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In Silico Approach for Sustainable Agriculture

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Cover of 'In Silico Approach for Sustainable Agriculture'

Table of Contents

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    Book Overview
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    Chapter 1 Genes to Metabolites and Metabolites to Genes Approaches to Predict Biosynthetic Pathways in Microbes for Natural Product Discovery
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    Chapter 2 Role of Functional Bacterial Phylum Proteobacteria in Glycine max Growth Promotion Under Abiotic Stress: A Glimpse on Case Study
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    Chapter 3 Methanogenic Archaea in Paddy Agricultural Fields
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    Chapter 4 In Silico Study of the Geminiviruses Infecting Ornamental Plants
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    Chapter 5 In Silico Methods to Predict Disease-Resistance Candidate Genes in Plants
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    Chapter 6 In Silico Approach in Tracing Persistence and Survival of Rhizobium in Soil
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    Chapter 7 Bradyrhizobia-Mediated Drought Tolerance in Soybean and Mechanisms Involved
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    Chapter 8 In Silico Approach to Analyze the Biochemical Pathways of Bacterial Metabolite Synthesis
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    Chapter 9 In Silico Modulation Techniques for Upgrading Sustainability and Competitiveness in Agri-food Sector
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    Chapter 10 Bioinformatic Tools to Study the Soil Microorganisms: An In Silico Approach for Sustainable Agriculture
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    Chapter 11 Sustainable Agriculture: Role of Metagenomics and Metabolomics in Exploring the Soil Microbiota
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    Chapter 12 In Silico Plant Growth Metabolites
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    Chapter 13 Pharmacokinetic and Molecular Docking Studies of Plant-Derived Natural Compounds to Exploring Potential Anti-Alzheimer Activity
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    Chapter 14 In Silico Biochemical Pathways for Bacterial Metabolite Synthesis
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    Chapter 15 In Silico Characterization of Plant Secondary Metabolites
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    Chapter 16 In Silico Identification of Plant-Derived Secondary Metabolites in Defense
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Citations

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Readers on

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Title
In Silico Approach for Sustainable Agriculture
Published by
Springer Singapore, January 2018
DOI 10.1007/978-981-13-0347-0
ISBNs
978-9-81-130346-3, 978-9-81-130347-0
Editors

Devendra K. Choudhary, Manoj Kumar, Ram Prasad, Vivek Kumar

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 35%
Student > Ph. D. Student 4 24%
Student > Master 3 18%
Student > Doctoral Student 2 12%
Unspecified 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 35%
Chemistry 3 18%
Biochemistry, Genetics and Molecular Biology 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 12%
Unspecified 1 6%
Other 0 0%
Unknown 3 18%