The Effect of Poultry Manure Organic Fertilizer Types and Doses to the Growth and Production of Shallot (Allium ascalonium L.)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".