Results 11 to 20 of about 722,503 (205)

Advances in Phenomics and its Application in Crop Research

Guangdong nongye kexue, 2022
Phenomics refers to the systematic study at the genomic level of all the phenotypes of an organism or cell under a variety of different environmental conditions.
Chaoyang PAN, Zhanhua LU, Wei LIU, Xiaofei WANG, Shiguang WANG, Hao CHEN, Zhiqiang FANG, Haoxiang WU, Xiuying HE   +8 more
doaj   +2 more sources

Editorial: Genomics and phenomics of crop wild relatives (CWRs) for crop improvement

Frontiers in Plant Science, 2023
Petr Smykal, Sunil Archak, Parimalan Rangan   +2 more
exaly   +3 more sources

Technology and Equipment of Big Data on Crop Phenomics

中国工程科学, 2023
Automatic equipment and information technologies make it possible to acquire multi-scale and multi-source heterogeneous data of crops under different growth conditions, forming big data on crop phenomics.
Wen Weiliang, Guo Xinyu , Zhang Ying, Gu Shenghao, Zhao Chunjiang   +4 more
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Editorial: Unlocking crop potential: root characterization through phenomics and genomics [PDF]

Frontiers in Plant Science
Muhammad Awais Farooq, Gwendolyn K. Kirschner   +1 more
doaj   +2 more sources

Identification of High Nitrogen Use Efficiency Phenotype in Rice (Oryza sativa L.) Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery

Frontiers in Plant Science, 2021
Identification of high Nitrogen Use Efficiency (NUE) phenotypes has been a long-standing challenge in breeding rice and sustainable agriculture to reduce the costs of nitrogen (N) fertilizers.
Ting Liang, Ting Liang, Ting Liang, Bo Duan, Xiaoyun Luo, Xiaoyun Luo, Xiaoyun Luo, Yi Ma, Yi Ma, Zhengqing Yuan, Zhengqing Yuan, Zhengqing Yuan, Renshan Zhu, Renshan Zhu, Renshan Zhu, Yi Peng, Yi Peng, Yan Gong, Yan Gong, Shenghui Fang, Shenghui Fang, Xianting Wu, Xianting Wu, Xianting Wu, Xianting Wu   +24 more
doaj   +1 more source

‘Omics’ approaches for crop improvement [PDF]

, 2023
The growing human population and climate change are imposing unprecedented challenges on the global food supply [1]. To cope with these pressures, crop improvement demands enhancing important agronomical traits beyond yield, such as adaptation ...
Castillejo Sanchez, Maria Angeles, María Ángeles Castillejo, Cortés, Andrés J., Roxana Yockteng, Yockteng, Roxana, Andrés J. Cortés   +5 more
core   +1 more source

Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach

Plant Phenomics, 2023
The green fraction (GF), which is the fraction of green vegetation in a given viewing direction, is closely related to the light interception ability of the crop canopy.
Yangmingrui Gao, Yinglun Li, Ruibo Jiang, Xiaohai Zhan, Hao Lu, Wei Guo, Wanneng Yang, Yanfeng Ding, Shouyang Liu   +8 more
doaj   +1 more source

Indoor phenotyping platforms and associated trait measurement: Progress and prospects

智慧农业, 2020
Plant phenomics is under rapid development in recent years, a research field that is progressing towards integration, scalability, multi-perspectivity and high-throughput analysis.
Xu Lingxiang, Chen Jiawei, Ding Guohui, Lu Wei, Ding Yanfeng, Zhu Yan, Ji Zhou   +6 more
doaj   +1 more source

WinRoots: A High-Throughput Cultivation and Phenotyping System for Plant Phenomics Studies Under Soil Stress

Frontiers in Plant Science, 2022
Soil stress, such as salinity, is a primary cause of global crop yield reduction. Existing crop phenotyping platforms cannot fully meet the specific needs of phenomics studies of plant response to soil stress in terms of throughput, environmental ...
Yangyang Zhang, Wenjing Zhang, Qicong Cao, Xiaojian Zheng, Jingting Yang, Tong Xue, Wenhao Sun, Xinrui Du, Lili Wang, Jing Wang, Fengying Zhao, Fengning Xiang, Shuo Li   +12 more
doaj   +1 more source

Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing

Plant Methods, 2023
Highlights The effects of canopy height, leaf area index, and growth stage on the accurate monitoring of canopy height with different 3D sensors were systematically evaluated. Field-measured canopy height may not be as accurate as believed, especially in
Jingrong Zang, Shichao Jin, Songyin Zhang, Qing Li, Yue Mu, Ziyu Li, Shaochen Li, Xiao Wang, Yanjun Su, Dong Jiang   +9 more
doaj   +1 more source