ISBN No :- 978-81-967339-9-5
Phenomics is the study of organisms' physical and biochemical traits and how they interact with the environment. Phenomics involves the comprehensive analysis of plant traits related to productivity, quality, and stress tolerance, using high-throughput technologies and data analysis. Food crops are essential for human nutrition and are critical to global food security. The ability to produce high-yielding, nutritious crops that are resistant to pests and diseases is critical for meeting the growing demand for food worldwide.
Phenomics involves using high-throughput technologies to measure and analyze many plant traits, including growth rate, yield, nutrient content, disease resistance, and stress tolerance. These technologies include imaging techniques, such as infrared and hyperspectral imaging, and non-invasive sensors that measure plant growth and physiological parameters. In addition, phenomic data is often analyzed using machine learning and data mining techniques to identify patterns and relationships between traits and to predict plant performance under different environmental conditions. This approach allows breeders and researchers to select plants with desired traits and develop new crop varieties better adapted to specific environmental conditions.
Phenomics has the potential to revolutionize crop breeding and plant science by providing a more comprehensive understanding of plant traits and their interactions with the environment. Moreover, this approach can lead to the development of more productive, sustainable, and nutritious food crops, which is critical for addressing global food security challenges. Hence, to support and enrich the knowledge of researchers, scientists and scholars, a book is proposed entitled, "Phenomics in Food Crops" by editors Sudhir Kumar and Sanjeev Kumar to cover all aspects of phenomics. Hence, book chapters are invited from interested authors as per the attached contents of the book.
1. Phenomics
2. Food crops
3. Plant phenotyping
4. High-throughput phenotyping
5. Crop improvement
6. Genetic variation
7. Phenotypic traits
8. Morphological traits
9. Physiological traits
10. Phenotypic diversity
11. Phenotypic plasticity
12. Phenotypic characterization
13. Phenotype data
14. Phenotypic screening
15. Non-invasive imaging
16. Remote sensing
17. Image analysis
18. Phenotypic analysis
19. Phenotypic selection
20. Phenotype-genotype associations
21. Stress tolerance
22. Yield potential
23. Abiotic stress
24. Biotic stress
25. Drought tolerance
26. Disease resistance
27. Nutrient use efficiency
28. Photosynthesis
29. Root architecture
30. Canopy structure
31. Imaging techniques
32. Data analytics
Phenomics | Plant phenotyping |
Genetic variation | Physiological traits |
Drought tolerance |
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