Modern Genomic Tools for Pigeonpea Improvement: Status and Prospects View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Abhishek Bohra , Shalini Pareek , Rintu Jha , Rachit K. Saxena , Indra P. Singh , Gaurav Pandey , Raj K. Mishra , Farindra Singh , Mayank Kaashyap , Rohit Joshi , Rajeev K. Varshney

ABSTRACT

Pigeonpea owing to its ability to sustain harsh environment and limited input/water requirement remains an excellent remunerative crop in the face of increasing climatic adversities. With nearly 70% share in global pigeonpea production, India is the leading pigeonpea producing country. Since the mid-1900s, constant research efforts directed to improve yield and resistance levels of pigeonpea have resulted in the development and deployment of several commercially accepted cultivars in India, accommodating into diverse agro-climatic zones. However, the crop productivity needs incremental improvements in order to meet the growing nutritional demands, especially in developing countries like India where pigeonpea forms a dominant part of vegetarian diet. Empowering crop improvement strategies with genomic tool kit is imperative to attain the project gains in crop yield. In the context, adoption of next-generation sequencing (NGS) technology has helped establish a wide range of genomic resources to support pigeonpea breeding, and the existing molecular tool kit includes genome-wide genetic markers, transcriptome/genome assemblies, and candidate genes/QTLs for target traits. Similarly, availability of whole mitochondrial genome sequence and derived DNA markers is immensely relevant in order to furthering the understanding of cytoplasmic male sterility (CMS) system and hybrid breeding. This chapter covers the progress of developing modern genomic resources in pigeonpea and highlights their vital role in designing future crop breeding schemes. More... »

PAGES

41-54

References to SciGraph publications

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  • Book

    TITLE

    The Pigeonpea Genome

    ISBN

    978-3-319-63795-2
    978-3-319-63797-6

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-63797-6_5

    DOI

    http://dx.doi.org/10.1007/978-3-319-63797-6_5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1099683754


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