Hello guest
Your basket is empty
We provide two pathways to the content. Thematic (chapters that address certain themes, e.g. cultivation, regardless of crop or animal type) and Product (chapters that relate to a specific type of crop or animal). Choose the most applicable route to find the right collection for you. 
Can’t find what you are looking for? Contact us and let us help you build a custom-made collection. 
You are in: All categories > A-Z Chapters > R
Use the Contact form to discuss the best purchasing method for you... Start building your collection today!

Recent molecular technologies for tackling wheat diseases

Code: 9781838793241
Indu Sharma, Pramod Prasad and Subhash C. Bhardwaj, ICAR-Indian Institute of Wheat and Barley Research, India

Chapter synopsis: There is a growing need to improve the management of wheat diseases if wheat production is to keep pace with a growing population. This chapter reviews the array of technologies and new methods available to improve resistance to wheat diseases. These techniques include SAR, ISR, the application of Effectors, Transcription factors, PR protein, RNAi, VIGS, Plantibodies, Genome editing, Genome wide selection, MAS, Tilling population, Gene cassettes and epigenetics.

DOI: 10.19103/AS.2016.0004.38
Table of contents1 Introduction 2 Understanding host response to pathogen attack 3 Current strategies for combatting wheat diseases 4 Transgenic approaches to develop disease resistance in wheat: R and APR gene, effectors and transcription factor/peptides-mediated disease resistance 5 Transgenic approaches to develop disease resistance in wheat: pathogenesisrelated (PR) protein, RNA interference (RNAi), virus-induced gene silencing (VIGS) and genome editing-mediated disease resistance 6 Marker-assisted selection (MAS) and genomic selection (GS)-based resistance breeding 7 TILLING (Targeting Induced Local Lesions in Genomes)-based resistance breeding and gene pyramiding 8 Systemic acquired resistance (SAR) and induced systemic resistance (ISR) 9 New methods for detecting and modelling plant pathogens 10 Conclusions 11 Where to look for further information 12 References

Also in R

Our site uses cookies. For more information, see our cookie policy. Accept cookies and close
Reject cookies Manage settings