Advances in cereal genomics and applications in crop breeding

Varshney, R K and Hoisington, D A and Tyagi, A K (2006) Advances in cereal genomics and applications in crop breeding. Trends in Biotechnology, 24 (11). pp. 490-499.

[img] PDF - Published Version
Restricted to ICRISAT users only

Download (358kB) | Request a copy


Recent advances in cereal genomics have made it possible to analyse the architecture of cereal genomes and their expressed components, leading to an increase in our knowledge of the genes that are linked to key agronomically important traits. These studies have used molecular genetic mapping of quantitative trait loci (QTL) of several complex traits that are important in breeding. The identification and molecular cloning of genes underlying QTLs offers the possibility to examine the naturally occurring allelic variation for respective complex traits. Novel alleles, identified by functional genomics or haplotype analysis, can enrich the genetic basis of cultivated crops to improve productivity. Advances made in cereal genomics research in recent years thus offer the opportunities to enhance the prediction of phenotypes from genotypes for cereal breeding.

Item Type: Article
Subjects: Others > Agriculture-Farming, Production, Technology, Economics
Depositing User: Library ICRISAT
Date Deposited: 11 Oct 2011 10:45
Last Modified: 01 Jan 2014 08:41
Official URL:
Funders: Generation Challenge Programme, Syngenta Foundation for Sustainable Agriculture, Government of India - Department of Biotechnology
Acknowledgement: The research of authors at ICRISAT (RKV, DAH) is supported by grants from Generation Challenge Programme (GCP) of Consultative Group on International Agricultural Research (CGIAR) and Syngenta Foundation for Sustainable Agriculture (SFSA), whereas AKT acknowledges the support of Department of Biotechnology (DBT), Government of India for supporting research activities at ICPG. Thanks are due to Mahendar Thudi and Spurthi Nayak for their help in formatting and editing references for the article.
View Statistics

Actions (login required)

View Item View Item