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Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement

BACKGROUND: A total of 150 bread wheat genotypes representing 121 Indian and 29 Turkish origin were screened for nutrient concentrations and grain protein content. Elemental and grain protein composition were studied by Inductively Coupled Plasma-Atomic Emission Spectrophotometer and LECO analyser,...

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Autores principales: Pandey, Anamika, Khan, Mohd Kamran, Hakki, Erdogan E., Thomas, George, Hamurcu, Mehmet, Gezgin, Sait, Gizlenci, Ozge, Akkaya, Mahinur S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095102/
https://www.ncbi.nlm.nih.gov/pubmed/27867819
http://dx.doi.org/10.1186/s40064-016-3586-2
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author Pandey, Anamika
Khan, Mohd Kamran
Hakki, Erdogan E.
Thomas, George
Hamurcu, Mehmet
Gezgin, Sait
Gizlenci, Ozge
Akkaya, Mahinur S.
author_facet Pandey, Anamika
Khan, Mohd Kamran
Hakki, Erdogan E.
Thomas, George
Hamurcu, Mehmet
Gezgin, Sait
Gizlenci, Ozge
Akkaya, Mahinur S.
author_sort Pandey, Anamika
collection PubMed
description BACKGROUND: A total of 150 bread wheat genotypes representing 121 Indian and 29 Turkish origin were screened for nutrient concentrations and grain protein content. Elemental and grain protein composition were studied by Inductively Coupled Plasma-Atomic Emission Spectrophotometer and LECO analyser, respectively. The study was performed to determine the variability in nutrient concentrations present in the collected wheat genetic material from two countries. RESULTS: Several fold variations among genotypes existed for almost all the elements. Three major components of principal component analysis (PCA) revealed 60.8% variation among the genotypes. Nutrient variables segregated into two groups, one group containing all the macroelements except sulphur; and another cluster containing proteins and all the microelements except Zn and Mn. Pearson correlation analysis and heat-map were in accordance with each other determining strong positive association between P–K, Mn–Zn, Mg–S and Cu–protein content. Also, PCA and hierarchical grouping divided all the Indian and Turkish genotypes in two main clusters. CONCLUSIONS: Nutritional profile differentiated the genotypes from two countries into separate groups. However, some of the varieties were closely associated and indicated the success of global wheat exchange programs. While most of the correlations were in agreement with the previous studies, non-association of zinc with grain protein content directed towards its control by some other genetic factors. Some of the experimental wheat varieties with promising nutrient content have been suggested for future wheat advancement programs. Results obtained will be supportive for breeders involved in wheat biofortification programs, food industries and people relying on whole grain wheat products. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40064-016-3586-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-50951022016-11-18 Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement Pandey, Anamika Khan, Mohd Kamran Hakki, Erdogan E. Thomas, George Hamurcu, Mehmet Gezgin, Sait Gizlenci, Ozge Akkaya, Mahinur S. Springerplus Research BACKGROUND: A total of 150 bread wheat genotypes representing 121 Indian and 29 Turkish origin were screened for nutrient concentrations and grain protein content. Elemental and grain protein composition were studied by Inductively Coupled Plasma-Atomic Emission Spectrophotometer and LECO analyser, respectively. The study was performed to determine the variability in nutrient concentrations present in the collected wheat genetic material from two countries. RESULTS: Several fold variations among genotypes existed for almost all the elements. Three major components of principal component analysis (PCA) revealed 60.8% variation among the genotypes. Nutrient variables segregated into two groups, one group containing all the macroelements except sulphur; and another cluster containing proteins and all the microelements except Zn and Mn. Pearson correlation analysis and heat-map were in accordance with each other determining strong positive association between P–K, Mn–Zn, Mg–S and Cu–protein content. Also, PCA and hierarchical grouping divided all the Indian and Turkish genotypes in two main clusters. CONCLUSIONS: Nutritional profile differentiated the genotypes from two countries into separate groups. However, some of the varieties were closely associated and indicated the success of global wheat exchange programs. While most of the correlations were in agreement with the previous studies, non-association of zinc with grain protein content directed towards its control by some other genetic factors. Some of the experimental wheat varieties with promising nutrient content have been suggested for future wheat advancement programs. Results obtained will be supportive for breeders involved in wheat biofortification programs, food industries and people relying on whole grain wheat products. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40064-016-3586-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2016-11-03 /pmc/articles/PMC5095102/ /pubmed/27867819 http://dx.doi.org/10.1186/s40064-016-3586-2 Text en © The Author(s) 2016 Open AccessThis 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 Research
Pandey, Anamika
Khan, Mohd Kamran
Hakki, Erdogan E.
Thomas, George
Hamurcu, Mehmet
Gezgin, Sait
Gizlenci, Ozge
Akkaya, Mahinur S.
Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement
title Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement
title_full Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement
title_fullStr Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement
title_full_unstemmed Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement
title_short Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement
title_sort assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095102/
https://www.ncbi.nlm.nih.gov/pubmed/27867819
http://dx.doi.org/10.1186/s40064-016-3586-2
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