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A Kinase-Phosphatase-Transcription Factor Module Regulates Adventitious Root Emergence in Arabidopsis Root-Hypocotyl Junctions 期刊论文
MOLECULAR PLANT, 2020, 卷号: 13, 期号: 8, 页码: 1162-1177
作者:  Bai, Zechen;  Zhang, Jing;  Ning, Xin;  Guo, Hailong;  Xu, Xiumei;  Huang, Xiahe;  Wang, Yingchun;  Hu, Zhubing;  Lu, Congming;  Zhang, Lixin;  Chi, Wei
Adobe PDF(3870Kb)  |  收藏  |  浏览/下载：113/0  |  提交时间：2022/03/01
ABI4  MPK3/MPK6  PP2C12  adventitious root  root-hypocotyl junction  PCD  
Architecture of the photosynthetic complex from a green sulfur bacterium 期刊论文
SCIENCE, 2020, 卷号: 370, 期号: 6519, 页码: 931-
作者:  Chen, Jing-Hua;  Wu, Hangjun;  Xu, Caihuang;  Liu, Xiao-Chi;  Huang, Zihui;  Chang, Shenghai;  Wang, Wenda;  Han, Guangye;  Kuang, Tingyun;  Shen, Jian-Ren;  Zhang, Xing
Adobe PDF(2344Kb)  |  收藏  |  浏览/下载：116/0  |  提交时间：2022/03/01
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin;  Xu, Kexin;  Hu, Tianyu;  Liu, Jin;  Pang, Shuxin;  Guan, Hongcan;  Zhang, Jing;  Guo, Qinghua
Adobe PDF(14928Kb)  |  收藏  |  浏览/下载：142/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
Systematic Identification of the Light-quality Responding Anthocyanin Synthesis-related Transcripts in Petunia Petals 期刊论文
HORTICULTURAL PLANT JOURNAL, 2020, 卷号: 6, 期号: 6, 页码: 428-438
作者:  Fu, Zhenzhu;  Shang, Hongquan;  Jiang, Hui;  Gao, Jie;  Dong, Xiaoyu;  Wang, Huijuan;  Li, Yanmin;  Wang, Limin;  Zhang, Jing;  Shu, Qingyan;  Chao, Yacong;  Xu, Menglan;  Wang, Rui;  Wang, Liangsheng;  Zhang, Hechen
Adobe PDF(3671Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2022/03/01
Petunia  Anthocyanin  Transcription factor  Light quality  Transcriptome analysis  
Divergence in flowering time is a major component contributing to reproductive isolation between two wild rice species (Oryza rufipogon and O. nivara) 期刊论文
SCIENCE CHINA-LIFE SCIENCES, 2020, 卷号: 63, 期号: 11, 页码: 1714-1724
作者:  Xu, Xun;  Meng, Qing-Lin;  Geng, Mu-Fan;  Ren, Ning-Ning;  Zhou, Lian;  Du, Yu-Su;  Cai, Zhe;  Wang, Mei-Xia;  Wang, Xin;  Wang, Xiu-Hua;  Han, Jing-Dan;  Jiang, Shuai;  Jing, Chun-Yan;  Liu, Rong;  Zheng, Xiao-Ming;  Yang, Qing-Wen;  Zhang, Fu-Min;  Ge, Song
Adobe PDF(899Kb)  |  收藏  |  浏览/下载：131/0  |  提交时间：2022/03/01
reproductive isolation  flowering time  speciation  adaptation  Oryza species  
Biochemical Functions of Glutathione S-Transferase Family of Salix babylonica 期刊论文
FRONTIERS IN PLANT SCIENCE, 2020, 卷号: 11
作者:  Zhuge, Xiang-Lin;  Xu, Hui;  Xiu, Zhi-Jing;  Yang, Hai-Ling
Adobe PDF(4049Kb)  |  收藏  |  浏览/下载：116/0  |  提交时间：2022/03/01
glutathione S-transferase  gene expression  enzyme activity  kinetic analysis  salix babylonica  
Liquid-Liquid Phase Transition Drives Intra-chloroplast Cargo Sorting 期刊论文
CELL, 2020, 卷号: 180, 期号: 6, 页码: 1144-1159
作者:  Ouyang, Min;  Li, Xiaoyi;  Zhang, Jing;  Feng, Peiqiang;  Pu, Hua;  Kong, Lingxi;  Bai, Zechen;  Rong, Liwei;  Xu, Xiumei;  Chi, Wei;  Wang, Qiang;  Chen, Fan;  Lu, Congming;  Shen, Jianren;  Zhang, Lixin
Adobe PDF(11191Kb)  |  收藏  |  浏览/下载：134/1  |  提交时间：2022/03/01
Progressive nitrogen limitation across the Tibetan alpine permafrost region 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1
作者:  Kou, Dan;  Yang, Guibiao;  Li, Fei;  Feng, Xuehui;  Zhang, Dianye;  Mao, Chao;  Zhang, Qiwen;  Peng, Yunfeng;  Ji, Chengjun;  Zhu, Qiuan;  Fang, Yunting;  Liu, Xueyan;  Xu-Ri;  Li, Siqi;  Deng, Jia;  Zheng, Xunhua;  Fang, Jingyun;  Yang, Yuanhe
Adobe PDF(1289Kb)  |  收藏  |  浏览/下载：218/0  |  提交时间：2022/03/01
Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin;  Ju, Yuanzhen;  Zhang, Jing;  Xuan, Jing;  Liu, Jin;  Su, Yanjun;  Xu, Qiang;  Liu, Yu
Adobe PDF(4690Kb)  |  收藏  |  浏览/下载：116/0  |  提交时间：2022/03/01
Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge  
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
作者:  Xu, Kexin;  Su, Yanjun;  Liu, Jin;  Hu, Tianyu;  Jin, Shichao;  Ma, Qin;  Zhai, Qiuping;  Wang, Rui;  Zhang, Jing;  Li, Yumei;  Liu, Hon An;  Guo, Qinghua
Adobe PDF(4794Kb)  |  收藏  |  浏览/下载：104/0  |  提交时间：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)