基于数字图像的植物表型分析综述

M. Omari, Jayoung Lee, M. A. Faqeerzada, Rahul Joshi, Eunsoo Park, B. Cho
{"title":"基于数字图像的植物表型分析综述","authors":"M. Omari, Jayoung Lee, M. A. Faqeerzada, Rahul Joshi, Eunsoo Park, B. Cho","doi":"10.7744/KJOAS.20200004","DOIUrl":null,"url":null,"abstract":"With the current rapid growth and increase in the world’s population, the demand for nutritious food and fibers and fuel will increase. Therefore, there is a serious need for the use of breeding programs with the full potential to produce high-yielding crops. However, existing breeding techniques are unable to meet the demand criteria even though genotyping techniques have significantly progressed with the discovery of molecular markers and nextgeneration sequencing tools, and conventional phenotyping techniques lag behind. Wellorganized high-throughput plant phenotyping platforms have been established recently and developed in different parts of the world to address this problem. These platforms use several imaging techniques and technologies to acquire data for quantitative studies related to plant growth, yield, and adaptation to various types of abiotic or biotic stresses (drought, nutrient, disease, salinity, etc.). Phenotyping has become an impediment in genomics studies of plant breeding. In recent years, phenomics, an emerging domain that entails characterizing the full set of phenotypes in a given species, has appeared as a novel approach to enhance genomics data in breeding programs. Imaging techniques are of substantial importance in phenomics. In this study, the importance of current imaging technologies and their applications in plant phenotyping are reviewed, and their advantages and limitations in phenomics are highlighted.","PeriodicalId":17916,"journal":{"name":"Korean Journal of Agricultural Science","volume":"28 1","pages":"119-130"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Digital image-based plant phenotyping: a review\",\"authors\":\"M. Omari, Jayoung Lee, M. A. Faqeerzada, Rahul Joshi, Eunsoo Park, B. Cho\",\"doi\":\"10.7744/KJOAS.20200004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the current rapid growth and increase in the world’s population, the demand for nutritious food and fibers and fuel will increase. Therefore, there is a serious need for the use of breeding programs with the full potential to produce high-yielding crops. However, existing breeding techniques are unable to meet the demand criteria even though genotyping techniques have significantly progressed with the discovery of molecular markers and nextgeneration sequencing tools, and conventional phenotyping techniques lag behind. Wellorganized high-throughput plant phenotyping platforms have been established recently and developed in different parts of the world to address this problem. These platforms use several imaging techniques and technologies to acquire data for quantitative studies related to plant growth, yield, and adaptation to various types of abiotic or biotic stresses (drought, nutrient, disease, salinity, etc.). Phenotyping has become an impediment in genomics studies of plant breeding. In recent years, phenomics, an emerging domain that entails characterizing the full set of phenotypes in a given species, has appeared as a novel approach to enhance genomics data in breeding programs. Imaging techniques are of substantial importance in phenomics. In this study, the importance of current imaging technologies and their applications in plant phenotyping are reviewed, and their advantages and limitations in phenomics are highlighted.\",\"PeriodicalId\":17916,\"journal\":{\"name\":\"Korean Journal of Agricultural Science\",\"volume\":\"28 1\",\"pages\":\"119-130\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Korean Journal of Agricultural Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7744/KJOAS.20200004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Journal of Agricultural Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7744/KJOAS.20200004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

摘要

随着当前世界人口的快速增长和增加,对营养食品、纤维和燃料的需求将会增加。因此,迫切需要利用具有充分潜力的育种计划来生产高产作物。然而,尽管基因分型技术随着分子标记和下一代测序工具的发现而取得了重大进展,但现有的育种技术仍无法满足需求标准,传统的表型分型技术落后。组织良好的高通量植物表型平台最近已在世界不同地区建立和开发,以解决这一问题。这些平台使用多种成像技术和技术来获取与植物生长、产量以及对各种非生物或生物胁迫(干旱、营养、疾病、盐度等)的适应有关的定量研究数据。表型分析已成为植物育种基因组学研究中的一个障碍。近年来,表型组学是一个新兴的领域,它需要描述给定物种的全套表型,作为一种新的方法来增强育种计划中的基因组学数据。成像技术在表型组学中具有重要意义。本文综述了当前影像技术在植物表型分析中的重要性及其应用,并对其在表型组学研究中的优势和局限性进行了综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Digital image-based plant phenotyping: a review
With the current rapid growth and increase in the world’s population, the demand for nutritious food and fibers and fuel will increase. Therefore, there is a serious need for the use of breeding programs with the full potential to produce high-yielding crops. However, existing breeding techniques are unable to meet the demand criteria even though genotyping techniques have significantly progressed with the discovery of molecular markers and nextgeneration sequencing tools, and conventional phenotyping techniques lag behind. Wellorganized high-throughput plant phenotyping platforms have been established recently and developed in different parts of the world to address this problem. These platforms use several imaging techniques and technologies to acquire data for quantitative studies related to plant growth, yield, and adaptation to various types of abiotic or biotic stresses (drought, nutrient, disease, salinity, etc.). Phenotyping has become an impediment in genomics studies of plant breeding. In recent years, phenomics, an emerging domain that entails characterizing the full set of phenotypes in a given species, has appeared as a novel approach to enhance genomics data in breeding programs. Imaging techniques are of substantial importance in phenomics. In this study, the importance of current imaging technologies and their applications in plant phenotyping are reviewed, and their advantages and limitations in phenomics are highlighted.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Comparison of growth performance of Korean native chickens, broiler chickens and white semi broilers during 40 days after hatching Primary metabolic responses in the leaves and roots of bell pepper plants subjected to microelements-deficient conditions A study on the vulnerability of field water supply using public groundwater wells as irrigation in drought-vulnerable areas with a focus on the Dangjin-si, Yesan-gun, Cheongyang-gun, and Goesan-gun regions in South Korea Fabrication and field performance test of a tractor-mounted 6-row cabbage collector Estimation of the genetic parameters of 24- and 30-month carcass traits for sire selection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1