Hackett C A, Meyer R C, Thomas W T
Biomathematics and Statistics Scotland, Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK.
Genet Res. 2001 Feb;77(1):95-106. doi: 10.1017/s0016672300004869.
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.
许多数量性状基因座（QTL）定位研究在同一群体中记录了几种不同的性状，但大多数分析是逐个性状地看待这些信息。在本文中，我们展示了Haley和Knott（1992）的QTL定位回归方法如何通过多元回归扩展到多性状分析，这在统计软件包中很容易编程实现。本文提出了一种使用向前选择和自抽样法来识别QTL位置的程序。该方法被应用于检测春大麦双单倍体群体中六个产量性状（有效茎数、主茎粒数、主茎粒重、单株产量、小区产量和千粒重）的QTL位置。发现了几个对多个性状有影响的染色体位置。该方法也适用于检测在不同年份或环境中测量的单一性状，本文用其检测了抽穗期数据（一个遗传力高的性状）和小区产量数据（一个遗传力中等且显示QTL - 环境互作的性状）。
