Complex traits are those whose inheritance does not follow simple and predictable patterns. They are not governed by a single locus, instead, they are determined by several loci and are influenced by the environment. Most of the traits with agronomic interest and economic importance such as resistance to biotic and abiotic stress, and yield, among others, are quantitative traits and their study is based on dissecting the underlying genetic architecture, the number of loci responsible for the variance of a quantitative trait, the relevant contribution made by each locus and their interaction with the environment. This review provides the most relevant conceptual bases for the study of the genetic architecture of complex quantitative traits in plants. The methodologies that allow identifying the loci and candidate genes that govern this type of traits are described, such as QTL mapping by linkage and association mapping. In addition, the incorporation of these loci in phenotype prediction strategies such as marker-assisted selection and genomic selection, exhibits the benefits and limitations of these approaches. Finally, the challenges and perspectives facing the study of the genetic architecture of complex traits in plants are discussed.
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N Carolina State Univ, USDA ARS, Plant Sci Res Unit, Dept Crop Sci, Raleigh, NC 27695 USAN Carolina State Univ, USDA ARS, Plant Sci Res Unit, Dept Crop Sci, Raleigh, NC 27695 USA
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New York Genome Ctr, New York, NY 10013 USA
KTH Royal Inst Technol, Dept Gene Technol, Sci Life Lab, Stockholm, SwedenNew York Genome Ctr, New York, NY 10013 USA
Lappalainen, Tuuli
Li, Yang I.
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Univ Chicago, Sect Genet Med, Chicago, IL USA
Univ Chicago, Dept Human Genet, Chicago, IL USANew York Genome Ctr, New York, NY 10013 USA
Li, Yang I.
Ramachandran, Sohini
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Brown Univ, Ctr Computat Mol Biol, Ecol Evolut & Organismal Biol, Providence, RI USA
Brown Univ, Data Sci Inst, Providence, RI USANew York Genome Ctr, New York, NY 10013 USA
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Univ New South Wales, Fac Med, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia
Neurosci Res Australia, Sydney, NSW, AustraliaUniv New South Wales, Fac Med, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia
Mather, Karen A.
Thalamuthu, Anbupalam
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Univ New South Wales, Fac Med, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, AustraliaUniv New South Wales, Fac Med, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia
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Michigan State Univ, Dept Phys & Astron, E Lansing, MI 48824 USAMichigan State Univ, Dept Phys & Astron, E Lansing, MI 48824 USA
Yong, Soke Yuen
Raben, Timothy G.
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Michigan State Univ, Dept Phys & Astron, E Lansing, MI 48824 USAMichigan State Univ, Dept Phys & Astron, E Lansing, MI 48824 USA
Raben, Timothy G.
Lello, Louis
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Michigan State Univ, Dept Phys & Astron, E Lansing, MI 48824 USA
Genom Predict, North Brunswick, NJ USAMichigan State Univ, Dept Phys & Astron, E Lansing, MI 48824 USA
Lello, Louis
Hsu, Stephen D. H.
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Michigan State Univ, Dept Phys & Astron, E Lansing, MI 48824 USA
Genom Predict, North Brunswick, NJ USAMichigan State Univ, Dept Phys & Astron, E Lansing, MI 48824 USA