Cited by 38Postharvest Quality and Shelf Life ManagementAdvanced Proteomics Techniques and ApplicationsFood Waste Reduction and Sustainability

Post‐harvest proteomics and food security

Open access
Pedreschi, Romina, Lurie, Susan, Hertog, Maarten, Nicolaï, Bart, Mes, Jurriaan, Woltering, Ernst·2013·PROTEOMICS

Abstract

To guarantee sufficient food supply for a growing world population, efforts towards improving crop yield and plant resistance should be complemented with efforts to reduce post‐harvest losses. Post‐harvest losses are substantial and occur at different stages of the food chain in developed and developing countries. In recent years, a substantially increasing interest can be seen in the application of proteomics to understand post‐harvest events. In the near future post‐harvest proteomics will be poised to move from fundamental research to aiding the reduction of food losses. Proteomics research can help in reducing food losses through (i) identification and validation of gene products associated to specific quality traits supporting marker‐assisted crop improvement programmes, (ii) delivering markers of initial quality that allow optimisation of distribution conditions and prediction of remaining shelf‐life for decision support systems and (iii) delivering early detection tools of physiological or pathogen‐related post‐harvest problems. In this manuscript, recent proteomics studies on post‐harvest and stress physiology are reviewed and discussed. Perspectives on future directions of post‐harvest proteomics studies aiming to reduce food losses are presented.

Integrity signals

Registry

Crossref · 10.1002/pmic.201200387

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

The citation lists haven’t been fetched yet

References 78 · Cited by 38

Authors
Pedreschi, R., Lurie, S., Hertog, M., Nicolaï, B., Mes, J., & Woltering, E.
Affiliations
  • Wageningen University & Research (NL)
  • Agricultural Research Organization (IL)
  • KU Leuven (BE)
Corresponding author
Pedreschi, Romina
Venue
PROTEOMICS
Publisher
Wiley
Published
2013-04-18
Volume
13
Issue
12-13
Pages
1772-1783
ISSN
  • 1615-9853 (ISSN-L)
  • 1615-9861
OpenAlex
W2030866268
Cited by
38
References
78
Citations by year
2026: 3 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 2 · 2018: 2 · 2017: 4 · 2016: 2 · 2015: 5 · 2014: 6 · 2013: 2
FWCI
0.54
Type
journal article
Language
en
Open access
Locations
  • PROTEOMICS (publishedVersion)
  • PubMed (publishedVersion)
  • Socio-Environmental Systems Modeling (acceptedVersion)
  • Lirias (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Postharvest Quality and Shelf Life Management
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Food Waste Reduction and Sustainability
Keywords
post-harvest losses, food security, food quality markers, shelf life prediction, stress physiology
MeSH terms
Food Supply, Plant Proteins, Biomarkers, Crops, Agricultural, Proteomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review