Multi-omics pipeline and omics-integration approach to decipher plant's abiotic stress tolerance responses

R Roychowdhury, M Sheikh, F Iqra, H Ambreen, KA Pravin, M Ikra… - Journal of Integrative …, 2024 - Elsevier
Crop improvement is crucial for addressing the global challenges of food security and
sustainable agriculture. Recent advancements in high-throughput phenoty** (HTP) …

[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 …

Applications of artificial intelligence in wheat breeding for sustainable food security

MA Mushtaq, HGMD Ahmed, Y Zeng - Sustainability, 2024 - mdpi.com
In agriculture, especially in crop breeding, innovative approaches are required to address
the urgent issues posed by climate change and global food security. Artificial intelligence …

Application of machine learning and genomics for orphan crop improvement

TR MacNish, MF Danilevicz, PE Bayer… - Nature …, 2025 - nature.com
Orphan crops are important sources of nutrition in develo** regions and many are tolerant
to biotic and abiotic stressors; however, modern crop improvement technologies have not …

Machine learning for soybean yield forecasting in Brazil

M von Bloh, RSN Júnior, X Wangerpohl… - Agricultural and Forest …, 2023 - Elsevier
Brazil supplies half of the world's exported soybeans. Forecasting its national soybean yield
before harvest could help mitigate disruptions in food supply. The objective of this study is to …

Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future …

J King, S Dreisigacker, M Reynolds… - Global Change …, 2024 - Wiley Online Library
The use of plant genetic resources (PGR)—wild relatives, landraces, and isolated breeding
gene pools—has had substantial impacts on wheat breeding for resistance to biotic and …

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 …

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 …

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 …