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Wheat Rust Diseases

Overview of attention for book
Cover of 'Wheat Rust Diseases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Wheat Rust Surveillance: Field Disease Scoring and Sample Collection for Phenotyping and Molecular Genotyping
  3. Altmetric Badge
    Chapter 2 Field Pathogenomics: An Advanced Tool for Wheat Rust Surveillance
  4. Altmetric Badge
    Chapter 3 Race Typing of Puccinia striiformis on Wheat
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    Chapter 4 Assessment of Aggressiveness of Puccinia striiformis on Wheat
  6. Altmetric Badge
    Chapter 5 Extraction of High Molecular Weight DNA from Fungal Rust Spores for Long Read Sequencing
  7. Altmetric Badge
    Chapter 6 Microsatellite Genotyping of the Wheat Yellow Rust Pathogen Puccinia striiformis
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    Chapter 7 Computational Methods for Predicting Effectors in Rust Pathogens
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    Chapter 8 Protein–Protein Interaction Assays with Effector–GFP Fusions in Nicotiana benthamiana
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    Chapter 9 Proteome Profiling by 2D–Liquid Chromatography Method for Wheat–Rust Interaction
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    Chapter 10 Investigating Gene Function in Cereal Rust Fungi by Plant-Mediated Virus-Induced Gene Silencing
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    Chapter 11 Apoplastic Sugar Extraction and Quantification from Wheat Leaves Infected with Biotrophic Fungi
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    Chapter 12 Genetic Analysis of Resistance to Wheat Rusts
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    Chapter 13 Advances in Identification and Mapping of Rust Resistance Genes in Wheat
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    Chapter 14 Chromosome Engineering Techniques for Targeted Introgression of Rust Resistance from Wild Wheat Relatives
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    Chapter 15 Applications of Genomic Selection in Breeding Wheat for Rust Resistance
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    Chapter 16 Rapid Phenotyping Adult Plant Resistance to Stem Rust in Wheat Grown under Controlled Conditions
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    Chapter 17 Generation of Loss-of-Function Mutants for Wheat Rust Disease Resistance Gene Cloning
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    Chapter 18 Isolation of Wheat Genomic DNA for Gene Mapping and Cloning
  20. Altmetric Badge
    Chapter 19 MutRenSeq: A Method for Rapid Cloning of Plant Disease Resistance Genes
  21. Altmetric Badge
    Chapter 20 Rapid Gene Isolation Using MutChromSeq
  22. Altmetric Badge
    Chapter 21 Rapid Identification of Rust Resistance Genes Through Cultivar-Specific De Novo Chromosome Assemblies
  23. Altmetric Badge
    Chapter 22 BSMV-Induced Gene Silencing Assay for Functional Analysis of Wheat Rust Resistance
  24. Altmetric Badge
    Chapter 23 Yeast as a Heterologous System to Functionally Characterize a Multiple Rust Resistance Gene that Encodes a Hexose Transporter
  25. Altmetric Badge
    Chapter 24 Biocontrol Agents for Controlling Wheat Rust
Attention for Chapter 1: Wheat Rust Surveillance: Field Disease Scoring and Sample Collection for Phenotyping and Molecular Genotyping
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Chapter title
Wheat Rust Surveillance: Field Disease Scoring and Sample Collection for Phenotyping and Molecular Genotyping
Chapter number 1
Book title
Wheat Rust Diseases
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7249-4_1
Pubmed ID
Book ISBNs
978-1-4939-7248-7, 978-1-4939-7249-4
Authors

Sajid Ali, David Hodson, Ali, Sajid, Hodson, David

Abstract

Long-distance migration capacity, emergence of invasive lineages, and variability in adaptation to a wide range of climatic conditions make wheat rusts the most important threat to wheat production worldwide. Efficient and coordinated efforts are required for surveillance of the pathogen population at different geographical levels to enable tracking of rust pathogen populations at local, regional, continental, and ultimately worldwide scale. Here we describe a standard procedure for rust surveillance to enable comparison across various research groups for a final compilation. The procedure described would enable tracking of disease severity, field level expression of host resistance, and collection of samples for further virulence phenotyping and molecular genotyping.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Bachelor 3 11%
Student > Ph. D. Student 3 11%
Other 2 7%
Student > Doctoral Student 2 7%
Other 3 11%
Unknown 9 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 50%
Biochemistry, Genetics and Molecular Biology 3 11%
Nursing and Health Professions 1 4%
Economics, Econometrics and Finance 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 May 2018.
All research outputs
#5,561,513
of 23,001,641 outputs
Outputs from Methods in molecular biology
#1,525
of 13,154 outputs
Outputs of similar age
#102,166
of 421,214 outputs
Outputs of similar age from Methods in molecular biology
#168
of 1,074 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,154 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 88% of its peers.
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 421,214 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.