On September 14, the team of Professor Lan Hai of the Maize Research Institute of Sichuan Agricultural University used genome-wide selection technology to construct a new heterogeneous model of maize in southwest China, and used this technology to breed new maize varieties for the first time in China. The results were recently published in Frontiers in Plant Science.
According to Lan Hai, the team randomly constructed 2077 hybrid combinations using 360 representative inbred lines, accurately identified yield-related traits, and used a new algorithm independently developed to predict the yield traits of 64620 combinations generated by 360 inbred lines, so as to construct a new heterogeneity model in the southwest maize region.
In addition, in the process of breeding a series of varieties using genome-wide selection technology, the team innovatively applied the technical scheme of adding "signpost varieties" to measure the prediction accuracy and set the selection threshold. Specifically, the scheme adds approved corn varieties such as "Chuandan 99" and "Nonghua 606" as reference objects (road signs) to the calculation, and the variety prediction is carried out together.
According to the forecast analysis, the largest corn variety "Chuandan 99" in southwest China is currently in the top 5% of 64,620 combinations (2,520th). The research team focused on the identification of the predictive advantage combinations that surpassed the "Chuandan 99", and successfully bred a series of new varieties by combining field experiments and genome-wide selection. Among them, the top-ranked Youdi 899 (No. 184) has become a breakthrough variety bred using whole-genome selection technology in this batch.
Youdi 899 phenotype (a) plant type (b) fruit spike
"The successful application of genome-wide selection technology to breed new maize varieties is not only the embodiment of the important achievements accumulated by our research for many years, but also an important progress in the combination of theory and practice of maize genome-wide selection breeding." On this basis, the research team will continue to deepen the application of genome-wide selection technology, improve the accuracy of prediction, and more accurately screen new corn varieties with excellent traits, Lan said.
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Article source: Science and Technology Daily
Editors of this issue: Chen Xinrui and Wei Rong
Review of this issue: Wang Meihong
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