Results 31 to 40 of about 4,378 (202)

Plant photosynthesis phenomics data quality control [PDF]

Bioinformatics, 2015
AbstractMotivation: Plant phenomics, the collection of large-scale plant phenotype data, is growing exponentially. The resources have become essential component of modern plant science. Such complex datasets are critical for understanding the mechanisms governing energy intake and storage in plants, and this is essential for improving crop productivity.
Lei Xu, Jeffrey A. Cruz, Linda J. Savage, David M. Kramer 0001, Jin Chen 0004   +4 more
openaire   +2 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

POEAS: Automated Plant Phenomic Analysis Using Plant Ontology [PDF]

Bioinformatics and Biology Insights, 2014
Biological enrichment analysis using gene ontology (GO) provides a global overview of the functional role of genes or proteins identified from large-scale genomic or proteomic experiments. Phenomic enrichment analysis of gene lists can provide an important layer of information as well as cellular components, molecular functions, and biological ...
Khader Shameer, Mahantesha Bn Naika, Oommen K. Mathew, Ramanathan Sowdhamini   +3 more
openaire   +4 more sources

Multiscale plant modeling: from genome to phenome and beyond [PDF]

Emerging Topics in Life Sciences, 2021
Plants are complex organisms that adapt to changes in their environment using an array of regulatory mechanisms that span across multiple levels of biological organization. Due to this complexity, it is difficult to predict emergent properties using conventional approaches that focus on single levels of biology such as the genome, transcriptome, or ...
Megan L. Matthews, Amy Marshall-Colón
openaire   +2 more sources

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

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

Plant phenome to genome: a mini-review [PDF]

Functional Plant Biology, 2012
Rapid advances in biotechnologies have provided a template for defining the genome–transcriptome–proteome in many plant species and these advances now highlight a particular challenge to link the molecular biology–based studies to changes in the phenome of plant species.
openaire   +2 more sources

Enabling reusability of plant phenomic datasets with MIAPPE 1.1 [PDF]

New Phytologist, 2020
Summary Enabling data reuse and knowledge discovery is increasingly critical in modern science, and requires an effort towards standardising data publication practices.
Papoutsoglou, Evangelia A., Faria, Daniel, Arend, Daniel, Arnaud, Elizabeth, Athanasiadis, Ioannis N., Chaves, Inês, Coppens, Frederik, Cornut, Guillaume, Costa, Bruno V., Ćwiek‐Kupczyńska, Hanna, Droesbeke, Bert, Finkers, Richard, Gruden, Kristina, Junker, Astrid, King, Graham J., Krajewski, Paweł, Lange, Matthias, Laporte, Marie‐Angélique, Michotey, Célia, Oppermann, Markus, Ostler, Richard, Poorter, Hendrik, Ramı́rez‐Gonzalez, Ricardo, Ramšak, Živa, Reif, Jochen C., Rocca‐Serra, Philippe, Sansone, Susanna‐Assunta, Scholz, Uwe, Tardieu, François, Uauy, Cristobal, Usadel, Björn, Visser, Richard G. F., Weise, Stephan, Kersey, Paul J., Miguel, Célia M., Adam‐Blondon, Anne‐Françoise, Pommier, Cyril   +36 more
openaire   +10 more sources

Crop Seed Phenomics: Focus on Non-Destructive Functional Trait Phenotyping Methods and Applications

Plants, 2023
Seeds play a critical role in ensuring food security for the earth’s 8 billion people. There is great biodiversity in plant seed content traits worldwide.
Gokhan Hacisalihoglu, Paul Armstrong
doaj   +1 more source

Critical Evaluation of the Cgrain Value™ as a Tool for Rapid Morphometric Phenotyping of Husked Oat (Avena sativa L.) Grains

Seeds
Mechanised non-contact, non-destructive imaging methodologies have revolutionised plant phenotyping, increasing throughput well beyond what was possible using traditional manual methods.
David Evershed, Eamon J. Durkan, Rachel Hasler, Fiona Corke, John H. Doonan, Catherine J. Howarth   +5 more
doaj   +1 more source