Evidence map›Paper›PMID 28163583›Full record

ArticleBreeding science2016

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

Youichi Kondou, Alagu Manickavelu, Kenji Komatsu, Mujiburahman Arifi, Mika Kawashima, Takayoshi Ishii, Tomohiro Hattori, Hiroyoshi Iwata, Hisashi Tsujimoto, Tomohiro Ban and 1 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breeding science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 4 countries.

Youichi KondouDepartment of Biosciences, Kanto Gakuin University College of Science and Engineering, 1-50-1 Mutsura-Higashi, Kanazawa-ku, Yokohama, Kanagawa 236-8501, Japan; Center for Sustainable Resource Science, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
Alagu ManickaveluKihara Institute for Biological Research, Yokohama City University , 641-12 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813 , Japan.
Kenji KomatsuKihara Institute for Biological Research, Yokohama City University , 641-12 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813 , Japan.
Mujiburahman ArifiKihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813, Japan; Ministry of Agriculture, Irrigation and Livestock, Afghanistan.
Mika KawashimaCenter for Sustainable Resource Science, RIKEN Yokohama Institute , 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045 , Japan.
Takayoshi IshiiArid Land Research Center, Tottori University , Hamasaka 1390, Tottori 680-0001 , Japan.
Tomohiro HattoriDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo , 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657 , Japan.
Hiroyoshi IwataDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo , 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657 , Japan.
Hisashi TsujimotoArid Land Research Center, Tottori University , Hamasaka 1390, Tottori 680-0001 , Japan.
Tomohiro BanKihara Institute for Biological Research, Yokohama City University , 641-12 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813 , Japan.
Minami MatsuiCenter for Sustainable Resource Science, RIKEN Yokohama Institute , 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045 , Japan.
RIKEN Center for Sustainable Resource Science · JPThe University of Tokyo · JPYokohama City University · JPCentral University of Kerala · INLeibniz Institute of Plant Genetics and Crop Plant Research · DEMinistry of Agriculture and Livestock · ZMTottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

best genotypeselementshigh-throughput methodwheat landraces

Identifiers

PMID28163583
PMCPMC5282750
OpenAlexW2514942639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.