[HTML][HTML] An integrated multi-omics and artificial intelligence framework for advance plant phenoty** in horticulture

D Cembrowska-Lech, A Krzemińska, T Miller… - Biology, 2023 - mdpi.com
Simple Summary The future of plant biology, particularly rapidly advancing precision
horticulture and predictive breeding, will require the transformation of huge volumes of multi …

Machine learning for plant stress modeling: A perspective towards hormesis management

AK Rico-Chávez, JA Franco, AA Fernandez-Jaramillo… - Plants, 2022 - mdpi.com
Plant stress is one of the most significant factors affecting plant fitness and, consequently,
food production. However, plant stress may also be profitable since it behaves hormetically; …

[HTML][HTML] Applications and trends of machine learning in genomics and phenomics for next-generation breeding

S Esposito, D Carputo, T Cardi, P Tripodi - Plants, 2019 - mdpi.com
Crops are the major source of food supply and raw materials for the processing industry. A
balance between crop production and food consumption is continually threatened by plant …

Arabidopsis as a model for translational research

AE Yaschenko, JM Alonso, AN Stepanova - The Plant Cell, 2024 - academic.oup.com
Arabidopsis thaliana is currently the most-studied plant species on earth, with an
unprecedented number of genetic, genomic, and molecular resources having been …

The role of priming and memory in rice environmental stress adaptation: Current knowledge and perspectives

SA Ganie, N McMulkin, A Devoto - Plant, Cell & Environment, 2024 - Wiley Online Library
Plant responses to abiotic stresses are dynamic, following the unpredictable changes of
physical environmental parameters such as temperature, water and nutrients. Physiological …

GC usage of SARS-CoV-2 genes might adapt to the environment of human lung expressed genes

Y Li, X Yang, N Wang, H Wang, B Yin, X Yang… - Molecular Genetics and …, 2020 - Springer
Abstract Understanding how SARS-CoV-2 (Severe Acute Respiratory Syndrome
Coronavirus 2) efficiently reproduces itself by taking resources from the human host could …

Mass spectrometry as a crucial analytical basis for omics sciences

VG Zaikin, RS Borisov - Journal of Analytical Chemistry, 2021 - Springer
This review is devoted to the consideration of mass spectrometric platforms as applied to
omics sciences. The most significant attention is paid to omics related to life sciences …

Diversifying maize genomic selection models

BR Rice, AE Lipka - Molecular Breeding, 2021 - Springer
Genomic selection (GS) is one of the most powerful tools available for maize breeding. Its
use of genome-wide marker data to estimate breeding values translates to increased …

Safety assessment of natural products in Malaysia: current practices, challenges, and new strategies

NA M. Pauzi, MS Cheema, A Ismail… - Reviews on …, 2022 - degruyter.com
The belief that natural products are inherently safe is a primary reason for consumers to
choose traditional medicines and herbal supplements for health maintenance and disease …

[HTML][HTML] Exploring synergies between plant metabolic modelling and machine learning

M Sampaio, M Rocha, O Dias - Computational and Structural Biotechnology …, 2022 - Elsevier
As plants produce an enormous diversity of metabolites to help them adapt to the
environment, the study of plant metabolism is of utmost importance to understand different …