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Encouragement Germination of Potato Seed Cultivars (Solanum tuberosum L.)

2012· article· en· W2323467103 on OpenAlexvenueno aff
A. A. Kandil, A.E. Sharief, A. M. Y. A. El-Atif

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationCultivarDry weightSolanum tuberosumHorticultureBiologyContext (archaeology)Agronomy

Abstract

fetched live from OpenAlex

A greenhouse experiment were conducted to study encouragement germination capacity of some potato tuber cultivars. The mean aim of this experiment was to assess the effect of some plant growth regulators treatments i.e. IAA and GA3, soaking time i.e. at (10 minutes, 20 minutes and 30 minutes on some germination and vegetative parameters of some potato cultivars i.e. Cara, Draga and Spunta. The results showed that Cara cultivar recorded highest germination index followed by Cv. Spunta without significant differences between them. Draga cultivar recorded tallest plant, highest fresh weight and dry weight in gm/plant followed by Cv. Cara for plant height only and followed by Cv. Spunta for fresh and dry weight without significant differences between them. Highest germination index percentage, tallest plants and highest fresh and plant dry weight were obtained from soaking tubers in GA3 at 10 ppm plus IAA at 6 ppm. While, soaking tubers in GA3 at concentration of 10 ppm produced highest mean of germination time. Results clearly indicated that soaking tubers for 30 minutes produced highest fresh weight followed by soaking for 20 minutes without significant differences between them. The interaction among cultivars and growth regulator treatments recorded significant differences on mean germination time, fresh weight and dry weight. Within this context, it is important to recognize the role of some growth regulators, soaking times and their interactions on encouragement germination capacity of some potato tuber cultivars.

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)0.003
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 score0.747
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
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 head0.031
GPT teacher head0.270
Teacher spread0.239 · 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

Citations6
Published2012
Admission routes1
Has abstractyes

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