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Application of image analysis for grass tillering determination
Tillering is defined as the process of above-ground shoot production by a single plant. The number of grass tillers is one of the most important parameters in ecology and breeding studies. The number of tillers is usually determined by manually counting the separated shoots from a single plant. Unfo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596902/ https://www.ncbi.nlm.nih.gov/pubmed/26446128 http://dx.doi.org/10.1007/s10661-015-4899-2 |
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author | Głąb, Tomasz Sadowska, Urszula Żabiński, Andrzej |
author_facet | Głąb, Tomasz Sadowska, Urszula Żabiński, Andrzej |
author_sort | Głąb, Tomasz |
collection | PubMed |
description | Tillering is defined as the process of above-ground shoot production by a single plant. The number of grass tillers is one of the most important parameters in ecology and breeding studies. The number of tillers is usually determined by manually counting the separated shoots from a single plant. Unfortunately, this method is too time-consuming. In this study, a new method for counting grass tillers based on image analysis is presented. The usefulness of the method was evaluated for five grass species, Phleum pratense, Lolium perenne, Dactylis glomerata, Festuca pratensis and Bromus unioloides. The grass bunches were prepared for analysis by cutting and tip painting. The images obtained were analysed using an automatic procedure with separation of shoots and other objects based on morphological parameters. It was found that image analysis allows for very quick and accurate counting of grass tillers. However, the set of morphological parameters for object recognition must be selected individually for different grass species. This method can be recommended as a replacement for the traditional, time-consuming method in grass breeding. |
format | Online Article Text |
id | pubmed-4596902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-45969022015-10-13 Application of image analysis for grass tillering determination Głąb, Tomasz Sadowska, Urszula Żabiński, Andrzej Environ Monit Assess Article Tillering is defined as the process of above-ground shoot production by a single plant. The number of grass tillers is one of the most important parameters in ecology and breeding studies. The number of tillers is usually determined by manually counting the separated shoots from a single plant. Unfortunately, this method is too time-consuming. In this study, a new method for counting grass tillers based on image analysis is presented. The usefulness of the method was evaluated for five grass species, Phleum pratense, Lolium perenne, Dactylis glomerata, Festuca pratensis and Bromus unioloides. The grass bunches were prepared for analysis by cutting and tip painting. The images obtained were analysed using an automatic procedure with separation of shoots and other objects based on morphological parameters. It was found that image analysis allows for very quick and accurate counting of grass tillers. However, the set of morphological parameters for object recognition must be selected individually for different grass species. This method can be recommended as a replacement for the traditional, time-consuming method in grass breeding. Springer International Publishing 2015-10-07 2015 /pmc/articles/PMC4596902/ /pubmed/26446128 http://dx.doi.org/10.1007/s10661-015-4899-2 Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Głąb, Tomasz Sadowska, Urszula Żabiński, Andrzej Application of image analysis for grass tillering determination |
title | Application of image analysis for grass tillering determination |
title_full | Application of image analysis for grass tillering determination |
title_fullStr | Application of image analysis for grass tillering determination |
title_full_unstemmed | Application of image analysis for grass tillering determination |
title_short | Application of image analysis for grass tillering determination |
title_sort | application of image analysis for grass tillering determination |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596902/ https://www.ncbi.nlm.nih.gov/pubmed/26446128 http://dx.doi.org/10.1007/s10661-015-4899-2 |
work_keys_str_mv | AT głabtomasz applicationofimageanalysisforgrasstilleringdetermination AT sadowskaurszula applicationofimageanalysisforgrasstilleringdetermination AT zabinskiandrzej applicationofimageanalysisforgrasstilleringdetermination |