Bibliographic Details
| Title: |
Reciprocal Recurrent Genomic Selection Is Impacted by Genotype-by-Environment Interactions |
| Authors: |
Maximilian Rembe, Jochen Christoph Reif, Erhard Ebmeyer, Patrick Thorwarth, Viktor Korzun, Johannes Schacht, Philipp H. G. Boeven, Pierrick Varenne, Ebrahim Kazman, Norman Philipp, Sonja Kollers, Nina Pfeiffer, C. Friedrich H. Longin, Niklas Hartwig, Mario Gils, Yusheng Zhao |
| Source: |
Frontiers in Plant Science, Vol 12 (2021) |
| Publisher Information: |
Frontiers Media S.A., 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Plant culture |
| Subject Terms: |
grain yield, hybrid breeding, long-term selection gain, genotype-times-year interaction, abiotic stress, Plant culture, SB1-1110 |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1664-462X |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fpls.2021.703419/full; https://doaj.org/toc/1664-462X |
| DOI: |
10.3389/fpls.2021.703419 |
| Access URL: |
https://doaj.org/article/abc83c1e2a0d453e99006789026cebaf |
| Accession Number: |
edsdoj.bc83c1e2a0d453e99006789026cebaf |
| Database: |
Directory of Open Access Journals |
