Abstract
This book chapter discusses the application of integrated OMIC approaches for bioenergy crops. OMIC technologies such as genomics, transcriptomics, proteomics, and metabolomics have been increasingly used to identify genetic factors and metabolic pathways that play important roles in the growth and development of bioenergy crops. By integrating multiple OMIC datasets, researchers can gain a more comprehensive understanding of the molecular mechanisms underlying plant growth and development as well as responses to environmental stresses. The chapter provides an overview of the latest advances in integrated OMIC approaches for bioenergy crops, including the development of high-throughput sequencing platforms, bioinformatic tools, and computational models for data analysis. It also highlights some of the key challenges in applying these approaches, such as data integration and interpretation and the need for further validation of findings through experimental approaches. Furthermore, the chapter showcases some case studies that illustrate the use of integrated OMIC approaches in bioenergy crop research. These case studies cover a range of bioenergy crops, including switchgrass, corn, and sugarcane, and highlight the potential of OMIC approaches to improve plant growth, yield, and quality as well as to enhance stress tolerance and resilience. Overall, this book chapter provides an in-depth exploration of the current state of integrated OMIC approaches for bioenergy crops and highlights their potential for advancing the development of sustainable bioenergy production systems.
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Mahmood, A. et al. (2023). Integrated OMIC Approaches for Bioenergy Crops. In: Aasim, M., Baloch, F.S., Nadeem, M.A., Habyarimana, E., Ahmed, S., Chung, G. (eds) Biotechnology and Omics Approaches for Bioenergy Crops. Springer, Singapore. https://doi.org/10.1007/978-981-99-4954-0_4
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DOI: https://doi.org/10.1007/978-981-99-4954-0_4
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