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Record W7072155166

Typha Growing Media

2024· other· en· W7072155166 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2024
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPottingTyphaGerminationPeatOrnamental plant
DOInot available

Abstract

fetched live from OpenAlex

The indoor floricultural industry faces increasing pressure to reduce its reliance on current unsustainable resources, such as peat and coco coir, for use in soilless potting mixes. Typha, commonly known as cattails, may represent a more sustainable alternative for the cultivation of ornamental plants and flowers. Its suitability is further justified by the local availability, quick grow time, and harvesting benefits of these wetland plants in Manitoba. Three distinct growing media have been designed by subjecting existing shredded Typha plants to specific combinations of three processing methods. These methods have individually been shown to mitigate the challenges with previously tested Typha-based media, as cited in literature, such as a low water holding capacity and high nitrogen immobilization. The benefits of each are as follows: • Composting, to increase the available nitrogen for plant uptake, • Milling, to reduce the particle size, and • Pasteurizing, to eliminate pathogens. The proposed Typha Media Designs incorporate these processing methods to investigate their unique benefits. The three Media Designs are as follows: 1. Media Design 1 (MD1): [REDACTED] 2. Media Design 2 (MD2): [REDACTED] 3. Media Design 3 (MD3): [REDACTED] Verification of the success of each Media Design was assessed by 11 passing criteria, or technical specifications, selected based on the properties of peat and other commonly used growing media. None of the three Media Designs passed all criteria; however, [REDACTED] showed the greatest overall improvement when compared to unprocessed, shredded Typha. Alongside the verification testing, germination and grow trials were performed to further validate the results, utilizing a peat-perlite mix as the control. In the germination trials, media containing [REDACTED] performed best with higher numbers of germinated plants. Varying trends were observed in the grow trials. The trial conducted in a vertical hydroponic wall, which accommodated the media in net cups with a diameter of two inches, exhibited the best results in [REDACTED] and [REDACTED] , while the other, conducted in a greenhouse, displayed better outcomes in [REDACTED]. Moving forward, further research into composted Typha-based media is recommended, including testing growth in larger commercial plant pots, [REDACTED], an assessment of a flower’s full growth cycle solely in Typha-based media, and a full project cost-benefit analysis to ensure economic viability. The results from technical specification testing, germination trials, and grow trials show that, while this Typha-based media does not entirely replicate peat, it may be a viable option for use as a soilless growing media. Testing based on the proposed recommendations will further the success of this media as it nears entry into the market as a local and sustainable growing media for floriculture growers.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.018
GPT teacher head0.176
Teacher spread0.158 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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