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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) …
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 …
With the development of new technologies in recent years, researchers have made
significant progress in crop breeding. Modern breeding differs from traditional breeding …
significant progress in crop breeding. Modern breeding differs from traditional breeding …
Applications of artificial intelligence in wheat breeding for sustainable food security
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 …
the urgent issues posed by climate change and global food security. Artificial intelligence …
Application of machine learning and genomics for orphan crop improvement
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 …
to biotic and abiotic stressors; however, modern crop improvement technologies have not …
Machine learning for soybean yield forecasting in Brazil
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 …
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 …
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 …
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 …
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 …
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 …
dependent callogenesis, posing challenges for efficient regeneration and biotechnology …