Association Analysis as a Strategy for Improvement of Quantitative Traits in Plants
By F. Breseghello, M. Sorrells. 2006
274 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/1919810db463e0de54ad90d942cfb30f0f76da20
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In Genetics
- M. Sorrells
- Jean-Luc Jannink
- Yunbi Xu
- K. Semagn
- Rajeev K. Varshney
- Å. Bjornstad
- R. Bernardo
- E. Heffner
In Plant Science
- M. Sorrells
- Jean-Luc Jannink
- Yunbi Xu
- K. Semagn
- Å. Bjornstad
- Rajeev K. Varshney
- R. Bernardo
- E. Heffner
Citations in the corpus
- Microsatellite markers: an overview of the recent progress in plants (2011, background): “The correlation between SSR markers and wheat kernel size was detected by association mapping using elite germplasm (Breseghello and Sorrells 2006a).”
- Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, unknown): “…well as a reduction in water and mineral uptake (Ouzonidou et al. , 1997; Perfus-Barbeoch et al. , 2000; Shukla et al. , 2003; Sobkowiak and Deckert, 2003). defect, which is rescued by application of Fe, indicating that IRT1 is the major transporter for Fe uptake from the soil (Vert et al. , 2002).”
- Prospects for genomewide selection for quantitative traits in maize (2007, background): “Comparative genomics and association mapping usually focus on diverse germplasm, and the results from these approaches may not be readily applicable to selection in narrow, elite germplasm ( Breseghello and Sorrells, 2006; Fig. 3). Candidate gene approaches, which are not mutually exclusive of comp”
- Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.) (2010, methodology): “…applied (e.g., Tommasini et al. 2007; Matthies et al. 2008), while genome-wide association mapping in cereals has not often been attempted to date (Breseghello and Sorrells 2006a; Kraakman et al. 2006; Roy et al. 2006), largely because of the impracticality of genotyping large numbers of entries…”
- Towards marker‐assisted selection in pulses: a review (2011, background): “(i) A natural mapping population for association analysis must be comprised of diverse individuals that can be derived from wild relatives, core collection of germplasm or subsets of breeding germplasm and elite germplasm (Breseghello and Sorrells 2006).”
- Applications of Linkage Disequilibrium and Association Mapping in Crop Plants (2007, unknown): “Selecting individuals from breeding programs offers the advantage of easy incorporation into future breeding programs, however the number of lineages incorporated in the association study becomes limited ( Breseghello and Sorrells 2006a; Breseghello and Sorrells 2006b).”
- The genetic dissection of quantitative traits in crops (2010, background): “Alternatively, populations for association mapping can be classified according to the source of materials as germplasm bank collections, synthetic populations, and elite germplasm (Breseghello and Sorrells, 2006).”
- Applications of Linkage Disequilibrium and Association Mapping in Maize (2009, background): “In an association study, Breseghello and Sorrells (2006b) investigated wheat kernel size and milling quality in an elite germplasm collection of soft-winter wheat from eastern USA.”
- Association mapping of leaf rust response in durum wheat (2009, methodology): “Controlling for major population structure effects and ‘normalising’ the panel by excluding highly related entries allowed us to further improve the mapping resolution through association mapping ( Breseghello and Sorrells 2006a ).”
- Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program (2011, background): “Alternatively, MAS cycle times can be reduced to increase gains by avoiding this phenotyping step through estimating marker eff ects with data across multiple families in a breeding program (Jannink et al., 2001; Rafalski, 2002; Breseghello and Sorrells, 2006; Heff ner et al., 2010).”
- Status and Prospects of Association Mapping in Plants (2008, background): “Alternatively, we can classify populations according to the source of materials, germplasm bank collections, synthetic populations, and elite germplasm (Breseghello and Sorrells, 2006a).”
- Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years (2008, background): “This increased genetic diversity, however, often comes at the cost of a decreased mean performance or adaptedness of the germplasm used (Breseghello and Sorrells, 2006).”