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Bioinformatic and biometric methods in plant morphology(1)
Recent advances in microscopy, imaging, and data analyses have permitted both the greater application of quantitative methods and the collection of large data sets that can be used to investigate plant morphology. This special issue, the first for Applications in Plant Sciences, presents a collectio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Botanical Society of America
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141717/ http://dx.doi.org/10.3732/apps.1400071 |
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author | Punyasena, Surangi W. Smith, Selena Y. |
author_facet | Punyasena, Surangi W. Smith, Selena Y. |
author_sort | Punyasena, Surangi W. |
collection | PubMed |
description | Recent advances in microscopy, imaging, and data analyses have permitted both the greater application of quantitative methods and the collection of large data sets that can be used to investigate plant morphology. This special issue, the first for Applications in Plant Sciences, presents a collection of papers highlighting recent methods in the quantitative study of plant form. These emerging biometric and bioinformatic approaches to plant sciences are critical for better understanding how morphology relates to ecology, physiology, genotype, and evolutionary and phylogenetic history. From microscopic pollen grains and charcoal particles, to macroscopic leaves and whole root systems, the methods presented include automated classification and identification, geometric morphometrics, and skeleton networks, as well as tests of the limits of human assessment. All demonstrate a clear need for these computational and morphometric approaches in order to increase the consistency, objectivity, and throughput of plant morphological studies. |
format | Online Article Text |
id | pubmed-4141717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Botanical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-41417172014-09-08 Bioinformatic and biometric methods in plant morphology(1) Punyasena, Surangi W. Smith, Selena Y. Appl Plant Sci Introduction Recent advances in microscopy, imaging, and data analyses have permitted both the greater application of quantitative methods and the collection of large data sets that can be used to investigate plant morphology. This special issue, the first for Applications in Plant Sciences, presents a collection of papers highlighting recent methods in the quantitative study of plant form. These emerging biometric and bioinformatic approaches to plant sciences are critical for better understanding how morphology relates to ecology, physiology, genotype, and evolutionary and phylogenetic history. From microscopic pollen grains and charcoal particles, to macroscopic leaves and whole root systems, the methods presented include automated classification and identification, geometric morphometrics, and skeleton networks, as well as tests of the limits of human assessment. All demonstrate a clear need for these computational and morphometric approaches in order to increase the consistency, objectivity, and throughput of plant morphological studies. Botanical Society of America 2014-08-18 /pmc/articles/PMC4141717/ http://dx.doi.org/10.3732/apps.1400071 Text en © 2014 Punyasena and Smith. Published by the Botanical Society of America http://creativecommons.org/licenses/by-nc/4.0/ This work is licensed under a Creative Commons Attribution License (CC-BY-NC-SA). |
spellingShingle | Introduction Punyasena, Surangi W. Smith, Selena Y. Bioinformatic and biometric methods in plant morphology(1) |
title | Bioinformatic and biometric methods in plant morphology(1) |
title_full | Bioinformatic and biometric methods in plant morphology(1) |
title_fullStr | Bioinformatic and biometric methods in plant morphology(1) |
title_full_unstemmed | Bioinformatic and biometric methods in plant morphology(1) |
title_short | Bioinformatic and biometric methods in plant morphology(1) |
title_sort | bioinformatic and biometric methods in plant morphology(1) |
topic | Introduction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141717/ http://dx.doi.org/10.3732/apps.1400071 |
work_keys_str_mv | AT punyasenasurangiw bioinformaticandbiometricmethodsinplantmorphology1 AT smithselenay bioinformaticandbiometricmethodsinplantmorphology1 |