Genomics, Transcriptomics, Proteomics and Metabolomics of Crop Plants presents current operational methods applied to model crop plants. Including subcellular organelles, DNA fingerprinting and barcoding, sRNA, gene expression, rhizosphere engineering, marker assisted and 5G breeding, plant-microorganism interactions, stress signaling and responses, the book highlights important factors that are often overlooked and explores the latest research. The book also explores cutting-edge approaches for immediate application in new research such as OMICS, genome-wide transcriptome profiling, bioinformatics and database, DNA fingerprinting and barcoding, sRNA, gene expression, genome editing, diagnostics, rhizosphere engineering, marker assisted and 5G breeding, crop plant-microorganism interactions, stress signaling and responses.
Additionally, the book describes opportunities to manipulate crop plants genetic and metabolic systems, while also exploring the related bioethical and biosafety issues. These topics are chosen and covered in detail to fill the gap in this understanding of crop molecular biology.
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Azamal Husen is a scholar with over two decades of experience in botanical sciences, nanobiotechnology, plant physiology, environmental botany, medicinal plants, and clonal propagation. He previously served as a Full Professor and Head of the Department of Biology at the University of Gondar, Ethiopia, and is currently a foreign delegate at Wolaita Sodo University, Ethiopia, as well as an Adjunct Professor at Graphic Era University, India. He has also held senior academic roles at Sankalchand Patel University, the Forest Research Institute, and Doon College of Agriculture and Forest in Dehradun, India. Prof. Husen’s research has been supported by major organizations including the World Bank, the Indian Council of Agricultural Research, and the Japan Bank for International Cooperation. He has contributed extensively to curriculum development, faculty training, and international conferences. A prolific author and editor, he has been recognized among Stanford University’s World’s Top 2% Scientists since 2020 and honored by the University of Gondar for his outstanding service.
Professor Altaf Ahmad is working in Plant Biotechnology in the Department of Botany, Aligarh Muslim University, Aligarh, India. Dr. Ahmad has 22 years of research experience and has more than 150 publications. Dr. Ahmad handled several research projects funded by various agencies like BBSRS-UK, DST, DBT, CSIR, UGC, CCRUM, ICAR, and INSA. He was a Visiting Scientist at the Virginia Polytechnic and State University, USA University of Freiburg, University of Aberdeen, and the University of Cologne. Based on his research contribution, Dr. Ahmad has been honored with the INSA Medal for Young Scientist (2003) and Professor LSS Kumar Memorial Award (2003) of Indian National Science Academy, Young Scientist Award (2005) of Council of Science & Technology, Govt. of Uttar Pradesh, and elected as Associate of National Academy of Agricultural Sciences
Genomics, Transcriptomics, Proteomics and Metabolomics of Crop Plants presents currents operational methods applied to model crop plants. Including subcellular organelles, DNA fingerprinting and barcoding, sRNA, gene expression, rhizosphere engineering, marker assisted and 5G breeding, plant-microorganism interactions, stress signaling and responses the book highlights important factors that are often overlooked and explores the latest in research.
Biotechnological interventions play a significant role in the improvement of crop yields and quality. Crops have been engineered to produce valuable enzymes, heterologous proteins, antibodies and other benefits. Recent breakthroughs in high-throughput approaches have revolutionized this research area and shifted the focus towards OMICS approaches, such as genomics, transcriptomics, proteomics, and metabolomics. Genomics, Transcriptomics, Proteomics and Metabolomics of Crop Plants explores cutting-edge approaches for immediate application in new research such as OMICS, genome-wide transcriptome profiling, bioinformatics and database, DNA fingerprinting and barcoding, sRNA, gene expression, genome editing, diagnostics, rhizosphere engineering, marker assisted and 5G breeding, crop plant-microorganism interactions, stress signalling and responses. Additionally, the book describes opportunities to manipulate crop plants genetic and metabolic systems, while also exploring the related bioethical and biosafety issues. These topics are chosen and covered in detail to fill the gap in this understanding of crop molecular biology.
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Zustand: New. Includes coverage of the latest trends on plants bioinformatics and databases Presents the overall scope of OMIC sciences with rich illustration Provides implementation advice and future challengesRedaktion: Azam. Artikel-Nr. 830932087
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Taschenbuch. Zustand: Neu. Neuware - Genomics, Transcriptomics, Proteomics and Metabolomics of Crop Plants presents current operational methods applied to model crop plants. Including subcellular organelles, DNA fingerprinting and barcoding, sRNA, gene expression, rhizosphere engineering, marker assisted and 5G breeding, plant-microorganism interactions, stress signaling and responses, the book highlights important factors that are often overlooked and explores the latest research. The book also explores cutting-edge approaches for immediate application in new research such as OMICS, genome-wide transcriptome profiling, bioinformatics and database, DNA fingerprinting and barcoding, sRNA, gene expression, genome editing, diagnostics, rhizosphere engineering, marker assisted and 5G breeding, crop plant-microorganism interactions, stress signaling and responses. Additionally, the book describes opportunities to manipulate crop plants genetic and metabolic systems, while also exploring the related bioethical and biosafety issues. These topics are chosen and covered in detail to fill the gap in this understanding of crop molecular biology. Artikel-Nr. 9780323959896
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