Smart breeding driven by advances in sequencing technology
Abstract Crop breeding has undergone numerous advancements throughout history with the next revolution being uncertain. This review provides an overview of breeding techniques from traditional selective breeding and crossbreeding to modern breeding based on molecular marker‐assisted and genomic sele...
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Format: | Article |
Language: | English |
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Wiley-VCH
2023-03-01
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Series: | Modern Agriculture |
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Online Access: | https://doi.org/10.1002/moda.8 |
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author | Chenji Zhang Sirong Jiang Yangyang Tian Xiaorui Dong Jianjia Xiao Yanjie Lu Tiyun Liang Hongmei Zhou Dabin Xu Han Zhang Ming Luo Zhiqiang Xia |
author_facet | Chenji Zhang Sirong Jiang Yangyang Tian Xiaorui Dong Jianjia Xiao Yanjie Lu Tiyun Liang Hongmei Zhou Dabin Xu Han Zhang Ming Luo Zhiqiang Xia |
author_sort | Chenji Zhang |
collection | DOAJ |
description | Abstract Crop breeding has undergone numerous advancements throughout history with the next revolution being uncertain. This review provides an overview of breeding techniques from traditional selective breeding and crossbreeding to modern breeding based on molecular marker‐assisted and genomic selection. Systematic analysis of the mainstream genotyping approaches based on principle, application scenario and supporting software revealed that the changes in genotyping technology have led to an explosion in data. This data expansion will drive a breakthrough in sequencing technology and integrate artificial intelligence with automation. The review also discusses the technological changes associated with breeding during the big data era, including breeding models, genotyping technologies and future intelligent breeding, to provide references for crop breeders. The paper highlights the potential of smart breeding technologies driven by advances in sequencing technology, which will lead to the development of new breeding strategies and accelerate the breeding process. |
format | Article |
id | doaj-art-7557d697b45e4e12a875fa4893d559f7 |
institution | Kabale University |
issn | 2751-4102 |
language | English |
publishDate | 2023-03-01 |
publisher | Wiley-VCH |
record_format | Article |
series | Modern Agriculture |
spelling | doaj-art-7557d697b45e4e12a875fa4893d559f72025-01-31T16:15:25ZengWiley-VCHModern Agriculture2751-41022023-03-0111435610.1002/moda.8Smart breeding driven by advances in sequencing technologyChenji Zhang0Sirong Jiang1Yangyang Tian2Xiaorui Dong3Jianjia Xiao4Yanjie Lu5Tiyun Liang6Hongmei Zhou7Dabin Xu8Han Zhang9Ming Luo10Zhiqiang Xia11Sanya Nanfan Research Institute of Hainan University Hainan Yazhou Bay Seed Laboratory Sanya ChinaSanya Nanfan Research Institute of Hainan University Hainan Yazhou Bay Seed Laboratory Sanya ChinaSanya Nanfan Research Institute of Hainan University Hainan Yazhou Bay Seed Laboratory Sanya ChinaSanya Nanfan Research Institute of Hainan University Hainan Yazhou Bay Seed Laboratory Sanya ChinaSanya Nanfan Research Institute of Hainan University Hainan Yazhou Bay Seed Laboratory Sanya ChinaSanya Nanfan Research Institute of Hainan University Hainan Yazhou Bay Seed Laboratory Sanya ChinaSanya Nanfan Research Institute of Hainan University Hainan Yazhou Bay Seed Laboratory Sanya ChinaMGI Tech Co., Ltd. Shenzhen ChinaHC Scientific L.L.C Chengdu ChinaHC Scientific L.L.C Chengdu ChinaGuangdong Provincial Key Laboratory of Applied Botany Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement South China Botanical Garden Core Botanical Gardens Chinese Academy of Sciences Guangzhou ChinaSanya Nanfan Research Institute of Hainan University Hainan Yazhou Bay Seed Laboratory Sanya ChinaAbstract Crop breeding has undergone numerous advancements throughout history with the next revolution being uncertain. This review provides an overview of breeding techniques from traditional selective breeding and crossbreeding to modern breeding based on molecular marker‐assisted and genomic selection. Systematic analysis of the mainstream genotyping approaches based on principle, application scenario and supporting software revealed that the changes in genotyping technology have led to an explosion in data. This data expansion will drive a breakthrough in sequencing technology and integrate artificial intelligence with automation. The review also discusses the technological changes associated with breeding during the big data era, including breeding models, genotyping technologies and future intelligent breeding, to provide references for crop breeders. The paper highlights the potential of smart breeding technologies driven by advances in sequencing technology, which will lead to the development of new breeding strategies and accelerate the breeding process.https://doi.org/10.1002/moda.8artificial intelligencecrop breedinggenotypingsequencing technology |
spellingShingle | Chenji Zhang Sirong Jiang Yangyang Tian Xiaorui Dong Jianjia Xiao Yanjie Lu Tiyun Liang Hongmei Zhou Dabin Xu Han Zhang Ming Luo Zhiqiang Xia Smart breeding driven by advances in sequencing technology Modern Agriculture artificial intelligence crop breeding genotyping sequencing technology |
title | Smart breeding driven by advances in sequencing technology |
title_full | Smart breeding driven by advances in sequencing technology |
title_fullStr | Smart breeding driven by advances in sequencing technology |
title_full_unstemmed | Smart breeding driven by advances in sequencing technology |
title_short | Smart breeding driven by advances in sequencing technology |
title_sort | smart breeding driven by advances in sequencing technology |
topic | artificial intelligence crop breeding genotyping sequencing technology |
url | https://doi.org/10.1002/moda.8 |
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