Generalized composite interval mapping offers improved efficiency in the analysis of loci influencing non-normal continuous traits
In genetic studies, most Quantitative Trait Loci (QTL) mapping methods presuppose that the continuous trait of interest follows a normal (Gaussian) distribution. However, many economically important traits of agricultural crops have a non-normal distribution. Composite interval mapping (CIM) has bee...
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Autores principales: | , , , |
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Lenguaje: | English |
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Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
2010
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Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000300007 |
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