Insights Into Abiotic Stress Responses And Recovery Patterns

The collective understanding of plant responses to abiotic stresses, including hypoxia, flooding, drought, cold, heat, salinity, and light variations, emphasizes the dynamic and complex nature of metabolic adaptations. Hypoxic stress, exemplified by low cellular oxygen due to events like flooding, triggers significant metabolic shifts in plants, as observed in Arabidopsis seedlings. These shifts are characterized by a substantial alteration in metabolites during the stress phase and a gradual return to baseline levels upon reoxygenation, highlighting the flexibility of plant metabolism. Similarly, an untargeted metabolomics approach revealed distinct metabolic responses across various abiotic stresses, including temperature and water deficits, with changes in central metabolism pathways such as amino acid and sugar metabolism, glycolysis, and the TCA cycle. These responses include both stress-specific and shared metabolic signatures, underscoring the importance of oxidative stress and the critical roles of protein and starch autolysis in early stress responses. Moreover, the application of metabolomics techniques offers insights into the rewiring of plant central metabolism under stress conditions, serving as a hub for maintaining metabolic and energy homeostasis. This comprehensive overview underscores the challenges and emerging insights in utilizing metabolomics to understand plant adaptation and resilience to abiotic stresses, highlighting the need for further research to elucidate the metabolic mechanisms underlying plant stress responses and recovery processes.

This title includes a number of Open Access chapters. The field of plant physiology includes the study of all chemical and physical processes of plants, from the molecular-level interactions of photosynthesis and the diffusion of water, minerals, and nutrients within the plant, to the larger-scale processes of plant growth, dormancy and reproduction. This new book covers a broad array of topics within the field. Plant Physiology focuses on the study of the internal activities of plants, including research into the molecular interactions of photosynthesis and the internal diffusion of water, minerals, and nutrients. Also included are investigations into the processes of plant development, seasonality, dormancy, and reproductive control. The chapters focus on various aspects of plant physiology, including phytochemistry; interactions within a plant between cells, issues, and organs; ways in which plants regulate their internal functions; and how plants respond to conditions and variations within the environment. Given the environmental crises brought about by pollution and climate change, this is a particularly vital area of study, since stress from water loss, changes in air chemistry, or crowding by other plants can lead to changes in the way a plant function. Readers of this book will gain the information they need to stay current with the latest research being done in this essential field of study.

Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.