New insights into trait introgression with the look-ahead intercrossing strategy
AbstractTrait introgression (TI) can be a time-consuming and costly task that typically requires multiple generations of backcrossing (BC). Usually, the aim is to introduce one or more alleles (e.g. QTLs) from a single donor into an elite recipient, both of which are fully inbred. Th...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Oxford University Press
2023-02-01
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| Series: | G3: Genes, Genomes, Genetics |
| Online Access: | https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkad042 |
| _version_ | 1827909768140816384 |
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| author | Zheng Ni Saba Moeinizade Aaron Kusmec Guiping Hu Lizhi Wang Patrick S Schnable |
| author_facet | Zheng Ni Saba Moeinizade Aaron Kusmec Guiping Hu Lizhi Wang Patrick S Schnable |
| author_sort | Zheng Ni |
| collection | DOAJ |
| description |
AbstractTrait introgression (TI) can be a time-consuming and costly task that typically requires multiple generations of backcrossing (BC). Usually, the aim is to introduce one or more alleles (e.g. QTLs) from a single donor into an elite recipient, both of which are fully inbred. This article studies the potential advantages of incorporating intercrossing (IC) into TI programs when compared with relying solely on the traditional BC framework. We simulate a TI breeding pipeline using 3 previously proposed selection strategies for the traditional BC scheme and 3 modified strategies that allow IC. Our proposed look-ahead intercrossing method (LAS-IC) combines look-ahead Monte Carlo simulations, intercrossing, and additional selection criteria to improve computational efficiency. We compared the efficiency of the 6 strategies across 5 levels of resource availability considering the generation when the major QTLs have been successfully introduced into the recipient and a desired background recovery rate reached. Simulations demonstrate that the inclusion of intercrossing in a TI program can substantially increase efficiency and the probability of success. The proposed LAS-IC provides the highest probability of success across the different scenarios using fewer resources compared with BC-only strategies. |
| first_indexed | 2024-03-13T01:42:33Z |
| format | Article |
| id | doaj.art-39f806bf50724b3b8a5898f2c9d620c7 |
| institution | Directory Open Access Journal |
| issn | 2160-1836 |
| language | English |
| last_indexed | 2024-03-13T01:42:33Z |
| publishDate | 2023-02-01 |
| publisher | Oxford University Press |
| record_format | Article |
| series | G3: Genes, Genomes, Genetics |
| spelling | doaj.art-39f806bf50724b3b8a5898f2c9d620c72023-07-03T11:18:22ZengOxford University PressG3: Genes, Genomes, Genetics2160-18362023-02-0113410.1093/g3journal/jkad042New insights into trait introgression with the look-ahead intercrossing strategyZheng Ni0https://orcid.org/0000-0003-3559-311XSaba Moeinizade1Aaron Kusmec2https://orcid.org/0000-0003-2295-385XGuiping Hu3https://orcid.org/0000-0001-8392-8442Lizhi Wang4https://orcid.org/0000-0002-5527-4047Patrick S Schnable5https://orcid.org/0000-0001-9169-5204Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USADepartment of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USADepartment of Agronomy, Iowa State University, Ames, IA 50011, USADepartment of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USADepartment of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USADepartment of Agronomy, Iowa State University, Ames, IA 50011, USA AbstractTrait introgression (TI) can be a time-consuming and costly task that typically requires multiple generations of backcrossing (BC). Usually, the aim is to introduce one or more alleles (e.g. QTLs) from a single donor into an elite recipient, both of which are fully inbred. This article studies the potential advantages of incorporating intercrossing (IC) into TI programs when compared with relying solely on the traditional BC framework. We simulate a TI breeding pipeline using 3 previously proposed selection strategies for the traditional BC scheme and 3 modified strategies that allow IC. Our proposed look-ahead intercrossing method (LAS-IC) combines look-ahead Monte Carlo simulations, intercrossing, and additional selection criteria to improve computational efficiency. We compared the efficiency of the 6 strategies across 5 levels of resource availability considering the generation when the major QTLs have been successfully introduced into the recipient and a desired background recovery rate reached. Simulations demonstrate that the inclusion of intercrossing in a TI program can substantially increase efficiency and the probability of success. The proposed LAS-IC provides the highest probability of success across the different scenarios using fewer resources compared with BC-only strategies.https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkad042 |
| spellingShingle | Zheng Ni Saba Moeinizade Aaron Kusmec Guiping Hu Lizhi Wang Patrick S Schnable New insights into trait introgression with the look-ahead intercrossing strategy G3: Genes, Genomes, Genetics |
| title | New insights into trait introgression with the look-ahead intercrossing strategy |
| title_full | New insights into trait introgression with the look-ahead intercrossing strategy |
| title_fullStr | New insights into trait introgression with the look-ahead intercrossing strategy |
| title_full_unstemmed | New insights into trait introgression with the look-ahead intercrossing strategy |
| title_short | New insights into trait introgression with the look-ahead intercrossing strategy |
| title_sort | new insights into trait introgression with the look ahead intercrossing strategy |
| url | https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkad042 |
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