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Database/Software Article | Open Access

BreedingEIS: An Efficient Evaluation Information System for Crop Breeding

Kaijie QiXiao WuChao GuZhihua XieShutian Tao( )Shaoling Zhang ( )
Jiangsu Engineering Research Center for Pear, National Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China

†These authors contributed equally to this work.

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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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Plant Phenomics
Article number: 0029
Cite this article:
Qi K, Wu X, Gu C, et al. BreedingEIS: An Efficient Evaluation Information System for Crop Breeding. Plant Phenomics, 2023, 5: 0029. https://doi.org/10.34133/plantphenomics.0029

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Received: 06 November 2022
Accepted: 10 February 2023
Published: 14 March 2023
© 2023 Kaijie Qi et al. Exclusive licensee Nanjing Agricultural University. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License (CC BY 4.0).

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