Evidence map›Paper›PMID 30840619›Full record

ArticlePloS one2019

Analysis of genetic control and QTL mapping of essential wheat grain quality traits in a recombinant inbred population.

Sonia Goel, Kalpana Singh, Balwant Singh, Sapna Grewal, Neeta Dwivedi, Abdulaziz A Alqarawi, Elsayed Fathi Abd Allah, Parvaiz Ahmad, N K Singh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
12.2field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Sonia GoelICAR-National Research centre on Plant Biotechnology, New Delhi, India.
Kalpana SinghWater Technology Centre, Indian Agriculture Research Institute, New Delhi, India.
Balwant SinghICAR-National Research centre on Plant Biotechnology, New Delhi, India.
Sapna GrewalICAR-National Research centre on Plant Biotechnology, New Delhi, India.
Neeta DwivediWater Technology Centre, Indian Agriculture Research Institute, New Delhi, India.
Abdulaziz A AlqarawiPlant Production Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia.
Elsayed Fathi Abd AllahPlant Production Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia.
Parvaiz AhmadBotany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-2734-4180
N K SinghICAR-National Research centre on Plant Biotechnology, New Delhi, India.
National Research Centre on Plant Biotechnology · INKing Saud University · SAIndian Agricultural Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat cultivars are genetically crossed to improve end-use quality for traits as per demands of baking industry and broad consumer preferences. The processing and baking qualities of bread wheat are influenced by a variety of genetic make-ups, environmental factors and their interactions. Two wheat cultivars, WL711 and C306, derived recombinant inbred lines (RILs) with a population of 206, were used for phenotyping of quality-related traits. The genetic analysis of quality traits showed considerable variation for measurable quality traits, with normal distribution and transgressive segregation across the years. From the 206 RILs, few RILs were found to be superior to those of the parental cultivars for key quality traits, indicating their potential use for the improvement of end-use quality and suggesting the probability of finding new alleles and allelic combinations from the RIL population. Mapping analysis identified 38 putative QTLs for 13 quality-related traits, with QTLs explaining 7.9-16.8% phenotypic variation spanning over 14 chromosomes, i.e., 1A, 1B, 1D, 2A, 2D, 3B, 3D, 4A, 4B, 4D, 5D, 6A, 7A and 7B. In-silico analysis based on homology to the annotated wheat genes present in database, identified six putative candidate genes within QTL for total grain protein content, qGPC.1B.1 region. Major QTL regions for other quality traits such as TKW have been identified on 1B, 2A, and 7A chromosomes in the studied RIL population. This study revealed the importance of the combination of stable QTLs with region-specific QTLs for better phenotyping, and the QTLs presented in our study will be useful for the improvement of wheat grain and bread-making quality.

Indexed as

Food QualityInbreedingQuantitative Trait LociChromosome MappingChromosomes, PlantGene Expression Regulation, PlantGenetic LinkageGenotypePhenotypePlant BreedingPlant ProteinsTriticumPlant Proteins

Identifiers

PMID30840619
PMCPMC6402682
OpenAlexW2953339229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.