e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Post-mortem changes in sarcoplasmic proteome and its relationship to meat color traits in M. semitendinosus of Chinese Luxi yellow cattle


Exploration of the potential predictors of meat discoloration is a challenging task, especially in Luxi yellow cattle that are highly appreciated breed in China. In the present study, the variations in meat color attributes and sarcoplasmic proteome of M. semitendinosus during post-mortem storage (0, 5, 10 and 15 days) were evaluated and analyzed via integrating proteomics and bioinformatics. The proteomics results revealed that meat discoloration gradually occurred during storage periods, while sarcoplasmic proteome experienced complex changes. Among the differential proteins identified by comparison between day 0 and days 5, 10 and 15, triosephosphate isomerase, L-lactate dehydrogenase A chain isoform, fructose-bisphosphate aldolase A isoform, peroxiredoxin-6, and pyruvate kinase isozymes M1/M2 isoform are highly related to meat color parameters, which may serve as the candidate predictors for monitoring of meat discoloration during post-mortem. Furthermore, Gene Ontology and protein-protein interaction analyses indicated that they are representative proteins of the glycolytic metabolism and the redox process during post-mortem storage, suggesting a potential relationship between post-mortem discoloration and these proteins. The present results provide the theoretic basis of searching novel strategies to maintain the stability of meat color. (C) 2015 Elsevier Ltd. All rights reserved.

  • CN
  • DK
  • China_Agr_Univ_CAU (CN)
  • Hebei_Univ_Sci_&_Technol (CN)
  • Aarhus_Univ (DK)
Data keywords
  • ontology
Agriculture keywords
  • cattle
Data topic
  • big data
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • China_Agr_Univ_CAU (CN)
  • Aarhus_Univ (DK)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.