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育种EIS:一种用于作物育种的高效评估信息系统。

BreedingEIS: An Efficient Evaluation Information System for Crop Breeding.

作者信息

Qi Kaijie, Wu Xiao, Gu Chao, Xie Zhihua, Tao Shutian, Zhang Shaoling

机构信息

Jiangsu Engineering Research Center for Pear, National Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China.

出版信息

Plant Phenomics. 2023;5:0029. doi: 10.34133/plantphenomics.0029. Epub 2023 Mar 14.

DOI:10.34133/plantphenomics.0029
PMID:36939411
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10014329/
Abstract

Crop breeding programs generate large datasets. Thus, it is difficult to ensure the accuracy and integrity of all the collected data in the breeding process. To improve breeding efficiency, we established an open source and free breeding evaluation information system (BreedingEIS). The full system is composed of a web client and a mobile client. The web client is used to name the individual breeding offspring plants and analyze data. The mobile client is based on the technology of widely used smartphones and is suitable for Android and iOS systems. Its functions focus on field evaluation, including quick response code recognition, evaluation data entry, and real-time viewing. In addition, near-field communication technology and portable label machines are introduced to enable breeders to quickly locate each individual plant and accurately label any samples collected from it. Generally, BreedingEIS enables users to accurately and conveniently register phenotypic data and quickly lock target individual plants from large volumes of data. The system provides a low-cost and highly efficient solution for crop information evaluation and enables breeders to better collect, manage, and use breeding data for decision making, which is a valuable resource for crop breeding.

摘要

作物育种计划会产生大量数据集。因此,在育种过程中难以确保所有收集数据的准确性和完整性。为了提高育种效率,我们建立了一个开源且免费的育种评估信息系统(BreedingEIS)。整个系统由一个网络客户端和一个移动客户端组成。网络客户端用于为单个育种后代植株命名并分析数据。移动客户端基于广泛使用的智能手机技术,适用于安卓和iOS系统。其功能侧重于田间评估,包括二维码识别、评估数据录入和实时查看。此外,引入了近场通信技术和便携式标签机,使育种人员能够快速定位每一株个体植株,并准确标记从其采集的任何样本。总体而言,BreedingEIS使用户能够准确、方便地记录表型数据,并从大量数据中快速锁定目标个体植株。该系统为作物信息评估提供了低成本、高效率的解决方案,使育种人员能够更好地收集、管理和利用育种数据进行决策,这是作物育种的宝贵资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/6ed68a0d6f06/plantphenomics.0029.fig.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/439a023820a1/plantphenomics.0029.fig.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/81c153e670d1/plantphenomics.0029.fig.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/19fbdb9f9694/plantphenomics.0029.fig.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/fc840fd4e77e/plantphenomics.0029.fig.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/ff1be3948ee0/plantphenomics.0029.fig.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/6ed68a0d6f06/plantphenomics.0029.fig.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/439a023820a1/plantphenomics.0029.fig.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/81c153e670d1/plantphenomics.0029.fig.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/19fbdb9f9694/plantphenomics.0029.fig.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/fc840fd4e77e/plantphenomics.0029.fig.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/ff1be3948ee0/plantphenomics.0029.fig.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/10014329/6ed68a0d6f06/plantphenomics.0029.fig.006.jpg

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本文引用的文献

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GpemDB: A Scalable Database Architecture with the Multi-omics Entity-relationship Model to Integrate Heterogeneous Big-data for Precise Crop Breeding.GpemDB:一种具有多组学生物实体关系模型的可扩展数据库架构,用于整合异质大数据进行精准作物育种。
Front Biosci (Landmark Ed). 2022 May 17;27(5):159. doi: 10.31083/j.fbl2705159.
2
The Breeding Information Management System (BIMS): an online resource for crop breeding.作物育种信息管理系统(BIMS):一个在线作物育种资源库。
Database (Oxford). 2021 Aug 20;2021. doi: 10.1093/database/baab054.
3
The Sol Genomics Network (SGN)--from genotype to phenotype to breeding.
索尔基因组学网络(SGN)——从基因型到表型再到育种。
Nucleic Acids Res. 2015 Jan;43(Database issue):D1036-41. doi: 10.1093/nar/gku1195. Epub 2014 Nov 26.
4
Addition of a breeding database in the Genome Database for Rosaceae.在蔷薇科基因组数据库中添加一个繁殖数据库。
Database (Oxford). 2013 Nov 18;2013:bat078. doi: 10.1093/database/bat078. Print 2013.
5
CerealsDB 2.0: an integrated resource for plant breeders and scientists.谷物数据库 2.0:植物育种家和科学家的综合资源。
BMC Bioinformatics. 2012 Sep 3;13:219. doi: 10.1186/1471-2105-13-219.