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Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis

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  • Yan-yun Han

    (Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
    National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
    Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
    Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China)

  • Kai-yi Wang

    (Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
    National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
    Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
    Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China)

  • Zhong-qiang Liu

    (Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
    National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
    Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
    Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China)

  • Shou-hui Pan

    (Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
    National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
    Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
    Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China)

  • Xiang-yu Zhao

    (Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
    National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
    Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
    Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China)

  • Qi Zhang

    (Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
    National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
    Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
    Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China)

  • Shu-feng Wang

    (Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
    National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
    Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
    Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China)

Abstract

Combining ability analysis can be used to preliminarily identify the advantages and disadvantages of combinations and parents in earlier generations, enabling breeders to reduce the range of material, save breeding time, and improve breeding efficiency. An approach for combining ability analysis through the hybrid crop breeding information management system is presented. The general combining ability prediction effect of parents and the specific combining ability prediction effect of combinations are calculated to analyze hybrid combinations using the hybrid crop breeding information management system. The results provide the basis for parent selection and combination selection. The plant breeding trial management function of the system can provide convenient diallel crossing trial design, field planting plan, and combining ability analysis. In the system, the genealogy of breeding materials is traced with the combining ability test crosses. The selection of high-generation breeding materials can be performed in accordance with the combining ability test results of early generation materials. The system has been successfully applied to a large Chinese seed company. The combining ability test function automates data analysis and eliminates days in the decision-making process. The efficiency of the combining ability test analysis and test report generation has improved to more than double by using the system.

Suggested Citation

  • Yan-yun Han & Kai-yi Wang & Zhong-qiang Liu & Shou-hui Pan & Xiang-yu Zhao & Qi Zhang & Shu-feng Wang, 2020. "Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:4938-:d:372667
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    References listed on IDEAS

    as
    1. Tiffany L. Fess & James B. Kotcon & Vagner A. Benedito, 2011. "Crop Breeding for Low Input Agriculture: A Sustainable Response to Feed a Growing World Population," Sustainability, MDPI, vol. 3(10), pages 1-31, October.
    2. Feng Yang & Kaiyi Wang & Yanyun Han & Zhong Qiao, 2018. "A Cloud-Based Digital Farm Management System for Vegetable Production Process Management and Quality Traceability," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
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