In:
Genetical Research, Hindawi Limited, Vol. 77, No. 1 ( 2001-02), p. 95-106
Abstract:
Many studies of QTL locations record several different traits on the same population, but most
analyses look at this information on a trait-by-trait basis. In this paper we show how the regression approach to QTL mapping of Haley & Knott (1992) may be extended to a multi-trait
analysis via multivariate regression, easily programmed in statistical packages. A procedure for identifying QTL locations using forward selection and bootstrapping is proposed. The method is
applied to examine the locations for QTLs for six yield characters (the number of fertile stems, the grain number of the main stem, the main stem grain weight, the single plant yield, the plot yield
and the thousand grain weight) in a doubled haploid population of spring barley. Several chromosomal locations with effects on more than one trait are found. The method is also suitable
for examining a single trait measured in different years or environments, and is used here to examine data on heading date, a highly heritable trait, and plot yield, a trait with moderate
heritability and showing QTL–environment interactions.
Type of Medium:
Online Resource
ISSN:
0016-6723
,
1469-5073
DOI:
10.1017/S0016672300004869
Language:
English
Publisher:
Hindawi Limited
Publication Date:
2001
detail.hit.zdb_id:
2412684-6
detail.hit.zdb_id:
1472156-9
SSG:
12
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