[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 …

Artificial intelligence–based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L.

M Aasim, SA Ali, S Aydin, A Bakhsh… - … Science and Pollution …, 2023 - Springer
Water bodies or aquatic ecosystem are susceptible to heavy metal accumulation and can
adversely affect the environment and human health especially in underdeveloped nations …

[HTML][HTML] Machine Learning-Assisted In Vitro Rooting Optimization in Passiflora caerulea

M Jafari, MH Daneshvar, S Jafari, M Hesami - Forests, 2022 - mdpi.com
In vitro rooting as one of the most critical steps of micropropagation is affected by various
extrinsic (eg, medium composition, auxins) and intrinsic factors (eg, species, explant). In …

[HTML][HTML] 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] 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 …

Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)

M Aasim, F Akin, SA Ali, MB Taskin, MS Colak… - … and Molecular Biology …, 2023 - Springer
Salt stress is one of the most critical abiotic stresses having significant contribution in global
agriculture production. Chickpea is sensitive to salt stress at various growth stages and a …

[HTML][HTML] Modeling Callus Induction and Regeneration in Hypocotyl Explant of Fodder Pea (Pisum sativum var. arvense L.) Using Machine Learning Algorithm Method

A Türkoğlu, P Bolouri, K Haliloğlu, B Eren, F Demirel… - Agronomy, 2023 - mdpi.com
A comprehensive understanding of genetic diversity and the categorization of germplasm is
important to effectively identify appropriate parental candidates for the goal of breeding. It is …

[HTML][HTML] Innovation in the Breeding of Common Bean Through a Combined Approach of in vitro Regeneration and Machine Learning Algorithms

M Aasim, R Katirci, FS Baloch, Z Mustafa… - Frontiers in …, 2022 - frontiersin.org
Common bean is considered a recalcitrant crop for in vitro regeneration and needs a
repeatable and efficient in vitro regeneration protocol for its improvement through …

[HTML][HTML] Usage of Machine learning algorithms for establishing an effective protocol for the in vitro micropropagation ability of black chokeberry (Aronia melanocarpa …

F Demirel, R Uğur, GC Popescu, S Demirel, M Popescu - Horticulturae, 2023 - mdpi.com
The primary objective of this research was to ascertain the optimal circumstances for the
successful growth of black chokeberry (Aronia melanocarpa (Michx.) Elliott) using tissue …

[HTML][HTML] 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 …