%0 Journal Article
%T Using hyperspectral analysis as a potential high throughput phenotyping tool in GWAS for protein content of rice quality
%A Ahmed Islam El-Manawy
%A Alwaseela Abdalla
%A Dawei Sun
%A Fei Liu
%A Haiyan Cen
%A Haiyong Weng
%A Haowei Fu
%A Hongkun Zheng
%A Juan Tang
%A Liang Wan
%A Nan Zhao
%A Qingyao Shu
%A Xiaolong Li
%A Yong He
%A Yueming Zhu
%J Archive of "Plant Methods".
%D 2019
%R 10.1186/s13007-019-0432-x
%X The online version of this article (10.1186/s13007-019-0432-x) contains supplementary material, which is available to authorized users
%K Genome-wide association study (GWAS)
%K Spectrology
%K Protein content
%K Phenotyping
%K Rice (Oryza sativa)
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532189/