| scholarly article | Q13442814 |
| P50 | author | Yanxin Zhao | Q92149087 |
| P2093 | author name string | Hao Yang | |
| Ruyang Zhang | |||
| Wei Song | |||
| Xuan Sun | |||
| Liang Han | |||
| Xiaolei Liu | |||
| Jiuran Zhao | |||
| Meijie Luo | |||
| Yunxia Zhang | |||
| Xiaqing Wang | |||
| Guijun Yang | |||
| Kuan Chen | |||
| P2860 | cites work | Microscopic and Proteomic Analysis of Dissected Developing Barley Endosperm Layers Reveals the Starchy Endosperm as Prominent Storage Tissue for ER-Derived Hordeins Alongside the Accumulation of Barley Protein Disulfide Isomerase (HvPDIL1-1) | Q58754253 |
| Clustering Field-Based Maize Phenotyping of Plant-Height Growth and Canopy Spectral Dynamics Using a UAV Remote-Sensing Approach | Q59335477 | ||
| Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV | Q96112586 | ||
| Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice | Q30596586 | ||
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| Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines | Q35945321 | ||
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| Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis. | Q38941374 | ||
| Genomic, Transcriptomic, and Phenomic Variation Reveals the Complex Adaptation of Modern Maize Breeding | Q39183472 | ||
| Distant eQTLs and Non-coding Sequences Play Critical Roles in Regulating Gene Expression and Quantitative Trait Variation in Maize | Q39629229 | ||
| The genetic architecture of amino acids dissection by association and linkage analysis in maize | Q41680742 | ||
| High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth. | Q46423992 | ||
| Conventional and hyperspectral time-series imaging of maize lines widely used in field trials | Q47204381 | ||
| Cloning and characterization of the maize An1 gene. | Q48076512 | ||
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| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | remote sensing | Q199687 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | remote sensing | Q199687 |
| unmanned aerial vehicle | Q484000 | ||
| plant height | Q113205681 | ||
| P304 | page(s) | 3458 | |
| P577 | publication date | 2019-03-05 | |
| P1433 | published in | Scientific Reports | Q2261792 |
| P1476 | title | Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) | |
| P478 | volume | 9 |
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| Q90599097 | Emerging Advanced Technologies to Mitigate the Impact of Climate Change in Africa |
| Q92405433 | Fuzzy Clustering of Maize Plant-Height Patterns Using Time Series of UAV Remote-Sensing Images and Variety Traits |
| Q96303693 | Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops |
| Q94603432 | Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci |
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