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Engineering Nitrogen Utilization in Crop Plants

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Cover of 'Engineering Nitrogen Utilization in Crop Plants'

Table of Contents

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    Book Overview
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    Chapter 1 Developing Crop Varieties with Improved Nutrient-Use Efficiency
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    Chapter 2 Improving Nitrogen Use Efficient in Crop Plants Using Biotechnology Approaches
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    Chapter 3 Transcription Factor-Based Genetic Engineering to Increase Nitrogen Use Efficiency
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    Chapter 4 Modeling Plant Metabolism: Advancements and Future Capabilities
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    Chapter 5 Molecular Targets for Improvement of Crop Nitrogen Use Efficiency: Current and Emerging Options
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    Chapter 6 From Arabidopsis to Crops: The Arabidopsis QQS Orphan Gene Modulates Nitrogen Allocation Across Species
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    Chapter 7 Tackling Nitrogen Use Efficiency in Cereal Crops Using High-Throughput Phenotyping
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    Chapter 8 Nitrogen Partitioning and Remobilization in Arabidopsis Under Sufficient and Depleted Conditions
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    Chapter 9 Field Testing for Improved Nitrogen Use Efficiency of Corn—From Whole-Plant Physiology to Agroecosystem Scales
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    Chapter 10 Legume Nitrogen Utilization Under Drought Stress
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    Chapter 11 Exploiting Genetic Variability of Root Morphology as a Lever to Improve Nitrogen Use Efficiency in Oilseed Rape
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    Chapter 12 Genetic Improvement of Nitrogen Use Efficiency in Oilseed Rape
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    Chapter 13 The Importance of Organic Nitrogen Transport Processes for Plant Productivity and Nitrogen Use Efficiency
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    Chapter 14 New Screening Strategies for Dinitrogen Fixation in Soybean
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12 tweeters
1 Facebook page


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Engineering Nitrogen Utilization in Crop Plants
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-92958-3
978-3-31-992957-6, 978-3-31-992958-3

Ashok Shrawat, Adel Zayed, David A. Lightfoot

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 28%
Researcher 7 13%
Student > Master 7 13%
Other 4 7%
Student > Bachelor 3 6%
Other 7 13%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 57%
Biochemistry, Genetics and Molecular Biology 6 11%
Environmental Science 2 4%
Business, Management and Accounting 1 2%
Psychology 1 2%
Other 1 2%
Unknown 12 22%