BreedingEIS: An Efficient Evaluation Information System for Crop Breeding.

IF 7.6 1区 农林科学 Q1 AGRONOMY
Kaijie Qi, Xiao Wu, Chao Gu, Zhihua Xie, Shutian Tao, Shaoling Zhang
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引用次数: 0

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.

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育种eis:一个高效的作物育种评价信息系统。
作物育种项目产生大量数据集。因此,在育种过程中很难保证所有采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免费的育种评价信息系统(BreedingEIS)。整个系统由web客户端和移动客户端组成。该web客户端用于命名单个育种后代植物并分析数据。移动客户端基于广泛使用的智能手机技术,适用于Android和iOS系统。其功能侧重于现场评估,包括快速响应代码识别、评估数据录入和实时查看。此外,引进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植物,并准确地标记从其收集的任何样品。一般来说,BreedingEIS使用户能够准确方便地登记表型数据,并从大量数据中快速锁定目标单株。该系统为作物信息评价提供了低成本、高效率的解决方案,使育种者能够更好地收集、管理和利用育种数据进行决策,是作物育种的宝贵资源。
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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
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