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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
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    Chapter 2 Field Pathogenomics: An Advanced Tool for Wheat Rust Surveillance
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    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
  16. Altmetric Badge
    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 16: Rapid Phenotyping Adult Plant Resistance to Stem Rust in Wheat Grown under Controlled Conditions
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Chapter title
Rapid Phenotyping Adult Plant Resistance to Stem Rust in Wheat Grown under Controlled Conditions
Chapter number 16
Book title
Wheat Rust Diseases
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7249-4_16
Pubmed ID
Book ISBNs
978-1-4939-7248-7, 978-1-4939-7249-4
Authors

Adnan Riaz, Lee T. Hickey, Riaz, Adnan, Hickey, Lee T.

Abstract

Stem rust (SR) or black rust caused by Puccinia graminis f. sp. tritici is one of the most common diseases of wheat (Triticum aestivum L.) crops globally. Among the various control measures, the most efficient and sustainable approach is the deployment of genetically resistant cultivars. Traditionally, wheat breeding programs deployed genetic resistance in cultivars, but unknowingly this is often underpinned by a single seedling resistance gene, which is readily overcome by the pathogen. Nowadays, adult plant resistance (APR) is a widely adopted form of rust resistance because more durable mechanisms often underpin it. However, only a handful of SR APR genes are available, so breeders currently strive to combine seedling and APR genes. Phenotyping adult wheat plants for resistance to SR typically involves evaluation in the field. But establishing a rust nursery can be challenging, and screening is limited to once a year. This slows down research efforts to isolate new APR genes and breeding of genetically resistant cultivars.In this study, we report a protocol for rapid evaluation of adult wheat plants for resistance to stem rust. We demonstrate the technique by evaluating a panel of 16 wheat genotypes consisting of near isogenic lines (NILs) for known Sr genes (i.e., Sr2, Sr33, Sr45, Sr50, Sr55, Sr57, and Sr58) and three landraces carrying uncharacterized APR from the N. I. Vavilov Institute of Plant Genetic Resources (VIR). The method can be completed in just 10 weeks and involves two inoculations: first conducted at seedling stage and a second at the adult stage (using the same plants). The technique can detect APR, such as that conferred by APR gene Sr2, along with pseudo-black chaff (the morphological marker). Phenotyping can be conducted throughout the year, and is fast and resource efficient. Further, the phenotyping method can be applied to screen breeding populations or germplasm accessions using local or exotic races of SR.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 17%
Student > Ph. D. Student 3 17%
Student > Master 2 11%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 44%
Biochemistry, Genetics and Molecular Biology 2 11%
Business, Management and Accounting 1 6%
Unknown 7 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 February 2018.
All research outputs
#6,407,954
of 23,419,482 outputs
Outputs from Methods in molecular biology
#1,912
of 13,324 outputs
Outputs of similar age
#118,365
of 423,335 outputs
Outputs of similar age from Methods in molecular biology
#214
of 1,074 outputs
Altmetric has tracked 23,419,482 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 85% 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 423,335 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% 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 80% of its contemporaries.