print.summary.mppData

Analysis of experimental multi-parent populations to detect regions
of the genome (called quantitative trait loci, QTLs) influencing
phenotypic traits measured in unique and multiple environments.
The population must be composed of crosses between a set of at
least three parents (e.g. factorial design, 'diallel', or nested
association mapping). The functions cover data processing,
QTL detection, and results visualization. The implemented methodology
is described in Garin, Wimmer, Mezmouk, Malosetti and van Eeuwijk (2017)
<doi:10.1007/s00122-017-2923-3>, in Garin, Malosetti
and van Eeuwijk (2020) <doi: 10.1007/s00122-020-03621-0>,
and in Garin, Diallo, Tekete, Thera, ..., and Rami (2024) <doi: 10.1093/genetics/iyae003>.

Vincent Garin

mppR

Multi-Parent Population QTL Analysis

Valentin Wimmer

Dietrich Borchardt

Fred van Eeuwijk

Marcos Malosetti

print.summary.mppData function

<dl><dt>x</dt>
<dd>object of class <code>summary.mppData</code></dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Print summary.mppData object — print.summary.mppData

<dl>

<dt>x</dt>
<dd>object of class <code>summary.mppData</code></dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

Print summary.mppData object

print.summary.mppData: Print summary.mppData object

Description

Usage

Arguments

Examples