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- 漆小泉团队以视觉深度学习为框架实现粳稻食味品质高精度预测与 QTL 定位 2026-09-02
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近期发表论文 更多+
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Yao SJ#, Tang YL#, Song B, Li C, Zhang Y, Xia GP, Han L, Zhao L*, Qi XQ*. 2026. A Vision-Based Deep Learning Framework enables High-Accuracy Prediction of Geng Rice Eating Quality and Facilitates QTL Mapping. Plant Communications, https://doi.org/10.1016/j.xplc.2026.102084
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Feng JL, Zhang Y, Li YB, Luo W, Cao J, Yin F, Liang GH, Xu YY, Guo XY*, Chong K*. 2026. Natural variation in TOLS1 modulates salt tolerance via OsRacB-Ca2+ signaling pathway in rice. Developmental Cell, https://doi.org/10.1016/j.devcel.2026.08.003
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Song ZY, Zhang F, Qi XQ*. 2026. Metabolic engineering of Saccharomyces cerevisiae for de novo biosynthesis of isoorientin Author links open overlay panel. aBIOTECH, https://doi.org/10.1016/j.abiote.2026.100085
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Li HL, Yang JJ, Han XG, Zhang YH, Leitch J, Leitch AR, Peñuelas J, Sardans J, Zhang HY, Cao D, Zhao FY, Chen M, Jiang Y, Yang Y, Pan QM, Hautier Y, Wei CZ*. 2026. Genome size-driven shifts in grassland productivity and species composition under nitrogen enrichment and mowing. Ecological Monographs, https://doi.org/10.1002/ecm.70075