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Record W4285707547 · doi:10.5539/jas.v14n8p30

Influence of Biochar, Rock Phosphate, and Urea Nitrogen Fertilizer on Growth and Yield of Cucumber (Cucumis sativus) Grown in Standoff, Southern Alberta Greenhouse

2022· article· en· W4285707547 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Agricultural Science · 2022
Typearticle
Languageen
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsRed Crow Community College
Fundersnot available
KeywordsBiocharUreaPhosphoriteFertilizerPhosphorusChemistryAmendmentCucumisAnimal scienceNitrogenHorticulturePhosphateAgronomyGreenhouseBiology

Abstract

fetched live from OpenAlex

Two trials were performed in greenhouse Standoff, Southern Alberta to investigate urea, rock phosphate, and biochar soil amendment on cucumber crops. The objective of the study was to confirm the effectiveness of rock phosphate and biochar with urea on greenhouse cucumber production. Two experiments were conducted in the Summer of 2020 and 2021 cropping seasons. The treatments applied in 2020 were the varying application of rock phosphate at 0 for control, 50 kg P ha-1 and 100 kg P ha-1 for phosphorus, and urea at 60 kg N ha-1 and 90 kg N ha-1 for nitrogen with their combinations N60 + P50, N90 + P100. In the 2021 cropping season, treatments applied were varying levels of Biochar (C) applied at a rate of 25 kg ha-1 (LC), 50 kg ha-1 (MC), and 100 kg ha-1 HC for Low, Medium, and High level, respectively, Urea (N) was applied at 30 kg N ha-1 and 60 kg N ha-1 (Low N and High N level, respectively) while rock phosphate (P) was applied at 25 kg P ha-1 and 50 kg P ha-1 (Low P and High P level, respectively) with their combinations. The seven treatments for each cropping season were replicated three times resulting in twenty-one experimental pots. The agronomical parameters data collected were subjected to one-way univariate analysis of variance using Duncan’s Multiple Range Test at 5% to separate the treatment means. The results of the experiment showed that High P and Low N treated pots influenced the growth of cucumber crop at 122 days after sowing (DAS) while High N, Low N, and Low N + Low P jointly favored the highest number of cucumbers on the vines than other treated pots at 82 DAS during the 2020 cropping season. However, all the treatments supported cucumber vine length except control and High P at 96 DAS while Low P + MC, High P, and High N+ P produced more fruits than control, High N and Low N + P + HC treatments at 96 DAS during the 2021 cropping season. It was observed that the addition of biochar in the 2021 cropping season influenced the growth and yield of cucumber when compared performance of cucumber crops in two growing seasons. This experiment advocates the use of biochar soil amendment in cucumber production.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.006
GPT teacher head0.192
Teacher spread0.185 · 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