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Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces

This study was carried out with the aim of developing the methodology to determine elemental composition in wheat and identify the best germplasm for further research. Orphan and genetically diverse Afghan wheat landraces were chosen and EDXRF was used to measure the content of some of the elements...

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Autores principales: Kondou, Youichi, Manickavelu, Alagu, Komatsu, Kenji, Arifi, Mujiburahman, Kawashima, Mika, Ishii, Takayoshi, Hattori, Tomohiro, Iwata, Hiroyoshi, Tsujimoto, Hisashi, Ban, Tomohiro, Matsui, Minami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society of Breeding 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282750/
https://www.ncbi.nlm.nih.gov/pubmed/28163583
http://dx.doi.org/10.1270/jsbbs.16041
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author Kondou, Youichi
Manickavelu, Alagu
Komatsu, Kenji
Arifi, Mujiburahman
Kawashima, Mika
Ishii, Takayoshi
Hattori, Tomohiro
Iwata, Hiroyoshi
Tsujimoto, Hisashi
Ban, Tomohiro
Matsui, Minami
author_facet Kondou, Youichi
Manickavelu, Alagu
Komatsu, Kenji
Arifi, Mujiburahman
Kawashima, Mika
Ishii, Takayoshi
Hattori, Tomohiro
Iwata, Hiroyoshi
Tsujimoto, Hisashi
Ban, Tomohiro
Matsui, Minami
author_sort Kondou, Youichi
collection PubMed
description This study was carried out with the aim of developing the methodology to determine elemental composition in wheat and identify the best germplasm for further research. Orphan and genetically diverse Afghan wheat landraces were chosen and EDXRF was used to measure the content of some of the elements to establish elemental composition in grains of 266 landraces using 10 reference lines. Four elements, K, Mg, P, and Fe, were measured by standardizing sample preparation. The results of hierarchical cluster analysis using elemental composition data sets indicated that the Fe content has an opposite pattern to the other elements, especially that of K. By systematic analysis the best wheat germplasms for P content and Fe content were identified. In order to compare the sensitivity of EDXRF, the ICP method was also used and the similar results obtained confirmed the EDXRF methodology. The sampling method for measurement using EDXRF was optimized resulting in high-throughput profiling of elemental composition in wheat grains at low cost. Using this method, we have characterized the Afghan wheat landraces and isolated the best genotypes that have high-elemental content and have the potential to be used in crop improvement.
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spelling pubmed-52827502017-02-03 Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces Kondou, Youichi Manickavelu, Alagu Komatsu, Kenji Arifi, Mujiburahman Kawashima, Mika Ishii, Takayoshi Hattori, Tomohiro Iwata, Hiroyoshi Tsujimoto, Hisashi Ban, Tomohiro Matsui, Minami Breed Sci Research Paper This study was carried out with the aim of developing the methodology to determine elemental composition in wheat and identify the best germplasm for further research. Orphan and genetically diverse Afghan wheat landraces were chosen and EDXRF was used to measure the content of some of the elements to establish elemental composition in grains of 266 landraces using 10 reference lines. Four elements, K, Mg, P, and Fe, were measured by standardizing sample preparation. The results of hierarchical cluster analysis using elemental composition data sets indicated that the Fe content has an opposite pattern to the other elements, especially that of K. By systematic analysis the best wheat germplasms for P content and Fe content were identified. In order to compare the sensitivity of EDXRF, the ICP method was also used and the similar results obtained confirmed the EDXRF methodology. The sampling method for measurement using EDXRF was optimized resulting in high-throughput profiling of elemental composition in wheat grains at low cost. Using this method, we have characterized the Afghan wheat landraces and isolated the best genotypes that have high-elemental content and have the potential to be used in crop improvement. Japanese Society of Breeding 2016-12 2016-08-23 /pmc/articles/PMC5282750/ /pubmed/28163583 http://dx.doi.org/10.1270/jsbbs.16041 Text en Copyright © 2016 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 Research Paper
Kondou, Youichi
Manickavelu, Alagu
Komatsu, Kenji
Arifi, Mujiburahman
Kawashima, Mika
Ishii, Takayoshi
Hattori, Tomohiro
Iwata, Hiroyoshi
Tsujimoto, Hisashi
Ban, Tomohiro
Matsui, Minami
Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces
title Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces
title_full Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces
title_fullStr Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces
title_full_unstemmed Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces
title_short Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces
title_sort analysis of grain elements and identification of best genotypes for fe and p in afghan wheat landraces
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282750/
https://www.ncbi.nlm.nih.gov/pubmed/28163583
http://dx.doi.org/10.1270/jsbbs.16041
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