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.
Highlights
Plant breeding programs can develop genotypes adapted to specific agricultural environments and can result in lower inputs to achieve higher and more sustainable productions with lower energy costs to accommodate the growing population [1]
Information technology is an important part of the modern breeding technology system and provides important technical support to improve breeding efficiency
PRISM, which is an acronym for Plant Research Information Sharing Manager, is a breeding information management system developed by the CSSI company of America; it provides information management support for grain and vegetable crops [5]
Summary
Plant breeding programs can develop genotypes adapted to specific agricultural environments and can result in lower inputs to achieve higher and more sustainable productions with lower energy costs to accommodate the growing population [1]. Many advanced foreign seed enterprises—such as Pioneer, Syngenta, and Monsanto—have established modern breeding information management systems based on information technology [3] These systems provide strong technical support for the efficient statistical analysis of massive breeding data. The structure, function, and technical content of these proprietary breeding information management systems are confidential, but such systems certainly have huge storage capacity for massive data and can efficiently analyze complex data In addition to these private breeding information management systems, a foreign piece of commercial breeding information management software is being developed and improved. The LABKEY software developed by the French company DORIANE is a research process and data management piece of software designed for agricultural research, such as seed selection and breeding, agronomic experiments and tests, biotechnology laboratory research, and food processing.
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