Searching for interacting QTL in related populations of an outbreeding species

J. Jansen; M.P. Boer; M.C.A.M. Bink; W.E. van de Weg

doi:10.1007/s10681-008-9849-4

Searching for interacting QTL in related populations of an outbreeding species

J. Jansen, M.P. Boer, M.C.A.M. Bink, W.E. van de Weg

PE&RC

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Scopus)

Abstract

Many important crop species are outbreeding. In outbreeding species the search for genes affecting traits is complicated by the fact that in a single cross up to four alleles may be present at each locus. This paper is concerned with the search for interacting quantitative trait loci (QTL) in populations which have been obtained by crossing a number of parents. It will be assumed that the parents are unrelated, but the methods can be extended easily to allow a pedigree structure. The approach has two goals: (1) finding QTL that are interacting with other loci and also loci which behave additively; (2) finding parents which segregate at two or more interacting QTL. Large populations obtained by crossing these parents can be used to study interactions in detail. QTL analysis is carried out by means of regression on predictions of QTL genotypes.

Original language	English
Pages (from-to)	131-144
Journal	Euphytica
Volume	166
Issue number	1
DOIs	https://doi.org/10.1007/s10681-008-9849-4
Publication status	Published - 2009

Keywords

quantitative trait loci
dimensional genome searches
variance-components
epistasis
models
pedigrees

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abstract = "Many important crop species are outbreeding. In outbreeding species the search for genes affecting traits is complicated by the fact that in a single cross up to four alleles may be present at each locus. This paper is concerned with the search for interacting quantitative trait loci (QTL) in populations which have been obtained by crossing a number of parents. It will be assumed that the parents are unrelated, but the methods can be extended easily to allow a pedigree structure. The approach has two goals: (1) finding QTL that are interacting with other loci and also loci which behave additively; (2) finding parents which segregate at two or more interacting QTL. Large populations obtained by crossing these parents can be used to study interactions in detail. QTL analysis is carried out by means of regression on predictions of QTL genotypes.",

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AU - Boer, M.P.

AU - Bink, M.C.A.M.

AU - van de Weg, W.E.

PY - 2009

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N2 - Many important crop species are outbreeding. In outbreeding species the search for genes affecting traits is complicated by the fact that in a single cross up to four alleles may be present at each locus. This paper is concerned with the search for interacting quantitative trait loci (QTL) in populations which have been obtained by crossing a number of parents. It will be assumed that the parents are unrelated, but the methods can be extended easily to allow a pedigree structure. The approach has two goals: (1) finding QTL that are interacting with other loci and also loci which behave additively; (2) finding parents which segregate at two or more interacting QTL. Large populations obtained by crossing these parents can be used to study interactions in detail. QTL analysis is carried out by means of regression on predictions of QTL genotypes.

AB - Many important crop species are outbreeding. In outbreeding species the search for genes affecting traits is complicated by the fact that in a single cross up to four alleles may be present at each locus. This paper is concerned with the search for interacting quantitative trait loci (QTL) in populations which have been obtained by crossing a number of parents. It will be assumed that the parents are unrelated, but the methods can be extended easily to allow a pedigree structure. The approach has two goals: (1) finding QTL that are interacting with other loci and also loci which behave additively; (2) finding parents which segregate at two or more interacting QTL. Large populations obtained by crossing these parents can be used to study interactions in detail. QTL analysis is carried out by means of regression on predictions of QTL genotypes.

KW - quantitative trait loci

KW - dimensional genome searches

KW - variance-components

KW - epistasis

KW - models

KW - pedigrees

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DO - 10.1007/s10681-008-9849-4

M3 - Article

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SP - 131

EP - 144

JO - Euphytica

JF - Euphytica

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ER -

Searching for interacting QTL in related populations of an outbreeding species

Abstract

Keywords

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