Literature DB >> 21030098

Making the most of 'omics' for crop breeding.

Peter Langridge1, Delphine Fleury.   

Abstract

Adoption of new breeding technologies is likely to underpin future gains in crop productivity. The rapid advances in 'omics' technologies provide an opportunity to generate new datasets for crop species. Integration of genome and functional omics data with genetic and phenotypic information is leading to the identification of genes and pathways responsible for important agronomic phenotypes. In addition, high-throughput genotyping technologies enable the screening of large germplasm collections to identify novel alleles from diverse sources, thus offering a major expansion in the variation available for breeding. In this review, we discuss these advances, which have opened the door to new techniques for construction and screening of breeding populations, to increase ultimately the efficiency of selection and accelerate the rates of genetic gain.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 21030098     DOI: 10.1016/j.tibtech.2010.09.006

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  51 in total

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2.  Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios.

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Journal:  Plant Physiol       Date:  2016-07-19       Impact factor: 8.340

Review 3.  Integrated genomics and molecular breeding approaches for dissecting the complex quantitative traits in crop plants.

Authors:  Alice Kujur; Maneesha S Saxena; Deepak Bajaj; Swarup K Parida
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4.  Understanding DNA repair and recombination in higher plant genome: information from genome-wide screens in Arabidopsis and rice.

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Review 5.  The potential of transcription factor-based genetic engineering in improving crop tolerance to drought.

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Review 6.  "Omics" of maize stress response for sustainable food production: opportunities and challenges.

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Journal:  OMICS       Date:  2014-12

7.  Types, levels and patterns of low-copy DNA sequence divergence, and phylogenetic implications, for Gossypium genome types.

Authors:  J Rong; X Wang; S R Schulze; R O Compton; T D Williams-Coplin; V Goff; P W Chee; A H Paterson
Journal:  Heredity (Edinb)       Date:  2012-05       Impact factor: 3.821

Review 8.  Networks controlling seed size in Arabidopsis.

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Journal:  Plant Reprod       Date:  2015-02-06       Impact factor: 3.767

Review 9.  Nitrogen use efficiency (NUE): elucidated mechanisms, mapped genes and gene networks in maize (Zea mays L.).

Authors:  Shabir H Wani; Roshni Vijayan; Mukesh Choudhary; Anuj Kumar; Abbu Zaid; Vishal Singh; Pardeep Kumar; Jeshima Khan Yasin
Journal:  Physiol Mol Biol Plants       Date:  2021-12-22

10.  Identification of the key functional genes in salt-stress tolerance of Cyanobacterium Phormidium tenue using in silico analysis.

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Journal:  3 Biotech       Date:  2021-11-18       Impact factor: 2.406

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