Functional QTL mapping and genomic prediction of 3D height in wheat measured using a robotic field phenotyping platform

Published: 16 July 2019| Version 2 | DOI: 10.17632/pkxpkw6j43.2
Contributor:
Danilo Hottis Lyra

Description

We provided the raw phenotypic data (FA_data_raw.RData), and individual-TP BLUPs, B-spline bases, and the first functional PCs from the 5, 10, and 26 TPs (phenotypic_traits.RData). The rqtl package input files for scenarios R1, R5, and R9 are also provided (CSP_ph17_5t_R1, CSP_ph17_10t_R5, and CSP_ph17_R9). The additive genomic relationship matrix is available as VanRaden_matrixCSP.RData. The codes provided are (1) factor analytic model, (2) smoothing and dimensionality reduction, QTL scanning using (3) individual-TP and (4) functional mapping, (5) power simulations, genomic prediction (6) with and (7) without including covariates as fixed effects.

Files

Institutions

Rothamsted Research

Categories

QTL Mapping, Genomic Selection, Phenotyping, Time Series, Smoothing Curve

License