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Phenomics: conceptualization and importance for plant physiology

Trends in Plant Science, 2023
Phenomics is a relatively new discipline of biology that has been widely applied in several fields, mainly in crop sciences. We reviewed the concepts used in this discipline (particularly for plants) and found a lack of consensus on what defines a phenomic study.
Alonso Zavafer   +3 more
openaire   +2 more sources

Plant bioinformatics: from genome to phenome

Trends in Biotechnology, 2004
The vast quantities of diverse biological data generated by recent biotechnological advances have led to the development and evolution of the field of bioinformatics. This relatively new field facilitates both the analysis of genomic and postgenomic data and the integration of information from the related fields of transcriptomics, proteomics ...
Edwards, David, Batley, Jacqueline
openaire   +4 more sources

Whole-Plant Phenomics

2014
Over the last decade, biological sciences have been revolutionised by the adoption of high-throughput omics technologies, and many of the discoveries that have underpinned this revolution have now been adopted for use in plant phenotyping. The field of whole-plant phenomics resulting from this combines robotics, image capture and high-performance ...
Crowe, M., March, T., Tilbrook, J.
openaire   +2 more sources

Plant Phenomics: An Overview

2015
Precise and accurate measurement of traits plays an important role in the genetic improvement of crop plants. Therefore, a lot of development has taken place in the area of phenomics in the recent past. Both forward and reverse phenomics have been evolved, which can help in identification of either the best genotype having the desirable traits or ...
Jitendra Kumar   +2 more
openaire   +1 more source

Data management for plant phenomics

Journal of Plant Biology, 2017
Plant phenomics is an area of biology dealing with the analysis of phenotypic traits in plants. It can be cointegrated with other omics like functional genomics, transcriptomics, and metabolomics etc. Phenotypic traits are generated by images of RGB, hyperspectral, near-infrared, thermal, fluorescence imaging and so on.
Song-Lim Kim   +4 more
openaire   +1 more source

Genome to phenome: bioinformatics of crop plants

2023
Due to the expanding world population, agricultural output must increase to fulfill the growing need for food. Crop breeding is a sustainable way to boost production and yield stability without increasing the usage of fertilizers and pesticides. Recent developments in genetics and bioinformatics provide prospects for expediting crop improvement ...
Sayanti Mandal   +13 more
openaire   +2 more sources

Field-based phenomics for plant genetics research

Field Crops Research, 2012
A major challenge for crop research in the 21st century is how to predict crop performance as a function of genetic architecture. Advances in “next generation” DNA sequencing have greatly improved genotyping efficiency and reduced genotyping costs. Methods for characterizing plant traits (phenotypes), however, have much progressed more slowly over the ...
Jeffrey W. White   +16 more
openaire   +1 more source

Trait Dissection of Salinity Tolerance with Plant Phenomics

2012
The phenotypic response of plants to high external levels of NaCl is very dynamic so the methods used for phenotyping should be able to capture those dynamics. Non-destructive high-throughput plant imaging enables researchers to measure salt stress-induced changes in plant growth over time.
Berger, B., de Regt, S., Tester, M.
openaire   +3 more sources

Plant phenomics and epigenomics at population scale

2022
Zwanzig Jahre nach der Veröffentlichung der ersten Entwürfe des menschlichen Genoms hat die Biologie einen Paradigmenwechsel hin zu einer 'Big Data'-Disziplin vollzogen. In der Pflanzenbiologie, wie auch in vielen anderen Bereichen, hat die wissenschaftliche Gemeinschaft eine Fülle von genomischen Ressourcen angesammelt, die herangezogen werden können,
openaire   +1 more source

Dynamic Quantitative Trait Locus Analysis of Plant Phenomic Data

Trends in Plant Science, 2015
Advanced platforms have recently become available for automatic and systematic quantification of plant growth and development. These new techniques can efficiently produce multiple measurements of phenotypes over time, and introduce time as an extra dimension to quantitative trait locus (QTL) studies.
Zitong, Li, Mikko J, Sillanpää
openaire   +2 more sources

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