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Germination and Seedling Characters of Different Wheat Cultivars under Salinity Stress

2012· article· en· W2313674402 on OpenAlex
A. A. Kandil, A.E. Sharief, M. A. Elokda

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsSeedlingGerminationSalinityCultivarShootDry weightBiologyHorticultureAgronomy

Abstract

fetched live from OpenAlex

The impact of salt stress under different salinity level (2, 4, 6, 8, 10, 12 and 14 dS/m-1 NaCl) on eleven varieties of bread wheat (Triticum aestivum L.) viz., Sakha 93, Gemmeza 7, Egaseed 7, Sakha 94, Gemmeza 10, Egaseed 3, Masr 2, Masr 1, Gemmeza 9, Sids 1 and Giza 168 was conducted. A laboratory experiment was conducted at Giza Central Seed Testing laboratory of Central Administration for Seed Testing and Certification, Ministry of Agriculture, Egypt. Wheat cultivars significantly varied in means of final germination percentage, germination rate, germination index, vigor index, shoot length, root length, shoot fresh weight, root fresh weight, shoot dry weight, root dry weight, seedling height reduction and relative dry weight. Sakha 93 and Sakha 94 had positive effects in most of studied characters while, Masr 1 cultivar had negative effects in most of germination parameters under study. Salinity concentrations significantly varied in all germination parameters under study except shoot dry weight character. Increasing salinity concentrations from 0 to 14 dS/m-1 gradually decreased average of germination and seedling characters. All studied characters were significantly affected by the interaction between cultivars and salinity stress, vice versa, root length didn't affect by the interaction. It could be concluded that for maximizing wheat germination percentage and seedling parameters under salinity stress are recognized by using Sakha 93, Sakha 94 and Gemmeza 10 cultivars with increasing salinity concentrations levels up to 14 dS/m-1. Among the cultivars under investigation Sakha 93 and Sakha 94 cultivars appeared to be more tolerant to salinity at germination stage compared with other cultivars. These cultivars were more tolerant to salinity and recommended to use in breeding program for enhancing Wheat production in Egypt.

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)0.001
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 score0.926
Threshold uncertainty score0.118

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.036
GPT teacher head0.267
Teacher spread0.232 · 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