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Record W2160800226 · doi:10.5539/jas.v5n3p261

Optimization of In-Vitro Propagation of Cassava (Manihot esculenta Crantz) Genotypes

2013· article· en· W2160800226 on OpenAlexvenueno aff
Elizabeth Folasade Mapayi, Ojo D. K., O. A. Oduwaye, J.B.O. Porbeni

Bibliographic record

VenueJournal of Agricultural Science · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCassava research and cyanide
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyAmmiGenotypeHorticultureAuxinManihot esculentaMurashige and Skoog mediumExplant cultureBotanyGene–environment interactionIn vitro

Abstract

fetched live from OpenAlex

Three cassava genotypes (92/0326, 95/0289 and Tropical Manioc Selection-International Institute of Tropical Agriculture-30572 (I-30572) were examined in sixteen (16) different culture media with different concentration of growth hormones, Naphaleneacetic acid (NAA-auxins) and 6 benzyl-aminopurine (BAP-cytokinins). The responses of the explants were evaluated by nodal length, survival, leaf and root formation, plant height, root and leaf number. Additive Main Effect and Multiplicative Interaction (AMMI) analysis was used to reveal the pattern of interaction of genotype by media-environment. The analysis of variance showed significant (P < 0.05) genotype performance with significant genotype growth differences among the different media. Highest percentage survival was recorded for 95/0289 (98%). Medium composition 1 (Murashige and Skoog (MS): 4.43 g/l; NAA: 0.01 mg/l; BAP: 0.05 mg/l) and 4 (MS: 2.22 g/l; NAA: 0.02 mg/l; BAP: 0.10 mg/l) were observed to give 100% plantlets survival. Genotype 92/0326 had the highest mean plant height (1.49 cm) and mean root number (0.82). As the best performer, full strength MS is recommended in a semi-solid medium. However, the cost-benefit and availability has to be considered. These observations, attributed to the different genetic structure and contrasting levels of hormones used, can be useful for formulating protocols that are adequately potent for microprpagation of recalcitrant cassava genotypes.

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)0.001
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 score0.642
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.230
Teacher spread0.214 · 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

Citations17
Published2013
Admission routes1
Has abstractyes

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