Author:
Sun Dawei,Cen Haiyan,Weng Haiyong,Wan Liang,Abdalla Alwaseela,El-Manawy Ahmed Islam,Zhu Yueming,Zhao Nan,Fu Haowei,Tang Juan,Li Xiaolong,Zheng Hongkun,Shu Qingyao,Liu Fei,He Yong
Funder
Ministry of Science and Technology of the People's Republic of China
Department of science and technology of Zhejiang Province
Jiaxing City
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Genetics,Biotechnology
Reference85 articles.
1. Duan L, Yang W, Huang C, Liu Q. A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice. Plant Methods. 2011;7(1):44.
2. Li L, Zhang Q, Huang D. A review of imaging techniques for plant phenotyping. Sensors. 2014;14(11):20078–111.
3. Wang W, Mauleon R, Hu Z, Chebotarov D, Tai S, Wu Z, Li M, Zheng T, Fuentes RR, Zhang F, et al. Genomic variation in 3,010 diverse accessions of Asian cultivated rice. Nature. 2018;557(7703):43.
4. Chen W, Gao Y, Xie W, Gong L, Lu K, Wang W, Li Y, Liu X, Zhang H, Dong H. Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism. Sci Found China. 2014;46(2):714–21.
5. Gong L, Chen W, Gao Y, Liu X, Zhang H, Xu C, Yu S, Zhang Q, Luo J. Genetic analysis of the metabolome exemplified using a rice population. Proc Natl Acad Sci USA. 2013;110(50):20320–5.
Cited by
58 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献