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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Main Authors: 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.
Format: Article biblioteca
Language:English
Published: Frontiers 2022
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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spelling 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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country México
countrycode MX
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access En linea
databasecode dig-cimmyt
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region America del Norte
libraryname CIMMYT Library
language English
topic 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
spellingShingle 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
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