2020
DOI: 10.1111/nph.16544
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Abstract: Summary Enabling data reuse and knowledge discovery is increasingly critical in modern science, and requires an effort towards standardising data publication practices. This is particularly challenging in the plant phenotyping domain, due to its complexity and heterogeneity. We have produced the MIAPPE 1.1 release, which enhances the existing MIAPPE standard in coverage, to support perennial plants, in structure, through an explicit data model, and in clarity, through definitions and examples. We evaluated M… Show more

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Cited by 90 publications
(70 citation statements)
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“…Observations of the target trait can be either measured or estimated and should be ideally referenced to the observation date and to the phenological stage of the plant during observation (Billiau et al 2012;White et al 2013; Germeier and Unger 2019). For instance, the second phase of the International Musa Testing Program (IMTP) used the following attributes (Orjeda 2000): genotype, time from planting to shooting (days), time from shooting to harvest (days), time from planting to harvest (days), height of the pseudostem at shooting (cm), height of the following sucker at harvest (cm), bunch weight (cm), number of hands per bunch (hands), total number of fingers per bunch (fingers), average fruit weight (g) and leaf emission rate.…”
Section: Agronomic Performance Datamentioning
confidence: 99%
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“…Observations of the target trait can be either measured or estimated and should be ideally referenced to the observation date and to the phenological stage of the plant during observation (Billiau et al 2012;White et al 2013; Germeier and Unger 2019). For instance, the second phase of the International Musa Testing Program (IMTP) used the following attributes (Orjeda 2000): genotype, time from planting to shooting (days), time from shooting to harvest (days), time from planting to harvest (days), height of the pseudostem at shooting (cm), height of the following sucker at harvest (cm), bunch weight (cm), number of hands per bunch (hands), total number of fingers per bunch (fingers), average fruit weight (g) and leaf emission rate.…”
Section: Agronomic Performance Datamentioning
confidence: 99%
“…Germeier and Unger (2019) applied a modelling approach that goes further than data models, considering also statistical models in the implementation of a phenotyping information system. Efforts to standardize phenotyping data include the Mi nim al I nf or mat ion About Pl ant Phenotyping Experiment (MIAPPE) (Krajewski et al 2015;Ćwiek-Kupczyńska et al 2016;Papoutsoglou et al 2020). Efforts to standardize data from field experiments include the International Consortium for Agricultural Systems Applications (ICASA) standard, initially developed by the International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) and updated by ICASA (White et al 2013).…”
Section: Efforts To Overcome Data Management Problemsmentioning
confidence: 99%
“…For example, the aforementioned PGP repository, which is hosted at the IPK Gatersleben, focuses among other things on plant phenotyping data. Therefore, the reviewers carefully check whether submitted datasets providing phenotypic data contain MIAPPE-compliant [ 15 ] metadata. A further challenge for scientists is to choose the suitable public and community-approved repository to share their data, assuming they have no recommendation, e.g., by journal publishers or research data management plans defined by the project.…”
Section: Resultsmentioning
confidence: 99%
“…In the case that data should be submitted to database systems, e.g., the European Bioinformatics Institute (EBI) and NCBI core data resources, bioinformaticians are charged and trained to meet the specific submission requirements and support biologists. Examples are the preparation of data for submission to the EBI European Nucleotide Archive (ENA) [ 12 , 13 ], the European Variation Archive (EVA) [ 14 ], or the preparation of ISA-TAB–compatible data submission for plant phenotyping data [ 15 , 16 ]. Alternatively, institutes could set up project-related data repositories.…”
Section: Introductionmentioning
confidence: 99%
“…The observation scores used for phenotyping are described in an embedded "Trait Definition File." Thus, the provided metadata complies with the version 1.1 of the MIAPPE standard (Krajewski et al, 2015;Ćwiek-Kupczyńska et al, 2016;Papoutsoglou et al, 2020). Due to the strong diversity of phenotypic research data, the standard was initially developed to explain the minimal information that is necessary to describe plant phenotypic experiments.…”
Section: Miappe-compliant Isa-tab Exportmentioning
confidence: 99%