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Intelligent Data Simulation And Predictive Analysis In Soybean Breeding

Donghui Zhang, Qingchun Yang, Zhen Geng, Wentao Shu, Jinhua Li

Abstract


The application of intelligent data simulation and predictive analysis shows great potential in improving the efficiency and effectiveness of soybean breeding programs. Based on the research of intelligent data simulation and predictive analysis, the information of complex genetic and environmental factors affecting soybean traits was analyzed, and the application of advanced data simulation technology and
predictive analysis method in soybean breeding was discussed. The findings not only contribute to the scientific understanding of soybean
breeding, but also provide practical recommendations for harnessing the power of data-driven approaches in agricultural research and breeding programs.

Keywords


Soybean Breeding; Intelligent Data; Simulation Prediction Analysis

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References


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DOI: http://dx.doi.org/10.18686/ag.v8i1.12584

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