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

Overview of attention for article published in SpringerPlus, November 2016
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Title
Assessment of genetic variability for grain nutrients from diverse regions: potential for wheat improvement
Published in
SpringerPlus, November 2016
DOI 10.1186/s40064-016-3586-2
Pubmed ID
Authors

Anamika Pandey, Mohd Kamran Khan, Erdogan E. Hakki, George Thomas, Mehmet Hamurcu, Sait Gezgin, Ozge Gizlenci, Mahinur S. Akkaya

Abstract

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. 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. 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Ph. D. Student 8 11%
Student > Master 7 10%
Other 5 7%
Student > Doctoral Student 4 6%
Other 13 19%
Unknown 20 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 54%
Biochemistry, Genetics and Molecular Biology 5 7%
Medicine and Dentistry 3 4%
Veterinary Science and Veterinary Medicine 1 1%
Economics, Econometrics and Finance 1 1%
Other 3 4%
Unknown 19 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2016.
All research outputs
#18,480,433
of 22,899,952 outputs
Outputs from SpringerPlus
#1,261
of 1,850 outputs
Outputs of similar age
#235,356
of 311,569 outputs
Outputs of similar age from SpringerPlus
#81
of 113 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.