ArticlePlants (Basel, Switzerland)2021
Machine Learning-Mediated Development and Optimization of Disinfection Protocol and Scarification Method for Improved In Vitro Germination of Cannabis Seeds.
Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 53 citations in OpenAlex.
- Decoding the cannabis tissue culture puzzle: Machine learning analysis of cannabis in vitro morpho-physiological disorders expands the potential for precision micropropagation.Journal, genetic engineering & biotechnology · 2025Article
- Machine Learning-Aided Optimization of In Vitro Tetraploid Induction in Cannabis.International journal of molecular sciences · 2025Article
- Unlocking regeneration potential: harnessing morphogenic regulators and small peptides for enhanced plant engineering.The Plant journal : for cell and molecular biology · 2025Review
- Artificial intelligence models for validating and predicting the impact of chemical priming of hydrogen peroxide (HPlant molecular biology · 2024Article
- Article
- Leveraging machine learning to unravel the impact of cadmium stress on goji berry micropropagation.PloS one · 2024Article
- Comprehensive Phenotypic Characterization of Diverse Drug-TypePlants (Basel, Switzerland) · 2023Article
- Article
- Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms.BMC biotechnology · 2023Article
- Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits.Plants (Basel, Switzerland) · 2023Article
- 10th Anniversary of Plants-Recent Advances and Further Perspectives.Plants (Basel, Switzerland) · 2023Article
- Review
- Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- Enhancing petunia tissue culture efficiency with machine learning: A pathway to improved callogenesis.PloS one · 2023Article
- Article
- Challenges and potentials of new breeding techniques inFrontiers in plant science · 2023Review
- Expression of Genes Involved in ABA and Auxin Metabolism andPlants (Basel, Switzerland) · 2022Article
- Genetic diversity assessment and biotechnological aspects in Aristolochia spp.Applied microbiology and biotechnology · 2022Review
- New Insight into Ornamental Applications of Cannabis: Perspectives and Challenges.Plants (Basel, Switzerland) · 2022Article
- Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components.International journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
In vitro seed germination is a useful tool for developing a variety of biotechnologies, but cannabis has presented some challenges in uniformity and germination time, presumably due to the disinfection procedure. Disinfection and subsequent growth are influenced by many factors, such as media pH, temperature, as well as the types and levels of contaminants and disinfectants, which contribute independently and dynamically to system complexity and nonlinearity. Hence, artificial intelligence models are well suited to model and optimize this dynamic system. The current study was aimed to evaluate the effect of different types and concentrations of disinfectants (sodium hypochlorite, hydrogen peroxide) and immersion times on contamination frequency using the generalized regression neural network (GRNN), a powerful artificial neural network (ANN). The GRNN model had high prediction performance (R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.