A new version of this entry is available:
Loading...
Article
2021
Optimum breeding strategies using genomic and phenotypic selection for the simultaneous improvement of two traits
Optimum breeding strategies using genomic and phenotypic selection for the simultaneous improvement of two traits
Abstract (English)
Selection indices using genomic information have been proposed in crop-specific scenarios. Routine use of genomic selection (GS) for simultaneous improvement of multiple traits requires information about the impact of the available economic and logistic resources and genetic properties (variances, trait correlations, and prediction accuracies) of the breeding population on the expected selection gain. We extended the R package “selectiongain” from single trait to index selection to optimize and compare breeding strategies for simultaneous improvement of two traits. We focused on the expected annual selection gain (ΔGa) for traits differing in their genetic correlation, economic weights, variance components, and prediction accuracies of GS. For all scenarios considered, breeding strategy GSrapid (one-stage GS followed by one-stage phenotypic selection) achieved higher ΔGa than classical two-stage phenotypic selection, regardless of the index chosen to combine the two traits and the prediction accuracy of GS. The Smith–Hazel or base index delivered higher ΔGa for net merit and individual traits compared to selection by independent culling levels, whereas the restricted index led to lower ΔGa in net merit and divergent results for selection gain of individual traits. The differences among the indices depended strongly on the correlation of traits, their variance components, and economic weights, underpinning the importance of choosing the selection indices according to the goal of the breeding program. We demonstrate our theoretical derivations and extensions of the R package “selectiongain” with an example from hybrid wheat by designing indices to simultaneously improve grain yield and grain protein content or sedimentation volume.
File is subject to an embargo until
This is a correction to:
A correction to this entry is available:
This is a new version of:
Notes
Publication license
Publication series
Published in
Theoretical and applied genetics, 134 (2021), 12, 4025-4042.
https://doi.org/10.1007/s00122-021-03945-5.
ISSN: 1432-2242
Other version
Faculty
Institute
Examination date
Supervisor
Edition / version
Citation
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
630 Agriculture
Original object
Standardized keywords (GND)
Sustainable Development Goals
BibTeX
@article{Marulanda2021,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16525},
doi = {10.1007/s00122-021-03945-5},
author = {Marulanda, Jose J. and Mi, Xuefei and Utz, H. Friedrich et al.},
title = {Optimum breeding strategies using genomic and phenotypic selection for the simultaneous improvement of two traits},
journal = {Theoretical and applied genetics},
year = {2021},
volume = {134},
number = {12},
}