Genomic selection strategies to increase genetic gain in tea breeding programs
Abstract Tea [Camellia sinensis (L.) O. Kuntze] is mainly grown in low‐ to middle‐income countries (LMIC) and is a global commodity. Breeding programs in these countries face the challenge of increasing genetic gain because the accuracy of selecting superior genotypes is low and resources are limite...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-03-01
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| Series: | The Plant Genome |
| Online Access: | https://doi.org/10.1002/tpg2.20282 |
| _version_ | 1811154967204986880 |
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| author | Nelson Lubanga Festo Massawe Sean Mayes Gregor Gorjanc Jon Bančič |
| author_facet | Nelson Lubanga Festo Massawe Sean Mayes Gregor Gorjanc Jon Bančič |
| author_sort | Nelson Lubanga |
| collection | DOAJ |
| description | Abstract Tea [Camellia sinensis (L.) O. Kuntze] is mainly grown in low‐ to middle‐income countries (LMIC) and is a global commodity. Breeding programs in these countries face the challenge of increasing genetic gain because the accuracy of selecting superior genotypes is low and resources are limited. Phenotypic selection (PS) is traditionally the primary method of developing improved tea varieties and can take over 16 yr. Genomic selection (GS) can be used to improve the efficiency of tea breeding by increasing selection accuracy and shortening the generation interval and breeding cycle. Our main objective was to investigate the potential of implementing GS in tea‐breeding programs to speed up genetic progress despite the low cost of PS in LMIC. We used stochastic simulations to compare three GS‐breeding programs with a Pedigree and PS program. The PS program mimicked a practical commercial tea‐breeding program over a 40‐yr breeding period. All the GS programs achieved at least 1.65 times higher genetic gains than the PS program and 1.4 times compared with Seed‐Ped program. Seed‐GSc was the most cost‐effective strategy of implementing GS in tea‐breeding programs. It introduces GS at the seedlings stage to increase selection accuracy early in the program and reduced the generation interval to 2 yr. The Seed‐Ped program outperformed PS by 1.2 times and could be implemented where it is not possible to use GS. Our results indicate that GS could be used to improve genetic gain per unit time and cost even in cost‐constrained tea‐breeding programs. |
| first_indexed | 2024-04-10T04:26:04Z |
| format | Article |
| id | doaj.art-5ffc49e4b57947d2b5c3c81d59efd022 |
| institution | Directory Open Access Journal |
| issn | 1940-3372 |
| language | English |
| last_indexed | 2024-04-10T04:26:04Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Plant Genome |
| spelling | doaj.art-5ffc49e4b57947d2b5c3c81d59efd0222023-03-10T14:45:45ZengWileyThe Plant Genome1940-33722023-03-01161n/an/a10.1002/tpg2.20282Genomic selection strategies to increase genetic gain in tea breeding programsNelson Lubanga0Festo Massawe1Sean Mayes2Gregor Gorjanc3Jon Bančič4The Roslin Institute and Royal (Dick) School of Veterinary Studies The Univ. of Edinburgh Easter Bush Campus Midlothian EH25 9RG UKSchool of Biosciences The Univ. of Nottingham Malaysia Jalan Broga Semenyih Selangor Darul Ehsan 43500 MalaysiaSchool of Biosciences The Univ. of Nottingham Sutton Bonington Campus Loughborough Leicestershire LE12 5RD UKThe Roslin Institute and Royal (Dick) School of Veterinary Studies The Univ. of Edinburgh Easter Bush Campus Midlothian EH25 9RG UKThe Roslin Institute and Royal (Dick) School of Veterinary Studies The Univ. of Edinburgh Easter Bush Campus Midlothian EH25 9RG UKAbstract Tea [Camellia sinensis (L.) O. Kuntze] is mainly grown in low‐ to middle‐income countries (LMIC) and is a global commodity. Breeding programs in these countries face the challenge of increasing genetic gain because the accuracy of selecting superior genotypes is low and resources are limited. Phenotypic selection (PS) is traditionally the primary method of developing improved tea varieties and can take over 16 yr. Genomic selection (GS) can be used to improve the efficiency of tea breeding by increasing selection accuracy and shortening the generation interval and breeding cycle. Our main objective was to investigate the potential of implementing GS in tea‐breeding programs to speed up genetic progress despite the low cost of PS in LMIC. We used stochastic simulations to compare three GS‐breeding programs with a Pedigree and PS program. The PS program mimicked a practical commercial tea‐breeding program over a 40‐yr breeding period. All the GS programs achieved at least 1.65 times higher genetic gains than the PS program and 1.4 times compared with Seed‐Ped program. Seed‐GSc was the most cost‐effective strategy of implementing GS in tea‐breeding programs. It introduces GS at the seedlings stage to increase selection accuracy early in the program and reduced the generation interval to 2 yr. The Seed‐Ped program outperformed PS by 1.2 times and could be implemented where it is not possible to use GS. Our results indicate that GS could be used to improve genetic gain per unit time and cost even in cost‐constrained tea‐breeding programs.https://doi.org/10.1002/tpg2.20282 |
| spellingShingle | Nelson Lubanga Festo Massawe Sean Mayes Gregor Gorjanc Jon Bančič Genomic selection strategies to increase genetic gain in tea breeding programs The Plant Genome |
| title | Genomic selection strategies to increase genetic gain in tea breeding programs |
| title_full | Genomic selection strategies to increase genetic gain in tea breeding programs |
| title_fullStr | Genomic selection strategies to increase genetic gain in tea breeding programs |
| title_full_unstemmed | Genomic selection strategies to increase genetic gain in tea breeding programs |
| title_short | Genomic selection strategies to increase genetic gain in tea breeding programs |
| title_sort | genomic selection strategies to increase genetic gain in tea breeding programs |
| url | https://doi.org/10.1002/tpg2.20282 |
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