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Record W3118687492

Development of culture medium for high density micropropagation of potato plants in vitro

2018· article· en· W3118687492 on OpenAlexaffabout
Andrea Gelene Abenoja, Dmytro P. Yevtushenko

Bibliographic record

VenueURSCA Proceedings · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsMicropropagationNutrientBiologyGreenhousePlant propagationTissue cultureMurashige and Skoog mediumShootHorticultureBiotechnologyIn vitro
DOInot available

Abstract

fetched live from OpenAlex

All commercial seed potatoes start off as small plantlets grown in tissue culture, and in vitro clonal micropropagation is the only way to ensure a constant supply of certified virus-free plants. Selecting the correct culture medium is one of the most important steps in developing a useful protocol for successful growth and propagation of plant species in vitro. In Alberta, all commercial tissue culture labs rely on the classic Murashige and Skoog (MS) medium to clonally propagate potato plants in vitro. Although MS composition is widely used as a standard growth medium, the nutrients it supplies may not be optimal for plant growth on an industrial scale. To meet the growers’ demand for seed potatoes, commercial producers have to grow plants at 4–10 times higher densities than those in research laboratories. The resulting plants are often of poor quality and exhibit reduced survival rate after being transferred to the greenhouse, thereby causing serious economic losses for the industry. Hence, the composition of MS medium likely requires major modifications to improve its efficiency for commercial use, particularly when potato plants are grown in culture vessels at high density and suboptimal culture conditions. The aim of this study was to evaluate the effects of additional MS nutrients on shoot quality and to determine the most critical culture medium components for improved plant growth response in potato. A factorial approach was used to test combinations of five nutrient factors: 1) NH4NO3, 2) KNO3, 3) mesos (CaCl2, KH2PO4 and MgSO4), 4) micronutrients (B, Cu, Co, I, Mn, Mo, Zn, Fe), and 5) source of carbohydrates. Each factor varied over a range of concentrations, added to MS medium. In total, 25 medium compositions were tested. The effects of these treatments on plant quality, such as shoot length, leaf size and color, were determined. An increase of mesos and micronutrients to concentrations four times higher than in the original MS medium was found to be the most significant factor associated with plant quality, multiplication and shoot length in all plants. This optimized growth medium can be used to produce higher quality potato plants in vitro. *Indicates presenter

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 score0.012
Threshold uncertainty score0.247

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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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