultry manure is one of the efforts that may boost shallot production both in terms of quality and quantity.The study aimed to see how the type and dose of organic poultry manure affected shallot development and yield (Allium ascalonicum L.).The study utilized a factorial randomized block design (RBD) with two factors: the type of organic poultry manure (Chicken, Duck, and Quail), and the dose of manure, (10 t ha -1 , 15 t ha -1 , and 20 t ha -1 ).Repeated each treatment four times for a total of 36 experimental plots.The results revealed plant height parameters at 42 days after planting (DAP), number of leaves at 28 and 42 days after planting (DAP), number of tubers, and fresh weight of shallots per clump.The new importance of shallots per plot, dry weight per clump, and dry weight per hectare were all affected by the type and dose of organic poultry manure.The combination of treatment with 10 t ha -1 of organic chicken fertilizer had the best effect on all observation metrics.The research contribution and innovation in the use of types and doses of microorganisms fermented poultry manure is expected to improve soil quality, provide easily available nutrients for shallot plants, reduce environmental pollution, reduce production costs of inorganic fertilizers, sustainable and eco-friendly agriculture.In the future, more research can be conducted to determine the specific types of microorganisms involved in the fermentation process, which can help increase the effectiveness of organic fertilizers.The effect of different environments on the effectiveness of organic fertilizers can be tested in order to assist farmers in selecting the type and dosage of organic fertilizer that is best suited to their environmental conditions.Furthermore, soil health research can be conducted, specifically how organic fertilizers can improve soil quality and increase agricultural productivity.This research does not explain in detail the organic fertilizer fermentation process which requires a long time, so it requires careful planning and preparation.Climatic influences, such as temperature and humidity, can affect the effectiveness of microorganisms fermented poultry manure organic fertilizer.The use of microorganisms fermented poultry manure organic fertilizer depends on the availability of raw materials, such as poultry manure.Microorganisms fermented poultry manure organic fertilizer may only be suitable for certain crops.The use of poultry manure organic fertilizer at a dose of 10 t ha -1 can increase the dry weight yield of shallots by 9,81 t ha -1 when compared to other treatments.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.089

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 head0.008
GPT teacher head0.237
Teacher spread0.229 · 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