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Titlebook: Bioinformatics for agriculture: High-throughput approaches; Atul Kumar Upadhyay,R Sowdhamini,Virupaksh U. Pati Book 2021 The Editor(s) (if

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Key Element: C / Schlüsselelement: Ca web interfaces to servers. In agriculture many research institutions play major role in breeding programs, pest management, quality improvement, and nutritional uplift in crop variety of interest. The information generated during such experiments is very useful and for its storage data management
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c3339, IX.0.2 Covalent graphite compounds,t. The nutritional value varies among the crops depending upon the numerous factors such as variety and the genetic makeup of the crop and conditions in which the crop has been raised namely soil condition, water requirement and use of pesticides. Emphasizing on the current scenario with the ongoing
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c3460, IX.0.4.2 Graphite salts,y in genetics, genomics, transcriptomics, proteomics, and metabolomics, we have a significant amount of knowledge for biological systems. Parallel growth in the field of information technology (IT) strengthens our capacity to handle such vast data in order to make a significant finding that is impor
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Key Element: C / Schlüsselelement: Cs, there is a need to relook at the marketing strategies. Digital marketing can play a significant role in increasing demand for agri-products and services. The current paper is an effort to examine the advantages of digital marketing. It attempts to examine how the digital market is a step to susta
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c3460, IX.0.4.2 Graphite salts,rom adverse responses to foods, which may cause severe symptoms such as anaphylaxis and gastrointestinal disorders. Food allergy is triggered by immunoglobulin E (IgE) immune response against the allergens entering in the body. Release of histamine and leukotriene from activated mast cells and basop
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Atul Kumar Upadhyay,R Sowdhamini,Virupaksh U. PatiHighlights the role of bioinformatics in agriculture.Discusses bioinformatics tools for genome-assisted breeding of crops.Reviews high throughput sequencing approaches for crop improvement.Examines th
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https://doi.org/10.1007/978-981-33-4791-5Agri-informatics; System biology; High throughput sequencing; Omics; Big data analytics
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