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Record W2416260578 · doi:10.5539/jas.v8n7p54

A Research on Production of Rocket and Parsley in Floating System

2016· article· en· W2416260578 on OpenAlexvenueno aff
Hale Duyar, Cenk Ceyhun Kılıç

Bibliographic record

VenueJournal of Agricultural Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGrowth and nutrition in plants
Canadian institutionsnot available
Fundersnot available
KeywordsNutrientChemistryYield (engineering)Animal scienceRocket (weapon)NitrateHorticultureDry weightBiologyPhysics

Abstract

fetched live from OpenAlex

<p>In this research, the possibility of the production of rocket and parsley which have short production cycle and baby leaf vegetable, in floating system to reduce the concentration of nutrient solution; determination of the effects of yield, quality and leaf nutrient content was aimed. Research was carried out during the autumn and spring production seasons of 2010-2011. Standard nutrient solution ((mM) 12 N-NO<sub>3</sub>, 3.8 N-NH<sub>4</sub>, 2.8 P, 8.4 K, 3.5 Ca, 1.4 Mg, 9.5 Na, 8.0 Cl, 2.7 S, 0.04 Fe) was used as full dose (control treatment) and compared to half dose (1/2 dose) Hoagland nutrient solution. Both of the seasons in total yield were changed between rocket 975.81-1612.15 g m<sup>-2 </sup>and parsley 875.50-1093.50 g m<sup>-2 </sup>respectively. The results showed that using of floating system in Rocket and Parsley cultivation was successful and reduced the concentration of nutrient solution; variety and growing season at rates ranging from 13.7% to 24.8% compared to have showed reduce the yield. In this study, the effect of treatments to some quality parameters (dry weight, vitamin C, nitrate, pH ve EC) and nutrients removed by plant were determined. In addition, it was found that these values increased with increasing with the concentration of nutrient solution; however, vitamin C decreased in Parsley cultivation. When the results evaluated as a whole, it was concluded that using ½ doses decreased yield, some savings could be achieved in terms of nutrient solution consumed by the plant with the negative impact on the environment.</p>

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.119

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.048
GPT teacher head0.282
Teacher spread0.233 · 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 teacher head, 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

Citations11
Published2016
Admission routes1
Has abstractyes

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