Reciprocal Recurrent Genomic Selection Is Impacted by Genotype-by-Environment Interactions

Copyright © 2021 Rembe, Reif, Ebmeyer, Thorwarth, Korzun, Schacht, Boeven, Varenne, Kazman, Philipp, Kollers, Pfeiffer, Longin, Hartwig, Gils and Zhao..

Reciprocal recurrent genomic selection is a breeding strategy aimed at improving the hybrid performance of two base populations. It promises to significantly advance hybrid breeding in wheat. Against this backdrop, the main objective of this study was to empirically investigate the potential and limitations of reciprocal recurrent genomic selection. Genome-wide predictive equations were developed using genomic and phenotypic data from a comprehensive population of 1,604 single crosses between 120 female and 15 male wheat lines. Twenty superior female lines were selected for initiation of the reciprocal recurrent genomic selection program. Focusing on the female pool, one cycle was performed with genomic selection steps at the F2 (60 out of 629 plants) and the F5 stage (49 out of 382 plants). Selection gain for grain yield was evaluated at six locations. Analyses of the phenotypic data showed pronounced genotype-by-environment interactions with two environments that formed an outgroup compared to the environments used for the genome-wide prediction equations. Removing these two environments for further analysis resulted in a selection gain of 1.0 dt ha-1 compared to the hybrids of the original 20 parental lines. This underscores the potential of reciprocal recurrent genomic selection to promote hybrid wheat breeding, but also highlights the need to develop robust genome-wide predictive equations.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Frontiers in plant science - 12(2021) vom: 01., Seite 703419

Sprache:

Englisch

Beteiligte Personen:

Rembe, Maximilian [VerfasserIn]
Reif, Jochen Christoph [VerfasserIn]
Ebmeyer, Erhard [VerfasserIn]
Thorwarth, Patrick [VerfasserIn]
Korzun, Viktor [VerfasserIn]
Schacht, Johannes [VerfasserIn]
Boeven, Philipp H G [VerfasserIn]
Varenne, Pierrick [VerfasserIn]
Kazman, Ebrahim [VerfasserIn]
Philipp, Norman [VerfasserIn]
Kollers, Sonja [VerfasserIn]
Pfeiffer, Nina [VerfasserIn]
Longin, C Friedrich H [VerfasserIn]
Hartwig, Niklas [VerfasserIn]
Gils, Mario [VerfasserIn]
Zhao, Yusheng [VerfasserIn]

Links:

Volltext

Themen:

Abiotic stress
Genotype-times-year interaction
Grain yield
Hybrid breeding
Journal Article
Long-term selection gain

Anmerkungen:

Date Revised 12.10.2021

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fpls.2021.703419

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM33171390X