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Record W2766096086 · doi:10.5539/jmbr.v7n1p132

The Effect of NaCl on Anther Development in Pistacia vera L.

2017· article· en· W2766096086 on OpenAlexvenueno aff
ELAHE SADEGHIRAD, Ahmad Majd, Ali reza Iranbakhsh, Amanollah Javanshah

Bibliographic record

VenueJournal of Molecular Biology Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsnot available
Fundersnot available
KeywordsGametophyteMicrosporeStamenMeiosisBiologySalinityPollenPistaciaBotanyTapetumHorticultureEcology

Abstract

fetched live from OpenAlex

Plant growth and development are adversely affected by salinity. In order to study the effects of salinity on male gametophyte development steps in pistachio plant, an experiment was conducted in two areas in Golshan Anar with equal conditions: a control area (A) that was irrigated with fresh water well, and the other area (B) with salty water and EC values 14 dS.m-1 NaCl solution. A sampling of flowers was performed in two areas of Golshan Anar in the spring based on a completely randomized design with three replications. Male gametophyte development steps in pistachio plant were examined using conventional cell histology techniques and light microscopy observations and were then compared with samples subjected to no salinity stress. The results showed that some stages of male gametophyte development: (1) the anther undergoing normal development which is tetrasporangiate, (2) cytokinesis occurring simultaneously with meiosis in the microspore mother cell, the tetrahedral tetrads, (3) microspores being generated after meiosis by microsporogenesis were more or less irregular in shape during the contraction period. Finally, the abnormal shape and structure of the number of cases reviewed in three replicates of pollens studied can be one of the important factors affecting the decrease in the product.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.407
Teacher spread0.380 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2017
Admission routes1
Has abstractyes

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