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Rice Protocols

Overview of attention for book
Cover of 'Rice Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 Rice Artificial Hybridization for Genetic Analysis
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    Chapter 2 Fluorescence in Situ Hybridization Techniques for Cytogenetic and Genomic Analyses
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    Chapter 3 Generation of Rice Mutants by Chemical Mutagenesis
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    Chapter 4 TILLING and Ecotilling for Rice
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    Chapter 5 Functional Characterization of Rice Genes Using a Gene-Indexed T-DNA Insertional Mutant Population
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    Chapter 6 QTL Analysis and Map-Based Cloning of Salt Tolerance Gene in Rice.
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    Chapter 7 Site-Specific Gene Integration in Rice
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    Chapter 8 Transcriptome Profiling Analysis Using Rice Oligonucleotide Microarrays
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    Chapter 9 Cloning of Small RNAs for the Discovery of Novel MicroRNAs in Plants
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    Chapter 10 Global Identification of Small RNA Targets in Plants by Sequencing Sliced Ends of Messenger RNAs
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    Chapter 11 Artificial MicroRNAs for Specific Gene Silencing in Rice
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    Chapter 12 Rice Proteomic Analysis: Sample Preparation for Protein Identification
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    Chapter 13 Quantification of Jasmonic and Salicylic Acids in Rice Seedling Leaves
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    Chapter 14 Analysis of Insect-Induced Volatiles from Rice
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    Chapter 15 Phenotypic and Physiological Evaluation for Drought and Salinity Stress Responses in Rice
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    Chapter 16 Phenotypic, Physiological, and Molecular Evaluation of Rice Chilling Stress Response at the Vegetative Stage
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    Chapter 17 Analysis of Rice Root Hair Morphology Using Cryo-Scanning Electron Microscopy
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    Chapter 18 Inoculation and Virulence Assay for Bacterial Blight and Bacterial Leaf Streak of Rice
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    Chapter 19 Inoculation and Scoring Methods for Rice Sheath Blight Disease
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    Chapter 20 Molecular Approaches to Improve Rice Abiotic Stress Tolerance
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    Chapter 21 Molecular Strategies to Improve Rice Disease Resistance
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    Chapter 22 Molecular Strategies to Engineer Transgenic Rice Seed Compartments for Large-Scale Production of Plant-Made Pharmaceuticals
Attention for Chapter 6: QTL Analysis and Map-Based Cloning of Salt Tolerance Gene in Rice.
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Chapter title
QTL Analysis and Map-Based Cloning of Salt Tolerance Gene in Rice.
Chapter number 6
Book title
Rice Protocols
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-194-3_6
Pubmed ID
23135845
Book ISBNs
978-1-62703-193-6, 978-1-62703-194-3
Authors

Ji-Ping Gao, Hong-Xuan Lin

Abstract

Most agronomic traits are governed by quantitative trait loci (QTLs) and exhibit continuous distribution in a segregating population. The hereditary characteristics of these traits are more complicated than those of monogenic traits. Detection and isolation of these QTLs can greatly improve crop production throughout the world. In recent times, significant progress has been made toward understanding the molecular basis underlying quantitative traits. Herein, we describe a QTL-mapping protocol for detecting and cloning a major QTL regulating rice shoot K(+) concentration under salt stress conditions. This QTL-mapping approach combined with the marker-assisted selection technique can be applied for the elucidation of complex traits in rice and other cereal crops.

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Student > Postgraduate 2 13%
Student > Bachelor 2 13%
Researcher 2 13%
Student > Doctoral Student 1 7%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 67%
Biochemistry, Genetics and Molecular Biology 2 13%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from Methods in molecular biology
#5,292
of 13,045 outputs
Outputs of similar age
#181,412
of 280,643 outputs
Outputs of similar age from Methods in molecular biology
#174
of 339 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,045 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 339 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.

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