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Record W4395465549 · doi:10.18280/ijdne.190238

Effects of Nano-Silicon Spraying on Physiological Parameters of Bean Varieties Under Saline Stress Conditions

2024· article· en· W4395465549 on OpenAlexvenueno aff
Haider T. Hussein, Ibrahim Mordhi Radhi

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSilicon Effects in Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsSiliconNano-SalineMaterials scienceStress (linguistics)Biological systemMathematicsComposite materialMetallurgyBiology

Abstract

fetched live from OpenAlex

The winter 2022-2023 field experiment in Babil Governorate's Al-Musayyib project region studied how nano-silicon spraying on three bean varieties and sodium chloride salt stress affected crop physiological parameters.A randomized complete block design was used in this factorial experiment with three replications and three factor.The first factor included four Bean varieties were Local, Aquadulce, and Lue Deotono.Second factor was nano-silicon concentrations (0, 2, and 4) ml L -1 .The third factor is sodium chloride salt stress (0, 75, 150) mmol L -1 .The results showed that the Aquadulce variety was superior in plant height and leaf area, total chlorophyll, peroxidase, and catalase enzyme activity, were 112.76 cm, 3319 cm 2 , 17.01 mg 100 g -1 fresh weight, 15.32 absorption unit min -1 g -1 , and 8.58 absorption unit min -1 g -1 , respectively.As for spraying with nanosilicon, the concentration exceeded (4 ml L -1 ) for the mentioned characteristics, with averages of 109.58 cm, 3161 cm 2 , 18.55 mg 100 g -1 fresh weight, 16.89 absorption unit min -1 g -1 , and 9.10 absorption unit min -1 g -1 , respectively.It was also noted that salt stress had a significant effect on the traits under study, as the treatment (75 mmol L -1 ) excelled in the content of proline acid with an average of 1.31 µmol g -1 , and the treatment (150 mmol L -1 ) excelled in the content of the POD and CAT enzymes with averages of 15.67 and 8.76 absorption unit min -1 g -1 , respectively, it was also observed that the control treatment was superior in the remaining traits.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.218

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 head0.012
GPT teacher head0.254
Teacher spread0.242 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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