Genomic selection : A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops
Since the inception of the theory and conceptual framework of genomic selection (GS), extensive research has been done on evaluating its efficiency for utilization in crop improvement. Though, the marker-assisted selection has proven its potential for improvement of qualitative traits controlled by...
| Main Authors: | , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Frontiers Media
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/129173 |
| _version_ | 1855542575869460480 |
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| author | Neeraj Budhlakoti Kushwaha, Amar Kant Rai, Anil Chaturvedi, K.K. Kumar, Anuj Pradhan, Anjan Kumar Kumar, Uttam Rajeev Kumar Juliana, Philomin Mishra, D.C. Kumar, Sundeep |
| author_browse | Chaturvedi, K.K. Juliana, Philomin Kumar, Anuj Kumar, Sundeep Kumar, Uttam Kushwaha, Amar Kant Mishra, D.C. Neeraj Budhlakoti Pradhan, Anjan Kumar Rai, Anil Rajeev Kumar |
| author_facet | Neeraj Budhlakoti Kushwaha, Amar Kant Rai, Anil Chaturvedi, K.K. Kumar, Anuj Pradhan, Anjan Kumar Kumar, Uttam Rajeev Kumar Juliana, Philomin Mishra, D.C. Kumar, Sundeep |
| author_sort | Neeraj Budhlakoti |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Since the inception of the theory and conceptual framework of genomic selection (GS), extensive research has been done on evaluating its efficiency for utilization in crop improvement. Though, the marker-assisted selection has proven its potential for improvement of qualitative traits controlled by one to few genes with large effects. Its role in improving quantitative traits controlled by several genes with small effects is limited. In this regard, GS that utilizes genomic-estimated breeding values of individuals obtained from genome-wide markers to choose candidates for the next breeding cycle is a powerful approach to improve quantitative traits. In the last two decades, GS has been widely adopted in animal breeding programs globally because of its potential to improve selection accuracy, minimize phenotyping, reduce cycle time, and increase genetic gains. In addition, given the promising initial evaluation outcomes of GS for the improvement of yield, biotic and abiotic stress tolerance, and quality in cereal crops like wheat, maize, and rice, prospects of integrating it in breeding crops are also being explored. Improved statistical models that leverage the genomic information to increase the prediction accuracies are critical for the effectiveness of GS-enabled breeding programs. Study on genetic architecture under drought and heat stress helps in developing production markers that can significantly accelerate the development of stress-resilient crop varieties through GS. This review focuses on the transition from traditional selection methods to GS, underlying statistical methods and tools used for this purpose, current status of GS studies in crop plants, and perspectives for its successful implementation in the development of climate-resilient crops. |
| format | Journal Article |
| id | CGSpace129173 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1291732025-12-08T10:29:22Z Genomic selection : A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops Neeraj Budhlakoti Kushwaha, Amar Kant Rai, Anil Chaturvedi, K.K. Kumar, Anuj Pradhan, Anjan Kumar Kumar, Uttam Rajeev Kumar Juliana, Philomin Mishra, D.C. Kumar, Sundeep marker-assisted selection climate change stress climate resilience crops Since the inception of the theory and conceptual framework of genomic selection (GS), extensive research has been done on evaluating its efficiency for utilization in crop improvement. Though, the marker-assisted selection has proven its potential for improvement of qualitative traits controlled by one to few genes with large effects. Its role in improving quantitative traits controlled by several genes with small effects is limited. In this regard, GS that utilizes genomic-estimated breeding values of individuals obtained from genome-wide markers to choose candidates for the next breeding cycle is a powerful approach to improve quantitative traits. In the last two decades, GS has been widely adopted in animal breeding programs globally because of its potential to improve selection accuracy, minimize phenotyping, reduce cycle time, and increase genetic gains. In addition, given the promising initial evaluation outcomes of GS for the improvement of yield, biotic and abiotic stress tolerance, and quality in cereal crops like wheat, maize, and rice, prospects of integrating it in breeding crops are also being explored. Improved statistical models that leverage the genomic information to increase the prediction accuracies are critical for the effectiveness of GS-enabled breeding programs. Study on genetic architecture under drought and heat stress helps in developing production markers that can significantly accelerate the development of stress-resilient crop varieties through GS. This review focuses on the transition from traditional selection methods to GS, underlying statistical methods and tools used for this purpose, current status of GS studies in crop plants, and perspectives for its successful implementation in the development of climate-resilient crops. 2022-02-09 2023-03-03T16:13:52Z 2023-03-03T16:13:52Z Journal Article https://hdl.handle.net/10568/129173 en Open Access application/pdf Frontiers Media Budhlakoti, N., Kushwaha, A. K., Rai, A., Chaturvedi, K. K., Kumar, A., Pradhan, A. K., Kumar, U., Kumar, R. R., Juliana, P., Mishra, D. C., & Kumar, S. (2022). Genomic Selection: A Tool for Accelerating the Efficiency of Molecular Breeding for Development of Climate-Resilient Crops. In Frontiers in Genetics (Vol. 13). Frontiers Media SA. https://doi.org/10.3389/fgene.2022.832153 |
| spellingShingle | marker-assisted selection climate change stress climate resilience crops Neeraj Budhlakoti Kushwaha, Amar Kant Rai, Anil Chaturvedi, K.K. Kumar, Anuj Pradhan, Anjan Kumar Kumar, Uttam Rajeev Kumar Juliana, Philomin Mishra, D.C. Kumar, Sundeep Genomic selection : A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops |
| title | Genomic selection : A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops |
| title_full | Genomic selection : A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops |
| title_fullStr | Genomic selection : A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops |
| title_full_unstemmed | Genomic selection : A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops |
| title_short | Genomic selection : A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops |
| title_sort | genomic selection a tool for accelerating the efficiency of molecular breeding for development of climate resilient crops |
| topic | marker-assisted selection climate change stress climate resilience crops |
| url | https://hdl.handle.net/10568/129173 |
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