Results 71 to 80 of about 4,964 (232)

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  

Functional Mapping of Quantitative Trait Loci (QTLs) Associated With Plant Performance in a Wheat MAGIC Mapping Population

Frontiers in Plant Science, 2018
In crop genetic studies, the mapping of longitudinal data describing the spatio-temporal nature of agronomic traits can elucidate the factors influencing their formation and development.
Anyela V. Camargo, Ian Mackay, Richard Mott, Jiwan Han, John H. Doonan, Karen Askew, Fiona Corke, Kevin Williams, Alison R. Bentley   +8 more
doaj   +1 more source

Phenomics to Differentiate Mungbean Genotypes [PDF]

, 2021
Not AvailableIn the human diet, particularly for most of the vegetarian population, mungbean (Vigna radiata L.Wilczek) is an inexpensive and environmentally friendly source of protein.
Jagadish Rane, Susheel Kumar Raina, Venkadasamy Govindasamy , Hanumantharao Bindumadhava, Prashantkumar Hanjagi , Rajkumar Giri , Krishna Kumar Jangid, Mahesh Kumar and Ramakrishnan M. Nair
core  

Bridging the Python Training Gap for Bioscientists in Brazil: Improvements and Challenges

Biochemistry and Molecular Biology Education, EarlyView.
ABSTRACT The rapid evolution of high‐throughput technologies in biosciences generates vast and diverse datasets, demanding that bioscientists develop advanced data manipulation and analysis skills. Python, with its versatility and powerful libraries, has become a crucial tool for managing these datasets.
Gustavo Schiavone Crestana, Ubiratan da Silva Batista, Michelli Inácio Gonçalves Funnicelli, Larissa Graciano Braga, Luíza Zuvanov, Rodolfo Bizarria Jr., Raissa Melo de Sousa, Pedro Henrique Narciso Ferreira, Flavia Vischi Winck, Gabriel Rodrigues Alves Margarido, Alessandro de Mello Varani, Diego Mauricio Riaño‐Pachón, Renato Augusto Corrêa dos Santos   +12 more
wiley   +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

Precision Mapping of Retinal Disease: Identification of Differential Progression Trajectories via Imaging Phenomics

iMetaMed, EarlyView.
Applying single‐cell RNA‐seq techniques to large‐scale clinical phenotypic data enables the discovery of differential disease progression trajectories and the construction of data‐driven progression scores. These can then be integrated into precision medicine studies to investigate the drivers of patient‐specific disease outcomes. ABSTRACT We propose a
Christian Anderson, Liam Scott, Irene Leung, Ferenc Sallo, Catherine Egan, Tunde Peto, The MacTel Consortium, Melanie Bahlo, Martin Friedlander, Simone Tzaridis, Lea Scheppke, Roberto Bonelli   +11 more
wiley   +1 more source

Variation in Water-Holding Capacity in Sphagnum Species Depends on Both Plant and Colony Structure

Plants
Peatlands have become a focal point in climate mitigation strategies as these ecosystems have significant carbon sequestration capacities when healthy but release CO2 and other greenhouse gases when damaged.
Willem Q. M. van de Koot, James Msonda, Olga P. Olver, John H. Doonan, Candida Nibau   +4 more
doaj   +1 more source

Computational aspects underlying genome to phenome analysis in plants [PDF]

The Plant Journal, 2019
SummaryRecent advances in genomics technologies have greatly accelerated the progress in both fundamental plant science and applied breeding research. Concurrently, high‐throughput plant phenotyping is becoming widely adopted in the plant community, promising to alleviate the phenotypic bottleneck.
Bolger, Anthony M., Poorter, Hendrik, Dumschott, Kathryn, Bolger, Marie E., Arend, Daniel, Osorio, Sonia, Gundlach, Heidrun, Mayer, Klaus F. X., Lange, Matthias, Scholz, Uwe, Usadel, Björn   +10 more
openaire   +5 more sources

Enviromics crosstalk between internal and external plant environments for enhanced adaptation and de novo domestication

iMeta, EarlyView.
Climate change demands accelerated plant adaptation and de novo domestication. Yet current enviromics focuses disproportionately on external environments, neglecting internal dynamics—gene expression, metabolic flux, and signal transduction—within predictive envirotyping frameworks.
Lin‐An Zhang, Xuan Dong, Kai Liu, Nicolas Gonzalez, Jose Manuel Estevez, Wen‐Xue Li, Xing Wang Deng, Feng Yu, Yunbi Xu   +8 more
wiley   +1 more source

Root phenomics of crops: opportunities and challenges [PDF]

, 2015
This paper originates from a presentation at the 1st International Plant Phenomics ...
Sonja Schmidta, Thomas, W T Bill, Tobias Wojciechowskia, Gregory, Peter J, Schmidt, Sonja, Peter J. Gregorya, Bengough, A Glyn, Wojciechowski, Tobias, Dmitri Grinevb, Young, Iain, Grinev, Dmitri, A. Glyn Bengougha, Iain M. Youngb   +12 more
core   +1 more source