Results 21 to 30 of about 4,378 (202)

Plant Phenotyping and Phenomics for Plant Breeding [PDF]

, 2018
As a consequence of the global climate change, both the reduction on yield potential and the available surface area of cultivated species will compromise the production of food needed for a constant growing population. There is consensus about the significant gap between world food consumption projected for the coming decades and the expected crop ...
Gustavo A. Lobos, Rodomiro Ortiz, Anyela V. Camargo, Alejandro del Pozo, John H. Doonan, Jose L. Araus   +5 more
openaire   +3 more sources

Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

Plant Methods, 2017
Background Wheat is one of the most widely grown crop in temperate climates for food and animal feed. In order to meet the demands of the predicted population increase in an ever-changing climate, wheat production needs to dramatically increase.
Nathan Hughes, Karen Askew, Callum P. Scotson, Kevin Williams, Colin Sauze, Fiona Corke, John H. Doonan, Candida Nibau   +7 more
doaj   +1 more source

Detecting Crown Rot Disease in Wheat in Controlled Environment Conditions Using Digital Color Imaging and Machine Learning

AgriEngineering, 2022
Crown rot is one of the major stubble soil fungal diseases that bring significant yield loss to the cereal industry. The most effective crown rot management approach is removal of infected crop residue from fields and rotation of nonhost crops.
Yiting Xie, Darren Plett, Huajian Liu
doaj   +1 more source

Deep Segmentation of Point Clouds of Wheat

Frontiers in Plant Science, 2021
The 3D analysis of plants has become increasingly effective in modeling the relative structure of organs and other traits of interest. In this paper, we introduce a novel pattern-based deep neural network, Pattern-Net, for segmentation of point clouds of
Morteza Ghahremani, Morteza Ghahremani, Kevin Williams, Fiona M. K. Corke, Bernard Tiddeman, Yonghuai Liu, John H. Doonan   +6 more
doaj   +1 more source

An ontology approach to comparative phenomics in plants [PDF]

Plant Methods, 2015
Plant phenotype datasets include many different types of data, formats, and terms from specialized vocabularies. Because these datasets were designed for different audiences, they frequently contain language and details tailored to investigators with different research objectives and backgrounds. Although phenotype comparisons across datasets have long
Oellrich, Anika, Walls, Ramona L, Cannon, Ethalinda KS, Cannon, Steven B, Cooper, Laurel, Gardiner, Jack, Gkoutos, Georgios V, Harper, Lisa, He, Mingze, Hoehndorf, Robert, Jaiswal, Pankaj, Kalberer, Scott R, Lloyd, John P, Meinke, David, Menda, Naama, Moore, Laura, Nelson, Rex T, Pujar, Anuradha, Lawrence, Carolyn J, Huala, Eva   +19 more
openaire   +3 more sources

Genetic Regulation of Mitosis–Meiosis Fate Decision in Plants: Is Callose an Oversighted Polysaccharide in These Processes?

Plants, 2023
Timely progression of the meiotic cell cycle and synchronized establishment of male meiosis in anthers are key to ascertaining plant fertility. With the discovery of novel regulators of the plant cell cycle, the mechanisms underlying meiosis initiation ...
Harsha Somashekar, Ken-Ichi Nonomura
doaj   +1 more source

The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)

Frontiers in Plant Science, 2019
Quantifying plant water content and nitrogen levels and determining water and nitrogen phenotypes is important for crop management and achieving optimal yield and quality.
Brooke Bruning, Huajian Liu, Chris Brien, Bettina Berger, Megan Lewis, Trevor Garnett   +5 more
doaj   +1 more source

The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat

Sensors, 2020
The accurate and high throughput quantification of nitrogen (N) content in wheat using non-destructive methods is an important step towards identifying wheat lines with high nitrogen use efficiency and informing agronomic management practices.
Huajian Liu, Brooke Bruning, Trevor Garnett, Bettina Berger   +3 more
doaj   +1 more source

The Promise of Hyperspectral Imaging for the Early Detection of Crown Rot in Wheat

AgriEngineering, 2021
Crown rot disease is caused by Fusarium pseudograminearum and is one of the major stubble-soil fungal diseases threatening the cereal industry globally. It causes failure of grain establishment, which brings significant yield loss.
Yiting Xie, Darren Plett, Huajian Liu
doaj   +1 more source

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   +1 more source