Results 31 to 40 of about 2,457,508 (205)

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

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

High dimensional phenomics and automation to transform domestication of new crops

, 2022
The majority of domesticated plant species are herbaceous annuals and woody perennials, yet many herbaceous perennial species hold potential for future agricultural systems.
Hershberger, Jenna, Turner, Kathryn, Dehaan, Lee, Crain, Jared, Diaz-Garcia, Luis, Schlautman, Brandon, Miller, Allison, Poland, Jesse, Tassel, David Van, Rubin, Matthew   +9 more
core   +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

Improving interoperability between phenomics and modelling communities by designing a Plant Modelling Ontology (PMO) [PDF]

, 2020
In recent years, plant phenomics has produced massive datasets involving millions of images in experiments performed in the field and in controlled conditions, concerning hundreds of genotypes at different phenological stages and scales (Tardieu et al ...
Cabrera-Bosquet, Llorenç, Saint Cast, Clément, Tardieu, François, 9th International Conference on FUNCTIONAL-STRUCTURAL PLANT MODELS, Lobet, Guillaume, Draye, Xavier, Pradal, Christophe, Couvreur, Valentin, Muller, Bertrand   +8 more
core   +3 more sources

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

Detecting spikes of wheat plants using neural networks with Laws texture energy

Plant Methods, 2017
Background The spike of a cereal plant is the grain-bearing organ whose physical characteristics are proxy measures of grain yield. The ability to detect and characterise spikes from 2D images of cereal plants, such as wheat, therefore provides vital ...
Li Qiongyan, Jinhai Cai, Bettina Berger, Mamoru Okamoto, Stanley J. Miklavcic   +4 more
doaj   +1 more source

PGP repository: a plant phenomics and genomics data publication infrastructure. [PDF]

Database (Oxford), 2016
Plant genomics and phenomics represents the most promising tools for accelerating yield gains and overcoming emerging crop productivity bottlenecks. However, accessing this wealth of plant diversity requires the characterization of this material using ...
Arend D, Junker A, Scholz U, Schüler D, Wylie J, Lange M.   +5 more
europepmc   +2 more sources

DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field

Plant Methods, 2020
Background Flowering is one of the most important processes for flowering plants such as cotton, reflecting the transition from vegetative to reproductive growth and is of central importance to crop yield and adaptability.
Yu Jiang, Changying Li, Rui Xu, Shangpeng Sun, Jon S. Robertson, Andrew H. Paterson   +5 more
doaj   +1 more source