Journal article
Analytical and decision support tools for Genomics-Assisted Breeding
Trends in Plant Science, Vol.21(4), pp.354-363
2016
Abstract
To successfully implement genomics-assisted breeding (GAB) in crop improvement programs, efficient and effective analytical and decision support tools (ADSTs) are ‘must haves’ to evaluate and select plants for developing next-generation crops. Here we review the applications and deployment of appropriate ADSTs for GAB, in the context of next-generation sequencing (NGS), an emerging source of massive genomic information. We discuss suitable software tools and pipelines for marker-based approaches (markers/haplotypes), including large-scale genotypic and phenotypic, data management, and molecular breeding approaches. Although phenotyping remains expensive and time consuming, prediction of allelic effects on phenotypes opens new doors to enhance genetic gain across crop cycles, building on reliable phenotyping approaches and good crop information systems, including pedigree information and target haplotypes.
Details
- Title
- Analytical and decision support tools for Genomics-Assisted Breeding
- Authors/Creators
- R.K. Varshney (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsV.K. Singh (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsJ.M. Hickey (Author/Creator) - Roslin InstituteX. Xun (Author/Creator) - BGI Group (China)D.F. Marshall (Author/Creator) - James Hutton InstituteJ. Wang (Author/Creator) - BGI Group (China)D. Edwards (Author/Creator) - The University of Western AustraliaJ-M Ribaut (Author/Creator) - Centro Internacional de Mejoramiento de Maíz Y Trigo
- Publication Details
- Trends in Plant Science, Vol.21(4), pp.354-363
- Publisher
- Elsevier BV
- Identifiers
- 991005543475207891
- Copyright
- © 2015 The Authors.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.96 QTL
- Web Of Science research areas
- Plant Sciences
- ESI research areas
- Plant & Animal Science