Record Details

Optimizing quantitative trait loci introgression in elite rice germplasms: Comparing methods and population sizes to develop new recipients via stochastic simulations

CGSpace

View Archive Info
 
 
Field Value
 
Title Optimizing quantitative trait loci introgression in elite rice germplasms: Comparing methods and population sizes to develop new recipients via stochastic simulations
 
Creator Platten, John Damien
Fritsche-Neto, Roberto
 
Subject gene transfer
genomics
genomic selection
simulation
 
Description This study compared three strategies to develop new recipients for quantitative trait loci (QTL) introgression (background recovery [BG], selective sweep [SS] and breeding value [BV]) in a short-term rice breeding programme (over five breeding cycles). Furthermore, we evaluated two different numbers of recipients (10 and 20) in the introgression process and how they influence the population performance and the QTL fixation over cycles. Finally, we used the International Rice Research Institute (IRRI) rice breeding framework as the model to perform the stochastic simulations. Each strategy was simulated and replicated 100 times. Regardless of the selection strategy used, the QTL introgression resulted in substantial penalties in yield performance. However, introducing fewer new parents to the augmentation process minimized this effect. Conversely, the time required to achieve fixation of target QTLs showed substantial differences, with selection for BV during augmentation outperforming other methods. Overall, the BV_10 strategy (10 parents selected based on genomic estimated BV) displayed the best trade-off between reduced penalty from introducing new QTLs with a reasonable speed at which those QTLs can achieve fixation over subsequent breeding cycles.
 
Date 2023-05-14
2023-11-03T13:20:36Z
2023-11-03T13:20:36Z
 
Type Journal Article
 
Identifier Platten, J. D., & Fritsche-Neto, R. (2023). Optimizing quantitative trait loci introgression in elite rice germplasms: Comparing methods and population sizes to develop new recipients via stochastic simulations. PlantBreeding,142(4), 439–448. https://doi.org/10.1111/pbr.13118448
1439-0523
https://hdl.handle.net/10568/132706
https://doi.org/10.1111/pbr.13118
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 439-448
application/pdf
 
Publisher Wiley
 
Source Plant Breeding