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Record W1971913493 · doi:10.5539/ijb.v4n2p132

The Physiological Effects on Some Traits of Osmopriming Germination of Maize (Zea mays L.), Rice (Oryza sativa L.) and Cucumber (Cucumis sativus L.)

2012· article· en· W1971913493 on OpenAlexvenueno aff
Reza Rezaei Sokht-Abandani, M Ramezani

Bibliographic record

VenueInternational Journal of Biology · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsShootCucumisGerminationOryza sativaHorticulturePEG ratioCultivarDry weightAgronomyPotassiumRandomized block designBiologyPolyethylene glycolSowingPotassium nitrateChemistry

Abstract

fetched live from OpenAlex

To investigate the effects priming osmotic on seed germination of maize, two vessels SC 704, rice (Variety Neda) and cucumber (cultivar P.S), an experiment in a factorial design in randomized complete block with three replicates in the laboratory of Department of Agriculture, University vice of the city in 2011 was conducted. Treatments priming seed Soluble polyethylene glycol (PEG 6000) concentrations of 5 and 10 per cent, potassium nitrate (KNO3) with concentrations of 1 and 2 percent potassium chloride (KCl) concentrations of 2 and 4% and the duration of different plants, respectively (maize: 8, 16 and 24), (rice: 4, 8 and 12) and (cucumber: 6, 12 and 18) had time. Traits measured included primary root and shoot length, germination rate and percent, primary root and shoot fresh weight, primary root dry weight, primary root/primary shoot fresh and dry weight proportion (R/S), primary root/primary shoot lenght proportion (R/S), the normal and abnormal seedlings number were Vigor 1 and 2 index. Results showed that root and shoot length for seed maize, rice and cucumber under treatment duration and concentration of the Prime Osmopriming respectively by polyethylene glycol (PEG), chloride and potassium nitrate (KNO3 and KCl) concentrations of 5, 10, 2, 4 and 2 percent of the time 16, 8 and 12 hours respectively. The highest primary root/primary shoot lenght proportion (R/S) for seed maize, rice and cucumber treated with polyethylene glycol (PEG) and potassium nitrate (KNO3) with concentrations of 5, 10 and 1% during the period of 24, 8 and 6 h was observed. The maximum primary root dry weight, primary root/primary shoot fresh weight proportion (R/S) for seed maize, cucumber and rice respectively by Prime Osmopriming nitrate and potassium chloride solution (KNO3 and KCl) concentrations 1, 2 and 4 percent in the period 24 , 8 and 6 hours was the result. More than how to primary root dry weight, primary root/primary shoot dry weight proportion (R/S) for rice and cucumber seeds, respectively, with the Prime solution of potassium nitrate (KNO3) concentration of 1 and 2 percent was achieved. The highest seed germination for maize, cucumber and rice under treatment duration and concentration of Osmopriming respectively by Prime soluble polyethylene glycol (PEG) and potassium chloride (KCl) concentrations of 5, 2 and 4 percent during the time periods were 24 and 12 hours. The maximum percentage of germination for seeds of rice and cucumber, respectively, during the period of 4 and 6 h were achieved. While most of the seed maize and cucumber root fresh weight, respectively by the Prime Solution Osmopriming polyethylene glycol (PEG) and potassium nitrate (KNO3) with concentrations of 5 and 2 percent during the period 16, 24 and 18 hours respectively. Most of the seed rice Vigor a period of 8 hours was the minimum index Vigor 2 treatments and the concentration of Osmopriming term treatment with potassium chloride (KCl) concentration of 4% during the period of 12 hours was achieved. The best treatment for this research to plant maize, rice and cucumber respectively by Prime Solution Polyethylene glycol and potassium chloride concentrations of 5 and 4% better germination and seedling growth in Compared to other solutions have been proposed.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.178

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.282
Teacher spread0.259 · 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 designObservational
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
Published2012
Admission routes1
Has abstractyes

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