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Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants
Although long-term genetic gain has been achieved through increasing use of modern breeding methods and technologies, the rate of genetic gain needs to be accelerated to meet humanity's demand for agricultural products. In this regard, genomic selection (GS) has been considered most promising f...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747995/ https://www.ncbi.nlm.nih.gov/pubmed/33404534 http://dx.doi.org/10.1016/j.xplc.2019.100005 |
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author | Xu, Yunbi Liu, Xiaogang Fu, Junjie Wang, Hongwu Wang, Jiankang Huang, Changling Prasanna, Boddupalli M. Olsen, Michael S. Wang, Guoying Zhang, Aimin |
author_facet | Xu, Yunbi Liu, Xiaogang Fu, Junjie Wang, Hongwu Wang, Jiankang Huang, Changling Prasanna, Boddupalli M. Olsen, Michael S. Wang, Guoying Zhang, Aimin |
author_sort | Xu, Yunbi |
collection | PubMed |
description | Although long-term genetic gain has been achieved through increasing use of modern breeding methods and technologies, the rate of genetic gain needs to be accelerated to meet humanity's demand for agricultural products. In this regard, genomic selection (GS) has been considered most promising for genetic improvement of the complex traits controlled by many genes each with minor effects. Livestock scientists pioneered GS application largely due to livestock's significantly higher individual values and the greater reduction in generation interval that can be achieved in GS. Large-scale application of GS in plants can be achieved by refining field management to improve heritability estimation and prediction accuracy and developing optimum GS models with the consideration of genotype-by-environment interaction and non-additive effects, along with significant cost reduction. Moreover, it would be more effective to integrate GS with other breeding tools and platforms for accelerating the breeding process and thereby further enhancing genetic gain. In addition, establishing an open-source breeding network and developing transdisciplinary approaches would be essential in enhancing breeding efficiency for small- and medium-sized enterprises and agricultural research systems in developing countries. New strategies centered on GS for enhancing genetic gain need to be developed. |
format | Online Article Text |
id | pubmed-7747995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77479952020-12-22 Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants Xu, Yunbi Liu, Xiaogang Fu, Junjie Wang, Hongwu Wang, Jiankang Huang, Changling Prasanna, Boddupalli M. Olsen, Michael S. Wang, Guoying Zhang, Aimin Plant Commun Review Article Although long-term genetic gain has been achieved through increasing use of modern breeding methods and technologies, the rate of genetic gain needs to be accelerated to meet humanity's demand for agricultural products. In this regard, genomic selection (GS) has been considered most promising for genetic improvement of the complex traits controlled by many genes each with minor effects. Livestock scientists pioneered GS application largely due to livestock's significantly higher individual values and the greater reduction in generation interval that can be achieved in GS. Large-scale application of GS in plants can be achieved by refining field management to improve heritability estimation and prediction accuracy and developing optimum GS models with the consideration of genotype-by-environment interaction and non-additive effects, along with significant cost reduction. Moreover, it would be more effective to integrate GS with other breeding tools and platforms for accelerating the breeding process and thereby further enhancing genetic gain. In addition, establishing an open-source breeding network and developing transdisciplinary approaches would be essential in enhancing breeding efficiency for small- and medium-sized enterprises and agricultural research systems in developing countries. New strategies centered on GS for enhancing genetic gain need to be developed. Elsevier 2019-10-16 /pmc/articles/PMC7747995/ /pubmed/33404534 http://dx.doi.org/10.1016/j.xplc.2019.100005 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Article Xu, Yunbi Liu, Xiaogang Fu, Junjie Wang, Hongwu Wang, Jiankang Huang, Changling Prasanna, Boddupalli M. Olsen, Michael S. Wang, Guoying Zhang, Aimin Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants |
title | Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants |
title_full | Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants |
title_fullStr | Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants |
title_full_unstemmed | Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants |
title_short | Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants |
title_sort | enhancing genetic gain through genomic selection: from livestock to plants |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747995/ https://www.ncbi.nlm.nih.gov/pubmed/33404534 http://dx.doi.org/10.1016/j.xplc.2019.100005 |
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