Genomics-assisted breeding for crop improvement.
By Rajeev K. Varshney, A. Graner, M. Sorrells. Trends in Plant Science, 2005
701 citations recorded by the source corpus.
Genomics research is generating new tools, such as functional molecular markers and informatics, as well as new knowledge about statistics and inheritance phenomena that could increase the efficiency and precision of crop improvement. In particular, the elucidation of the fundamental mechanisms of heterosis and epigenetics, and their manipulation, has great potential. Eventually, knowledge of the relative values of alleles at all loci segregating in a population could allow the breeder to design a genotype in silico and to practice whole genome selection. High costs currently limit the implementation of genomics-assisted crop improvement, particularly for inbreeding and/or minor crops. Nevertheless, marker-assisted breeding and selection will gradually evolve into 'genomics-assisted breeding' for crop improvement.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/11c52ea3cca6ba5ed328070209be1952818cba3b
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Citations in the corpus
- Breeding for Yield Potential and Stress Adaptation in Cereals (2008, background): “However, as the number of loci selected increases, particularly if the donor parent is a related wild species, linked deleterious alleles may become a problem (Varshney et al., 2005).”
- Translational Genomics in Agriculture: Some Examples in Grain Legumes (2015, background): “This process has been referred as “genomics-assisted breeding” (GAB; Varshney et al., 2005).”
- Md-ACS1 and Md-ACO1 genotyping of apple (Malus x domestica Borkh.) breeding parents and suitability for marker-assisted selection (2008, methodology): “Markers used in this study for ACS1 and ACO1 belong to the emerging category of molecular markers termed “functional” or “perfect markers”, which are derived from sequence variation of functionally analyzed genes (Andersen and Lübberstedt 2003; Varshney et al. 2005).”
- Gene Pyramiding for Sustainable Crop Improvement against Biotic and Abiotic Stresses (2020, methodology): “The technology includes transcriptomics (sequencing) [118,119], proteomics (structure and function of the proteins) [120–123], and metabolomics (detection and quantification in various biological organisms of metabolites and chemical signatures of cellular regulatory processes) [124–128] and enables”
- Impact of Genomic Technologies on Chickpea Breeding Strategies (2012, background): “improve precision and efficiency of selection in crop breeding [10].”
- Genic Molecular Markers in Plants: Development and Applications (2007, methodology): “…available (http://www.ncbi.nlm.nih.gov/dbEST/dbEST_summary.html), and software tools or pearl scripts have been developed to search for SSRs and SNPs from EST or gene sequences (Varshney et al. 2004, 2005a).”
- Marker-Assisted Selection in Plant Breeding: From Publications to Practice (2008, background): “, 2003; Peña, 2004; Holland, 2004; Salvi and Tuberosa, 2005); and (iii) manipulating (diff erentiating, selecting, pyramiding, and integrating) genetic variation in breeding populations (Stuber, 1992; Xu, 1997; Collard et al., 2005; Francia et al., 2005; Varshney et al., 2005a; Wang et al., 2007).”
- Breeding crops for reduced-tillage management in the intensive, rice–wheat systems of South Asia (2006, background): “The complete gene sequences of rice and Arabidopsis are known and our understanding of wheat and other crop genomes is improving (Varshney et al. 2005).”
- Global status of commercialized biotech/GM crops: 2006. (2006, methodology): “New molecular methods are under experimentation such as the use of mini chromosomes where a single heritable piece of the plant’s own DNA that includes the centromere region is used to deliver several genes simultaneously (Varshney et al., 2005).”