Evidence map›Paper›PMID 38440412›Full record

ReviewFood and energy security2023

Reviving grain quality in wheat through non-destructive phenotyping techniques like hyperspectral imaging.

Luqman B Safdar, Kateryna Dugina, Ali Saeidan, Guilherme V Yoshicawa, Nicola Caporaso, Brighton Gapare, M Jawad Umer, Rahul A Bhosale, Iain R Searle, M John Foulkes and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Food and energy security, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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

12 authors at 5 institutions in 3 countries.

Luqman B SafdarInternational Flavour Research Centre, Division of Food, Nutrition and Dietetics University of Nottingham Loughborough UK.ORCID https://orcid.org/0000-0002-9544-8259
Kateryna DuginaInternational Flavour Research Centre, Division of Food, Nutrition and Dietetics University of Nottingham Loughborough UK.ORCID https://orcid.org/0000-0001-7212-6428
Ali SaeidanInternational Flavour Research Centre, Division of Food, Nutrition and Dietetics University of Nottingham Loughborough UK.ORCID https://orcid.org/0009-0006-3772-1217
Guilherme V YoshicawaPlant Research Centre, School of Agriculture, Food and Wine University of Adelaide Glen Osmond South Australia Australia.ORCID https://orcid.org/0000-0001-5715-640X
Nicola CaporasoBühler UK Limited London UK.ORCID https://orcid.org/0000-0002-1826-2565
Brighton GapareDivision of Plant and Crop Sciences, School of Biosciences University of Nottingham Loughborough UK.ORCID https://orcid.org/0009-0005-3037-6206
M Jawad UmerCotton Research Institute Chinese Academy of Agricultural Sciences Anyang China.ORCID https://orcid.org/0000-0003-2043-0684
Rahul A BhosaleDivision of Plant and Crop Sciences, School of Biosciences University of Nottingham Loughborough UK.ORCID https://orcid.org/0000-0001-6515-4922
Iain R SearleSchool of Biological Sciences University of Adelaide Adelaide South Australia Australia.ORCID https://orcid.org/0000-0003-4306-9756
M John FoulkesDivision of Plant and Crop Sciences, School of Biosciences University of Nottingham Loughborough UK.ORCID https://orcid.org/0000-0002-7765-8340
Scott A BodenPlant Research Centre, School of Agriculture, Food and Wine University of Adelaide Glen Osmond South Australia Australia.ORCID https://orcid.org/0000-0001-5297-4067
Ian D FiskInternational Flavour Research Centre, Division of Food, Nutrition and Dietetics University of Nottingham Loughborough UK.ORCID https://orcid.org/0000-0001-8448-3123
University of Nottingham · GBAustralian Centre for Plant Functional Genomics · AUBühler (United Kingdom) · GBCotton Research Institute · CNThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A long-term goal of breeders and researchers is to develop crop varieties that can resist environmental stressors and produce high yields. However, prioritising yield often compromises improvement of other key traits, including grain quality, which is tedious and time-consuming to measure because of the frequent involvement of destructive phenotyping methods. Recently, non-destructive methods such as hyperspectral imaging (HSI) have gained attention in the food industry for studying wheat grain quality. HSI can quantify variations in individual grains, helping to differentiate high-quality grains from those of low quality. In this review, we discuss the reduction of wheat genetic diversity underlying grain quality traits due to modern breeding, key traits for grain quality, traditional methods for studying grain quality and the application of HSI to study grain quality traits in wheat and its scope in breeding. Our critical review of literature on wheat domestication, grain quality traits and innovative technology introduces approaches that could help improve grain quality in wheat.

Indexed as

grain qualityhyperspectral imagingplant breedingwheat

Identifiers

PMID38440412
PMCPMC10909436
OpenAlexW4386419407

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.