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 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.
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2022
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Genomic Selection, Single-Trait Genomic Selection, Multi-Trait Genomic Selection, Genomic Estimated Breeding Value, Climate-Resilient Crops, MARKER-ASSISTED SELECTION, CLIMATE CHANGE, STRESS, CLIMATE RESILIENCE, CROPS, ABIOTIC STRESS, BIOTIC STRESS, |
Online Access: | https://hdl.handle.net/10883/22368 |
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dig-cimmyt-10883-223682023-06-14T20:59:48Z Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops Neeraj Budhlakoti Kushwaha, A.K. Rai, A. Chaturvedi, K.K. Kumar, A. Pradhan, A.K. Kumar, U. Rajeev Kumar Juliana, P. Mishra, D.C. Kumar, S. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Genomic Selection Single-Trait Genomic Selection Multi-Trait Genomic Selection Genomic Estimated Breeding Value Climate-Resilient Crops MARKER-ASSISTED SELECTION CLIMATE CHANGE STRESS CLIMATE RESILIENCE CROPS ABIOTIC STRESS BIOTIC STRESS 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. 2023-01-06T01:00:15Z 2023-01-06T01:00:15Z 2022 Article Published Version https://hdl.handle.net/10883/22368 10.3389/fgene.2022.832153 English Climate adaptation & mitigation Accelerated Breeding Genetic Innovation Government of India https://hdl.handle.net/10568/129173 CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose Open Access Switzerland Frontiers 13 1664-8021 Frontiers in Genetics 832153 |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Genomic Selection Single-Trait Genomic Selection Multi-Trait Genomic Selection Genomic Estimated Breeding Value Climate-Resilient Crops MARKER-ASSISTED SELECTION CLIMATE CHANGE STRESS CLIMATE RESILIENCE CROPS ABIOTIC STRESS BIOTIC STRESS AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Genomic Selection Single-Trait Genomic Selection Multi-Trait Genomic Selection Genomic Estimated Breeding Value Climate-Resilient Crops MARKER-ASSISTED SELECTION CLIMATE CHANGE STRESS CLIMATE RESILIENCE CROPS ABIOTIC STRESS BIOTIC STRESS |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Genomic Selection Single-Trait Genomic Selection Multi-Trait Genomic Selection Genomic Estimated Breeding Value Climate-Resilient Crops MARKER-ASSISTED SELECTION CLIMATE CHANGE STRESS CLIMATE RESILIENCE CROPS ABIOTIC STRESS BIOTIC STRESS AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Genomic Selection Single-Trait Genomic Selection Multi-Trait Genomic Selection Genomic Estimated Breeding Value Climate-Resilient Crops MARKER-ASSISTED SELECTION CLIMATE CHANGE STRESS CLIMATE RESILIENCE CROPS ABIOTIC STRESS BIOTIC STRESS Neeraj Budhlakoti Kushwaha, A.K. Rai, A. Chaturvedi, K.K. Kumar, A. Pradhan, A.K. Kumar, U. Rajeev Kumar Juliana, P. Mishra, D.C. Kumar, S. Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops |
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 |
Article |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Genomic Selection Single-Trait Genomic Selection Multi-Trait Genomic Selection Genomic Estimated Breeding Value Climate-Resilient Crops MARKER-ASSISTED SELECTION CLIMATE CHANGE STRESS CLIMATE RESILIENCE CROPS ABIOTIC STRESS BIOTIC STRESS |
author |
Neeraj Budhlakoti Kushwaha, A.K. Rai, A. Chaturvedi, K.K. Kumar, A. Pradhan, A.K. Kumar, U. Rajeev Kumar Juliana, P. Mishra, D.C. Kumar, S. |
author_facet |
Neeraj Budhlakoti Kushwaha, A.K. Rai, A. Chaturvedi, K.K. Kumar, A. Pradhan, A.K. Kumar, U. Rajeev Kumar Juliana, P. Mishra, D.C. Kumar, S. |
author_sort |
Neeraj Budhlakoti |
title |
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_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_sort |
genomic selection: a tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops |
publisher |
Frontiers |
publishDate |
2022 |
url |
https://hdl.handle.net/10883/22368 |
work_keys_str_mv |
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