Hybrid breeding of rice via genomic selection
Hybrid breeding is the main strategy for improving productivity in many crops, especially in rice and maize. Genomic hybrid breeding is a technology that uses whole‐genome markers to predict future hybrids. Predicted superior hybrids are then field evaluated and released as new hybrid cultivars afte...
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/164664 |
| _version_ | 1855522506782277632 |
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| author | Cui, Yanru Li, Ruidong Li, Guangwei Zhang, Fan Zhu, Tiantian Zhang, Qifa Ali, Jauhar Li, Zhikang Xu, Shizhong |
| author_browse | Ali, Jauhar Cui, Yanru Li, Guangwei Li, Ruidong Li, Zhikang Xu, Shizhong Zhang, Fan Zhang, Qifa Zhu, Tiantian |
| author_facet | Cui, Yanru Li, Ruidong Li, Guangwei Zhang, Fan Zhu, Tiantian Zhang, Qifa Ali, Jauhar Li, Zhikang Xu, Shizhong |
| author_sort | Cui, Yanru |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Hybrid breeding is the main strategy for improving productivity in many crops, especially in rice and maize. Genomic hybrid breeding is a technology that uses whole‐genome markers to predict future hybrids. Predicted superior hybrids are then field evaluated and released as new hybrid cultivars after their superior performances are confirmed. This will increase the opportunity of selecting true superior hybrids with minimum costs. Here, we used genomic best linear unbiased prediction to perform hybrid performance prediction using an existing rice population of 1495 hybrids. Replicated 10‐fold cross‐validations showed that the prediction abilities on ten agronomic traits ranged from 0.35 to 0.92. Using the 1495 rice hybrids as a training sample, we predicted six agronomic traits of 100 hybrids derived from half diallel crosses involving 21 parents that are different from the parents of the hybrids in the training sample. The prediction abilities were relatively high, varying from 0.54 (yield) to 0.92 (grain length). We concluded that the current population of 1495 hybrids can be used to predict hybrids from seemingly unrelated parents. Eventually, we used this training population to predict all potential hybrids of cytoplasm male sterile lines from 3000 rice varieties from the 3K Rice Genome Project. Using a breeding index combining 10 traits, we identified the top and bottom 200 predicted hybrids. SNP genotypes of the training population and parameters estimated from this training population are available for general uses and further validation in genomic hybrid prediction of all potential hybrids generated from all varieties of rice. |
| format | Journal Article |
| id | CGSpace164664 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1646642024-12-22T05:44:50Z Hybrid breeding of rice via genomic selection Cui, Yanru Li, Ruidong Li, Guangwei Zhang, Fan Zhu, Tiantian Zhang, Qifa Ali, Jauhar Li, Zhikang Xu, Shizhong agronomy crop science biotechnology plant science Hybrid breeding is the main strategy for improving productivity in many crops, especially in rice and maize. Genomic hybrid breeding is a technology that uses whole‐genome markers to predict future hybrids. Predicted superior hybrids are then field evaluated and released as new hybrid cultivars after their superior performances are confirmed. This will increase the opportunity of selecting true superior hybrids with minimum costs. Here, we used genomic best linear unbiased prediction to perform hybrid performance prediction using an existing rice population of 1495 hybrids. Replicated 10‐fold cross‐validations showed that the prediction abilities on ten agronomic traits ranged from 0.35 to 0.92. Using the 1495 rice hybrids as a training sample, we predicted six agronomic traits of 100 hybrids derived from half diallel crosses involving 21 parents that are different from the parents of the hybrids in the training sample. The prediction abilities were relatively high, varying from 0.54 (yield) to 0.92 (grain length). We concluded that the current population of 1495 hybrids can be used to predict hybrids from seemingly unrelated parents. Eventually, we used this training population to predict all potential hybrids of cytoplasm male sterile lines from 3000 rice varieties from the 3K Rice Genome Project. Using a breeding index combining 10 traits, we identified the top and bottom 200 predicted hybrids. SNP genotypes of the training population and parameters estimated from this training population are available for general uses and further validation in genomic hybrid prediction of all potential hybrids generated from all varieties of rice. 2020-01 2024-12-19T12:54:09Z 2024-12-19T12:54:09Z Journal Article https://hdl.handle.net/10568/164664 en Open Access Wiley Cui, Yanru; Li, Ruidong; Li, Guangwei; Zhang, Fan; Zhu, Tiantian; Zhang, Qifa; Ali, Jauhar; Li, Zhikang and Xu, Shizhong. 2020. Hybrid breeding of rice via genomic selection. Plant Biotechnology Journal, Volume 18 no. 1 p. 57-67 |
| spellingShingle | agronomy crop science biotechnology plant science Cui, Yanru Li, Ruidong Li, Guangwei Zhang, Fan Zhu, Tiantian Zhang, Qifa Ali, Jauhar Li, Zhikang Xu, Shizhong Hybrid breeding of rice via genomic selection |
| title | Hybrid breeding of rice via genomic selection |
| title_full | Hybrid breeding of rice via genomic selection |
| title_fullStr | Hybrid breeding of rice via genomic selection |
| title_full_unstemmed | Hybrid breeding of rice via genomic selection |
| title_short | Hybrid breeding of rice via genomic selection |
| title_sort | hybrid breeding of rice via genomic selection |
| topic | agronomy crop science biotechnology plant science |
| url | https://hdl.handle.net/10568/164664 |
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