[HTML][HTML] Modern plant breeding techniques in crop improvement and genetic diversity: from molecular markers and gene editing to artificial intelligence—A critical …

L Sun, M Lai, F Ghouri, MA Nawaz, F Ali, FS Baloch… - Plants, 2024 - mdpi.com
With the development of new technologies in recent years, researchers have made
significant progress in crop breeding. Modern breeding differs from traditional breeding …

[HTML][HTML] Investigation of the Influence of Polyamines on Mature Embryo Culture and DNA Methylation of Wheat (Triticum aestivum L.) Using the Machine Learning …

B Eren, A Türkoğlu, K Haliloğlu, F Demirel, K Nowosad… - Plants, 2023 - mdpi.com
Numerous factors can impact the efficiency of callus formation and in vitro regeneration in
wheat cultures through the introduction of exogenous polyamines (PAs). The present study …

Enhancing petunia tissue culture efficiency with machine learning: A pathway to improved callogenesis

H Rezaei, A Mirzaie-Asl, MR Abdollahi, M Tohidfar - Plos one, 2023 - journals.plos.org
The important feature of petunia in tissue culture is its unpredictable and genotype-
dependent callogenesis, posing challenges for efficient regeneration and biotechnology …

Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms

M Jafari, MH Daneshvar - BMC biotechnology, 2023 - Springer
Background Optimization of indirect shoot regeneration protocols is one of the key
prerequisites for the development of Agrobacterium-mediated genetic transformation and/or …

Machine learning-mediated Passiflora caerulea callogenesis optimization

M Jafari, MH Daneshvar - PLoS One, 2024 - journals.plos.org
Callogenesis is one of the most powerful biotechnological approaches for in vitro secondary
metabolite production and indirect organogenesis in Passiflora caerulea. Comprehensive …

[HTML][HTML] Machine Learning Analysis of the Impact of Silver Nitrate and Silver Nanoparticles on Wheat (Triticum aestivum L.): Callus Induction, Plant Regeneration, and …

A Türkoğlu, K Haliloğlu, F Demirel, M Aydin, S Çiçek… - Plants, 2023 - mdpi.com
The objective of this study was to comprehend the efficiency of wheat regeneration, callus
induction, and DNA methylation through the application of mathematical frameworks and …

Artificial intelligence models for validating and predicting the impact of chemical priming of hydrogen peroxide (H2O2) and light emitting diodes on in vitro grown industrial hemp …

M Aasim, B Yıldırım, A Say, SA Ali, S Aytaç… - Plant Molecular …, 2024 - Springer
Industrial hemp (Cannabis sativa L.) is a highly recalcitrant plant under in vitro conditions
that can be overcome by employing external stimuli. Hemp seeds were primed with 2.0 …

A unified framework of response surface methodology and coalescing of Firefly with random forest algorithm for enhancing nano-phytoremediation efficiency of …

SA Ali, NE Gümüş, M Aasim - Environmental Science and Pollution …, 2024 - Springer
Nano-phytoremediation is a novel green technique to remove toxic pollutants from the
environment. In vitro regenerated Ceratophyllum demersum (L.) plants were exposed to …

Response surface methodology and artificial intelligence modeling for in vitro regeneration of Brazilian micro sword (Lilaeopsis brasiliensis)

SA Ali, M Aasim - Plant Cell, Tissue and Organ Culture (PCTOC), 2024 - Springer
In this study, response surface methodology (RSM) was used to optimize in vitro
regeneration of the Brazilian micro sword (Lilaeopsis brasiliensis) aquatic plant, followed by …

Synergizing LED Technology and Hydropriming for Intelligent Modeling and Mathematical Expressions to Optimize Chickpea Germination and Growth Indices

M Aasim, F Akin, SA Ali - Journal of Plant Growth Regulation, 2024 - Springer
The influence of hydropriming and Light Emitting Diodes (LED) on germination and growth
indices, followed by optimizing and validation via artificial intelligence-based models was …