Crop phenomics and high-throughput phenotyping: past decades, current challenges, and future perspectives W Yang, H Feng, X Zhang, J Zhang, JH Doonan, WD Batchelor, L Xiong, ... Molecular plant 13 (2), 187-214, 2020 | 732 | 2020 |
Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice W Yang, Z Guo, C Huang, L Duan, G Chen, N Jiang, W Fang, H Feng, ... Nature communications 5 (1), 5087, 2014 | 600 | 2014 |
Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies W Yang, L Duan, G Chen, L Xiong, Q Liu Current opinion in plant biology 16 (2), 180-187, 2013 | 315 | 2013 |
RiceVarMap: a comprehensive database of rice genomic variations H Zhao, W Yao, Y Ouyang, W Yang, G Wang, X Lian, Y Xing, L Chen, ... Nucleic acids research 43 (D1), D1018-D1022, 2015 | 276 | 2015 |
High-throughput phenotyping and QTL mapping reveals the genetic architecture of maize plant growth X Zhang, C Huang, D Wu, F Qiao, W Li, L Duan, K Wang, Y Xiao, G Chen, ... Plant physiology 173 (3), 1554-1564, 2017 | 250 | 2017 |
Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization X Xiong, L Duan, L Liu, H Tu, P Yang, D Wu, G Chen, L Xiong, W Yang, ... Plant methods 13, 1-15, 2017 | 195 | 2017 |
High-throughput phenotyping: Breaking through the bottleneck in future crop breeding P Song, J Wang, X Guo, W Yang, C Zhao The Crop Journal 9 (3), 633-645, 2021 | 190 | 2021 |
Genome-wide association studies of image traits reveal genetic architecture of drought resistance in rice Z Guo, W Yang, Y Chang, X Ma, H Tu, F Xiong, N Jiang, H Feng, C Huang, ... Molecular Plant 11 (6), 789-805, 2018 | 184 | 2018 |
A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice L Duan, W Yang, C Huang, Q Liu Plant methods 7, 1-13, 2011 | 131 | 2011 |
Genome-wide association study of rice (Oryza sativa L.) leaf traits with a high-throughput leaf scorer W Yang, Z Guo, C Huang, K Wang, N Jiang, H Feng, G Chen, Q Liu, ... Journal of experimental botany 66 (18), 5605-5615, 2015 | 114 | 2015 |
Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance X Wu, H Feng, D Wu, S Yan, P Zhang, W Wang, J Zhang, J Ye, G Dai, ... Genome Biology 22, 1-26, 2021 | 92 | 2021 |
A high-throughput stereo-imaging system for quantifying rape leaf traits during the seedling stage X Xiong, L Yu, W Yang, M Liu, N Jiang, D Wu, G Chen, L Xiong, K Liu, ... Plant methods 13, 1-17, 2017 | 89 | 2017 |
High-throughput measurement of rice tillers using a conveyor equipped with x-ray computed tomography W Yang, X Xu, L Duan, Q Luo, S Chen, S Zeng, Q Liu Review of Scientific Instruments 82 (2), 2011 | 83 | 2011 |
Combining high-throughput micro-CT-RGB phenotyping and genome-wide association study to dissect the genetic architecture of tiller growth in rice D Wu, Z Guo, J Ye, H Feng, J Liu, G Chen, J Zheng, D Yan, X Yang, ... Journal of Experimental Botany 70 (2), 545-561, 2019 | 81 | 2019 |
Phenomics‐based GWAS analysis reveals the genetic architecture for drought resistance in cotton B Li, L Chen, W Sun, D Wu, M Wang, Y Yu, G Chen, W Yang, Z Lin, ... Plant biotechnology journal 18 (12), 2533-2544, 2020 | 70 | 2020 |
Fast discrimination and counting of filled/unfilled rice spikelets based on bi-modal imaging L Duan, W Yang, K Bi, S Chen, Q Luo, Q Liu Computers and Electronics in Agriculture 75 (1), 196-203, 2011 | 67 | 2011 |
Novel digital features discriminate between drought resistant and drought sensitive rice under controlled and field conditions L Duan, J Han, Z Guo, H Tu, P Yang, D Zhang, Y Fan, G Chen, L Xiong, ... Frontiers in plant science 9, 492, 2018 | 63 | 2018 |
Determination of rice panicle numbers during heading by multi-angle imaging L Duan, C Huang, G Chen, L Xiong, Q Liu, W Yang The Crop Journal 3 (3), 211-219, 2015 | 62 | 2015 |
Combining UAV‐RGB high‐throughput field phenotyping and genome‐wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress Z Jiang, H Tu, B Bai, C Yang, B Zhao, Z Guo, Q Liu, H Zhao, W Yang, ... New Phytologist 232 (1), 440-455, 2021 | 55 | 2021 |
An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in rice H Feng, Z Guo, W Yang, C Huang, G Chen, W Fang, X Xiong, H Zhang, ... Scientific Reports 7 (1), 4401, 2017 | 55 | 2017 |