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Record W2172980150 · doi:10.4141/cjps2011-260

Effect of <i>Ascophyllum</i> extract application on plant growth, fruit yield and soil microbial communities of strawberry

2012· article· en· W2172980150 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Plant Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth Enhancement Techniques
Canadian institutionsAgriculture and Agri-Food CanadaAcadian Seaplants (Canada)
Fundersnot available
KeywordsAscophyllumGreenhouseHorticultureBiologyCultivarYield (engineering)BotanyGrowing seasonSubstrate (aquarium)AlgaeAgronomyEcology

Abstract

fetched live from OpenAlex

Alam, M. Z., Braun, G., Norrie, J. and Hodges, D. M. 2013. Effect of Ascophyllum extract application on plant growth, fruit yield and soil microbial communities of strawberry. Can. J. Plant Sci. 93: 23–36. Plant growth and associated soil microbials were examined in several strawberry cultivars following treatment with extracts from the marine algae Ascophyllum nodosum [soluble Ascophyllum extract powder (SAEP)]. Greenhouse and field experiments were established over plots of Albion, Camarosa, Chandler, and Festival strawberries from 2009 to 2011. Soluble Ascophyllum extract powder was applied once or twice per week, or once per 2 wk at rates of 0 (control), 1, 2 or 4 g L −l over approximately 8 wk. Subsequent rooting studies examined weekly applications of SAEP at 0, 0.2, 0.4, 1 or 2 g L −1 . Results indicate that maximum plant and berry productivities were found at 1 and 2 g SAEP L −1 in both field and greenhouse. Chandler was the cultivar most responsive to SAEP application, while Albion was the least responsive. Soluble Ascophyllum extract powder increased colony counts in greenhouse and field soil samples with maximum colony counts at 4 g L −1 SAEP in the greenhouse, and 1 and 2 g L −1 SAEP in the field. Metabolic activities of soil microbes were found to increase following SAEP applications. Using the Biolog microbial analysis system, maximum average well colour development (AWCD), substrate diversity (H), substrate evenness (E), and substrate richness (S) responses were found at 4 g L −1 SAEP in the greenhouse. However, in field trials, AWCD, H, E, and S responses to extract treatment showed successive increases at 1 and 2 g L −1 SAEP, but reduced effect at 4 g L −1 . Soluble Ascophyllum extract powder treatment showed highest respiration rates between 0.10 and 0.40 g per week per plant while in vitro soil treatments with 4 g L −1 SAEP reduced microbial respiration. This study suggests that SAEP applications increased strawberry root and shoot growth, berry yield and rhizosphere microbial diversity and physiological activity.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.211
Teacher spread0.195 · 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