standards > reporting guideline > DOI:10.25504/FAIRsharing.nd9ce9

ready Minimum Information about Plant Phenotyping Experiment

Abbreviation: MIAPPE

General Information
MIAPPE is a reporting guideline for plant phenotyping experiments. It comprises a checklist, i.e., a list of attributes to describe an experiment so that it is understandable and replicable. It should be consulted by people recording and depositing plan phenotyping data. MIAPPE covers the description of the following aspects of plant phenotyping experiment: study, environment, experimental design, sample management, biosource, treatment and phenotype. A basic reference implementation of MIAPPE has been proposed for the ISA-Tab format. Other current developments include a Breeding API (BrAPI) implementation.

How to cite this record MIAPPE; Minimum Information about Plant Phenotyping Experiment; DOI:; Last edited: May 1, 2020, 4:17 p.m.; Last accessed: Oct 20 2020 9:41 p.m.

This record is maintained by hcwi  ORCID  and cpommier  ORCID

Record updated: April 28, 2020, 6:06 p.m. by hcwi.

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Towards recommendations for metadata and data handling in plant phenotyping.

Krajewski P, Chen D, Cwiek H, van Dijk AD, Fiorani F, Kersey P, Klukas C, Lange M, Markiewicz A, Nap JP, van Oeveren J, Pommier C, Scholz U, van Schriek M, Usadel B, Weise S
J Exp Bot 2015

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Measures for interoperability of phenotypic data: minimum information requirements and formatting

Cwiek-Kupczynska, H.; Altmann, T.; Arend, D.; Arnaud, E.; Chen, D.; Cornut, G.; Fiorani, F.; Frohmberg, W.; Junker, A.; Klukas, C.; Lange, M.; Mazurek, C.; Nafissi, A.; Neveu, P.; van Oeveren, J.; Pommier, C.; Poorter, H.; Rocca-Serra, P.; Sansone, S.; Scholz, U.; van Schriek, M.; Seren, U.; Usadel, B.; Weise, S.; Kersey, P. Krajewski, P.
Plant Methods 2016

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Enabling reusability of plant phenomic datasets with MIAPPE 1.1

Evangelia A. Papoutsoglou, Daniel Faria, Daniel Arend, Elizabeth Arnaud, Ioannis N. Athanasiadis, Inês Chaves, Frederik Coppens, Guillaume Cornut, Bruno V. Costa, Hanna Ćwiek‐Kupczyńska, Bert Droesbeke, Richard Finkers, Kristina Gruden, Astrid Junker, Graham J. King, Paweł Krajewski, Matthias Lange, Marie‐Angélique Laporte, Célia Michotey, Markus Oppermann, Richard Ostler, Hendrik Poorter, Ricardo Ramırez‐Gonzalez, Živa Ramšak, Jochen C. Reif, Philippe Rocca‐Serra, Susanna‐Assunta Sansone, Uwe Scholz, François Tardieu, Cristobal Uauy Björn Usadel, Richard G.F. Visser, Stephan Weise, Paul J. Kersey, Célia M. Miguel, Anne‐Françoise Adam‐Blondon and Cyril Pommier
New Phytologist 2020

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Related Databases (3)
Plant Genomics and Phenomics Research Data Repository
This repository provides several plant genomic and phenotypic datasets resulting from IPK and German Plant Phenotyping Network (DPPN) research activities. It was established in January 2015. The background of the study is in plant genetic resources, in particular the association of genotypes and phenotypes. This archive aims to provide data from the "system plant" - from the root to bloom and seed, as well from sequence analysis to systems biology.Ge

Genetic and Genomic Information System
GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.

CyVerse Data Common Repository
The Data Commons provides services to manage, organize, preserve, publish, discover, and reuse data. Using our pipelines, you can easily publish data to the NCBI or directly to the CyVerse Data Commons. CyVerse Curated Data are stable and have DOIs. Community Released Data are maintained by community members and may not be permanent.

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Grant Number(s)

  • 031A053A/B/C (Bundesministerium fur Bildung und Forschung)

  • 283496 (European FP7 Research infrastructures)

  • 28443 (European FP7 Research infrastructures)

  • ANR-11-INBS-0012 (Programme d'Investissements d'Avenir, National Research Agency (ANR), Paris, France)