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Record W2768404512 · doi:10.5376/ijms.2017.07.0043

Optimization of Cultivated Seaweed Land <i>Gracilaria sp</i> Using <i>Vertikultur</i> System

2017· article· en· W2768404512 on OpenAlex
Muhammad Hendri, Rozirwan Rozirwan, Rezi Apri

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 Marine Science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsAlgaeBotanyBiology

Abstract

fetched live from OpenAlex

The production of Gracilaria sp  is still not optimal and there are some opportunities left for production improvement by developing methods that use depth level as a planting media. A vertikultur method using bag nets is more effective and has higher production levels. This research aims to solve problems in cultivating Gracilaria sp seaweed by doing field optimization. Seaweeds were planted as many as 40 points for each 10 levels depth (BRL); 0, 70, 140, 210, 280, 350, 420, 560, and 630 cm from the surface. Environment and seaweed parameters were measured weekly. This research measures daily and weekly growth rate, absolute growth, and the total production. The data were analyzed using Anota test and BNJ further test . The research result shows that physic-chemistry water parameter is suitable for cultivating Gracilaria sp . The lowest weekly growth rate occurred in level BRL 10 in the first week while gaining weight as much as 9.351 gram/week. The highest growth rate occurred in level BRL 4 on the sixth week while gaining weight as much as 32.25 gram/week. The biggest absolute growth occurred in level BRL 4 with 214.87 gram and the lowest occurred in level BRL 10 with 161.45 gram. The biggest absolute growth rate occurred in level BR1 4 while gaining weight as much as 139.87 gram from the original weight and the lowest occurred in level BRL10 with 86.45 gram from the original weight. The best daily growth rate occurred in level BRL 4 with a growth rate of 2.53%/day and the lowest occurred in BRL 10 with 1.84%/day. Total production of Gracilaria sp from level BR1 1 – BR1 10 is 74,840 gram. The biggest production was obtained from level BRL 4 with the production of 8595 gram and the lowest in BRL 10 with 6458 gram. According to the anova test result and beda nyata jujur (BNJ), it shows that depth level (BR1 1 – BR1 10) gave no influence towards the growth rate of Gracilaria sp in the water of Kelagian Island. The vertikultur method by making use of depth level is both feasible and profitable for seaweed cultivators with production level ten times bigger.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0030.002
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 head0.013
GPT teacher head0.246
Teacher spread0.234 · 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