5Gs for crop genetic improvement
Here we propose a 5G breeding approach for bringing much-needed disruptive changes to crop improvement. These 5Gs are Genome assembly, Germplasm characterization, Gene function identification, Genomic breeding (GB), and Gene editing (GE). In our view, it is important to have genome assemblies availa...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/164465 |
| _version_ | 1855536771835625472 |
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| author | Varshney, Rajeev K. Sinha, Pallavi Singh, Vikas K. Kumar, Arvind Zhang, Qifa Bennetzen, Jeffrey L. |
| author_browse | Bennetzen, Jeffrey L. Kumar, Arvind Singh, Vikas K. Sinha, Pallavi Varshney, Rajeev K. Zhang, Qifa |
| author_facet | Varshney, Rajeev K. Sinha, Pallavi Singh, Vikas K. Kumar, Arvind Zhang, Qifa Bennetzen, Jeffrey L. |
| author_sort | Varshney, Rajeev K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Here we propose a 5G breeding approach for bringing much-needed disruptive changes to crop improvement. These 5Gs are Genome assembly, Germplasm characterization, Gene function identification, Genomic breeding (GB), and Gene editing (GE). In our view, it is important to have genome assemblies available for each crop and a deep collection of germplasm characterized at sequencing and agronomic levels for identification of marker-trait associations and superior haplotypes. Systems biology and sequencing-based mapping approaches can be used to identify genes involved in pathways leading to the expression of a trait, thereby providing diagnostic markers for target traits. These genes, markers, haplotypes, and genome-wide sequencing data may be utilized in GB and GE methodologies in combination with a rapid cycle breeding strategy. |
| format | Journal Article |
| id | CGSpace164465 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1644652025-05-24T06:51:12Z 5Gs for crop genetic improvement Varshney, Rajeev K. Sinha, Pallavi Singh, Vikas K. Kumar, Arvind Zhang, Qifa Bennetzen, Jeffrey L. plant science Here we propose a 5G breeding approach for bringing much-needed disruptive changes to crop improvement. These 5Gs are Genome assembly, Germplasm characterization, Gene function identification, Genomic breeding (GB), and Gene editing (GE). In our view, it is important to have genome assemblies available for each crop and a deep collection of germplasm characterized at sequencing and agronomic levels for identification of marker-trait associations and superior haplotypes. Systems biology and sequencing-based mapping approaches can be used to identify genes involved in pathways leading to the expression of a trait, thereby providing diagnostic markers for target traits. These genes, markers, haplotypes, and genome-wide sequencing data may be utilized in GB and GE methodologies in combination with a rapid cycle breeding strategy. 2020-08 2024-12-19T12:53:54Z 2024-12-19T12:53:54Z Journal Article https://hdl.handle.net/10568/164465 en Open Access Elsevier Varshney, Rajeev K; Sinha, Pallavi; Singh, Vikas K; Kumar, Arvind; Zhang, Qifa and Bennetzen, Jeffrey L. 2020. 5Gs for crop genetic improvement. Current Opinion in Plant Biology, Volume 56 p. 190-196 |
| spellingShingle | plant science Varshney, Rajeev K. Sinha, Pallavi Singh, Vikas K. Kumar, Arvind Zhang, Qifa Bennetzen, Jeffrey L. 5Gs for crop genetic improvement |
| title | 5Gs for crop genetic improvement |
| title_full | 5Gs for crop genetic improvement |
| title_fullStr | 5Gs for crop genetic improvement |
| title_full_unstemmed | 5Gs for crop genetic improvement |
| title_short | 5Gs for crop genetic improvement |
| title_sort | 5gs for crop genetic improvement |
| topic | plant science |
| url | https://hdl.handle.net/10568/164465 |
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