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Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets

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Title Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets
 
Creator Sabadin, Felipe
César DoVale, Julio
Platten, John Damien
Fritsche-Neto, Roberto
 
Subject genomics
selection criteria
pollination
 
Description Long-term breeding schemes using genomic selection (GS) can boost the response to selection per year. Although several studies have shown that GS delivers a higher response to selection, only a few analyze which stage GS produces better results and how to update the training population to maintain prediction accuracy. We used stochastic simulation to compare five GS breeding schemes in a self-pollinated long-term breeding program. Also, we evaluated four strategies, using distinct methods and sizes, to update the training set. Finally, regarding breeding schemes, we proposed a new approach using GS to select the best individuals in each F2 progeny, based on genomic estimated breeding values and genetic divergence, to cross them and generate a new recombination event. Our results showed that the best scenario was using GS in F2, followed by the phenotypic selection of new parents in F4. For TS updating, adding new data every cycle (over 768) to update the TS maintains the prediction accuracy at satisfactory levels for more breeding cycles. However, only the last three generations can be kept in the TS, optimizing the genetic relationship between TS and the targeted population and reducing the computing demand and risks. Hence, we believe that our results may help breeders optimize GS in their programs and improve genetic gain in long-term schemes.
 
Date 2022-10-06
2022-12-22T13:59:49Z
2022-12-22T13:59:49Z
 
Type Journal Article
 
Identifier Sabadin F, DoVale JC, Platten JD and Fritsche-Neto R (2022) Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets. Front. Plant Sci. 13:935885. doi: 10.3389/fpls.2022.935885
1664-462X
https://hdl.handle.net/10568/126257
https://doi.org/10.3389/fpls.2022.935885
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 1-12
application/pdf
 
Publisher Frontiers Media SA
 
Source Frontiers in Plant Science