Results 31 to 40 of about 1,165,106 (235)

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

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

Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage

Plant Phenomics, 2023
The number of leaves at a given time is important to characterize plant growth and development. In this work, we developed a high-throughput method to count the number of leaves by detecting leaf tips in RGB images. The digital plant phenotyping platform
Yinglun Li, Xiaohai Zhan, Shouyang Liu, Hao Lu, Ruibo Jiang, Wei Guo, Scott Chapman, Yufeng Ge, Benoit Solan, Yanfeng Ding, Frédéric Baret   +10 more
doaj   +1 more source

Virus-induced gene silencing database for phenomics and functional genomics in Nicotiana benthamiana [PDF]

, 2018
Virus-induced gene silencing (VIGS) is an important forward and reverse genetics method for the study of gene function in many plant species, especially Nicotiana benthamiana.
Chakravarthy, Suma, Chang, Junil, Del Pozo, Olga, Dinesh-Kumar, Savithramma P, Doraiswamy, Vanthana, Lee, Hee-Kyung, Liu, Yule, Martin, Gregory B, Mysore, Kirankumar S, Ramegowda, Venkategowda, Ryu, Choong-Min, Senthil-Kumar, Muthappa, Van Eck, Joyce, Wang, Keri, Wang, Mingyi, Xu, Ping   +15 more
core   +2 more sources

The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat

Plant Phenomics, 2023
Inefficient nitrogen (N) utilization in agricultural production has led to many negative impacts such as excessive use of N fertilizers, redundant plant growth, greenhouse gases, long-lasting toxicity in ecosystem, and even effect on human health ...
Guohui Ding, Liyan Shen, Jie Dai, Robert Jackson, Shuchen Liu, Mujahid Ali, Li Sun, Mingxing Wen, Jin Xiao, Greg Deakin, Dong Jiang, Xiu-e Wang, Ji Zhou   +12 more
doaj   +1 more source

Root phenomics of crops: opportunities and challenges

Functional Plant Biology, 2009
Reliable techniques for screening large numbers of plants for root traits are still being developed, but include aeroponic, hydroponic and agar plate systems. Coupled with digital cameras and image analysis software, these systems permit the rapid measurement of root numbers, length and diameter in moderate (typically <1000) numbers of plants ...
Gregory, Peter J., Bengough, A. Glyn, Grinev, Dmitri, Schmidt, Sonja, Thomas, W. (Bill) T. B., Wojciechowski, Tobias, Young, Iain M.   +6 more
openaire   +4 more sources

Nondestructive 3D Image Analysis Pipeline to Extract Rice Grain Traits Using X-Ray Computed Tomography

Plant Phenomics, 2020
The traits of rice panicles play important roles in yield assessment, variety classification, rice breeding, and cultivation management. Most traditional grain phenotyping methods require threshing and thus are time-consuming and labor-intensive ...
Weijuan Hu, Can Zhang, Yuqiang Jiang, Chenglong Huang, Qian Liu, Lizhong Xiong, Wanneng Yang, Fan Chen   +7 more
doaj   +1 more source

The Plant Ontology facilitates comparisons of plant development stages across species [PDF]

, 2019
The Plant Ontology (PO) is a community resource consisting of standardized terms, definitions, and logical relations describing plant structures and development stages, augmented by a large database of annotations from genomic and phenomic studies.
Cooper, Laurel, Elser, Justin Lee, Gandolfo, Maria Alejandra, Jaiswal, Pankaj, Mungall, Christopher J., Smith, Barry, Stevenson, Dennis William, Walls, Ramona Lynn   +7 more
core   +2 more sources

Crop Performance Evaluation of Chickpea and Dry Pea Breeding Lines Across Seasons and Locations Using Phenomics Data

Frontiers in Plant Science, 2021
The Pacific Northwest is an important pulse production region in the United States. Currently, pulse crop (chickpea, lentil, and dry pea) breeders rely on traditional phenotyping approaches to collect performance and agronomic data to support decision ...
Chongyuan Zhang, R. McGee, G. Vandemark, S. Sankaran   +3 more
semanticscholar   +1 more source