Association mapping of yield and its components in rice cultivars

By H. Agrama, G. Eizenga, W. Yan. Molecular breeding, 2007

341 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1805fe8545ce30566a82dd0da38e8fb24b0eea05

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In Genetics

In Plant Science

Citations in the corpus

Genetic Assessment of a Mini‐Core Subset Developed from the USDA Rice Genebank (2009, background): “However, the phenotypic and genotypic information is absolutely needed for association mapping of valuable traits controlled by numerous genes and allelic analysis of their linked markers (Agrama and Eizenga, 2008; Agrama et al., 2007).”
Recent Updates on Salinity Stress in Rice: From Physiological to Molecular Responses (2011, background): “The first studies concerned yield components (Agrama et al., 2007), size and shape of milled grains (Iwata et al., 2007), and diverse qualitative and quantitative agronomic traits (Huang et al., 2010).”
Genetic diversity, linkage disequilibrium, and association mapping analyses of peach (Prunus persica) landraces in China (2012, background): “Two main approaches are available for mapping the relevant genes and identifying the variants associated with these complex traits: linkage mapping in families and population-based genetic association studies (Agrama et al. 2007 ).”
Molecular diversity and genome-wide linkage disequilibrium patterns in a worldwide collection of Oryza sativa and its wild relatives (2008, background): “The distance between SSR markers currently employed for routine Wngerprinting in plant breeding programs typically ranges over several cM (Agrama et al. 2007).”
Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.) (2010, background): “However, in some cases, it was still detectable over much longer distances, while in others the decay occurred over a rather short distance (Agrama et al. 2007). A similar situation clearly obtains in wheat, which is not unexpected given that rice and wheat are related species and both are self-poll”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, neutral): “It”