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WIPPER: an accurate and efficient field phenotyping platform for large-scale applications
More accurate, rapid, and easy phenotyping tools are required to match the recent advances in high-throughput genotyping for accelerating breeding and genetic analysis. The conventional data recording in field notebooks and then inputting data to computers for further analysis is inefficient, time-c...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society of Breeding
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482179/ https://www.ncbi.nlm.nih.gov/pubmed/26175626 http://dx.doi.org/10.1270/jsbbs.65.285 |
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author | Utsushi, Hiroe Abe, Akira Tamiru, Muluneh Ogasawara, Yumiko Obara, Tsutomu Sato, Emiko Ochiai, Yusuke Terauchi, Ryohei Takagi, Hiroki |
author_facet | Utsushi, Hiroe Abe, Akira Tamiru, Muluneh Ogasawara, Yumiko Obara, Tsutomu Sato, Emiko Ochiai, Yusuke Terauchi, Ryohei Takagi, Hiroki |
author_sort | Utsushi, Hiroe |
collection | PubMed |
description | More accurate, rapid, and easy phenotyping tools are required to match the recent advances in high-throughput genotyping for accelerating breeding and genetic analysis. The conventional data recording in field notebooks and then inputting data to computers for further analysis is inefficient, time-consuming, laborious, and prone to human error. Here, we report WIPPER (for Wireless Plant Phenotyper), a new phenotyping platform that combines field phenotyping and data recording with the aid of Bluetooth communication, thus saving time and labor not only for field data recoding but also for inputting data to computers. Additionally, it eliminates the risk of human error associated with phenotyping and inputting data. We applied WIPPER to 100 individuals of a rice recombinant inbred line (RIL) for measuring leaf width and relative chlorophyll content (SPAD value), and were able to record an accurate data in a significantly reduced time compared with the conventional method of data collection. We are currently using WIPPER for routine management of rice germplasm including recording and documenting information on phenotypic data, seeds, and DNA for their accelerated utilization in crop breeding. |
format | Online Article Text |
id | pubmed-4482179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
spelling | pubmed-44821792015-07-14 WIPPER: an accurate and efficient field phenotyping platform for large-scale applications Utsushi, Hiroe Abe, Akira Tamiru, Muluneh Ogasawara, Yumiko Obara, Tsutomu Sato, Emiko Ochiai, Yusuke Terauchi, Ryohei Takagi, Hiroki Breed Sci Note More accurate, rapid, and easy phenotyping tools are required to match the recent advances in high-throughput genotyping for accelerating breeding and genetic analysis. The conventional data recording in field notebooks and then inputting data to computers for further analysis is inefficient, time-consuming, laborious, and prone to human error. Here, we report WIPPER (for Wireless Plant Phenotyper), a new phenotyping platform that combines field phenotyping and data recording with the aid of Bluetooth communication, thus saving time and labor not only for field data recoding but also for inputting data to computers. Additionally, it eliminates the risk of human error associated with phenotyping and inputting data. We applied WIPPER to 100 individuals of a rice recombinant inbred line (RIL) for measuring leaf width and relative chlorophyll content (SPAD value), and were able to record an accurate data in a significantly reduced time compared with the conventional method of data collection. We are currently using WIPPER for routine management of rice germplasm including recording and documenting information on phenotypic data, seeds, and DNA for their accelerated utilization in crop breeding. Japanese Society of Breeding 2015-06 2015-06-01 /pmc/articles/PMC4482179/ /pubmed/26175626 http://dx.doi.org/10.1270/jsbbs.65.285 Text en Copyright © 2015 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Note Utsushi, Hiroe Abe, Akira Tamiru, Muluneh Ogasawara, Yumiko Obara, Tsutomu Sato, Emiko Ochiai, Yusuke Terauchi, Ryohei Takagi, Hiroki WIPPER: an accurate and efficient field phenotyping platform for large-scale applications |
title | WIPPER: an accurate and efficient field phenotyping platform for large-scale applications |
title_full | WIPPER: an accurate and efficient field phenotyping platform for large-scale applications |
title_fullStr | WIPPER: an accurate and efficient field phenotyping platform for large-scale applications |
title_full_unstemmed | WIPPER: an accurate and efficient field phenotyping platform for large-scale applications |
title_short | WIPPER: an accurate and efficient field phenotyping platform for large-scale applications |
title_sort | wipper: an accurate and efficient field phenotyping platform for large-scale applications |
topic | Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482179/ https://www.ncbi.nlm.nih.gov/pubmed/26175626 http://dx.doi.org/10.1270/jsbbs.65.285 |
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