TY - JOUR A1 - Edlich-Muth, Christian A1 - Muraya, Moses M. A1 - Altmann, Thomas A1 - Selbig, Joachim T1 - Phenomic prediction of maize hybrids JF - Biosystems : journal of biological and information processing sciences N2 - Phenomic experiments are carried out in large-scale plant phenotyping facilities that acquire a large number of pictures of hundreds of plants simultaneously. With the aid of automated image processing, the data are converted into genotype-feature matrices that cover many consecutive days of development. Here, we explore the possibility of predicting the biomass of the fully grown plant from early developmental stage image-derived features. We performed phenomic experiments on 195 inbred and 382 hybrid maizes varieties and followed their progress from 16 days after sowing (DAS) to 48 DAS with 129 image-derived features. By applying sparse regression methods, we show that 73% of the variance in hybrid fresh weight of fully-grown plants is explained by about 20 features at the three-leaf-stage or earlier. Dry weight prediction explained over 90% of the variance. When phenomic features of parental inbred lines were used as predictors of hybrid biomass, the proportion of variance explained was 42 and 45%, for fresh weight and dry weight models consisting of 35 and 36 features, respectively. These models were very robust, showing only a small amount of variation in performance over the time scale of the experiment. We also examined mid-parent heterosis in phenomic features. Feature heterosis displayed a large degree of variance which resulted in prediction performance that was less robust than models of either parental or hybrid predictors. Our results show that phenomic prediction is a viable alternative to genomic and metabolic prediction of hybrid performance. In particular, the utility of early-stage parental lines is very encouraging. (C) 2016 Elsevier Ireland Ltd. All rights reserved. KW - Hybrid prediction KW - LASSO KW - Regression KW - Maize KW - Phenomics Y1 - 2016 U6 - https://doi.org/10.1016/j.biosystems.2016.05.008 SN - 0303-2647 SN - 1872-8324 VL - 146 SP - 102 EP - 109 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - ´Cwiek-Kupczynska, Hanna A1 - Altmann, Thomas A1 - Arend, Daniel A1 - Arnaud, Elizabeth A1 - Chen, Dijun A1 - Cornut, Guillaume A1 - Fiorani, Fabio A1 - Frohmberg, Wojciech A1 - Junker, Astrid A1 - Klukas, Christian A1 - Lange, Matthias A1 - Mazurek, Cezary A1 - Nafissi, Anahita A1 - Neveu, Pascal A1 - van Oeveren, Jan A1 - Pommier, Cyril A1 - Poorter, Hendrik A1 - Rocca-Serra, Philippe A1 - Sansone, Susanna-Assunta A1 - Scholz, Uwe A1 - van Schriek, Marco A1 - Seren, Ümit A1 - Usadel, Bjorn A1 - Weise, Stephan A1 - Kersey, Paul A1 - Krajewski, Pawel T1 - Measures for interoperability of phenotypic data: minimum information requirements and formatting JF - Plant Methods N2 - Background: Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time-consuming experiments, the findings can be fostered by reusing and combining existing datasets. Their correct interpretation, and thus replicability, comparability and interoperability, is possible provided that the collected observations are equipped with an adequate set of metadata. So far there have been no common standards governing phenotypic data description, which hampered data exchange and reuse. Results: In this paper we propose the guidelines for proper handling of the information about plant phenotyping experiments, in terms of both the recommended content of the description and its formatting. We provide a document called "Minimum Information About a Plant Phenotyping Experiment", which specifies what information about each experiment should be given, and a Phenotyping Configuration for the ISA-Tab format, which allows to practically organise this information within a dataset. We provide examples of ISA-Tab-formatted phenotypic data, and a general description of a few systems where the recommendations have been implemented. Conclusions: Acceptance of the rules described in this paper by the plant phenotyping community will help to achieve findable, accessible, interoperable and reusable data. KW - Data standardisation and formatting KW - Experimental metadata KW - Minimum information recommendations KW - Plant phenotyping KW - Experiment description Y1 - 2016 U6 - https://doi.org/10.1186/s13007-016-0144-4 SN - 1746-4811 VL - 12 PB - BioMed Central CY - London ER - TY - GEN A1 - Ćwiek-Kupczyńska, Hanna A1 - Altmann, Thomas A1 - Arend, Daniel A1 - Arnaud, Elizabeth A1 - Chen, Dijun A1 - Cornut, Guillaume A1 - Fiorani, Fabio A1 - Frohmberg, Wojciech A1 - Junker, Astrid A1 - Klukas, Christian A1 - Lange, Matthias A1 - Mazurek, Cezary A1 - Nafissi, Anahita A1 - Neveu, Pascal A1 - van Oeveren, Jan A1 - Pommier, Cyril A1 - Poorter, Hendrik A1 - Rocca-Serra, Philippe A1 - Sansone, Susanna-Assunta A1 - Scholz, Uwe A1 - van Schriek, Marco A1 - Seren, Ümit A1 - Usadel, Björn A1 - Weise, Stephan A1 - Kersey, Paul A1 - Krajewski, Paweł T1 - Measures for interoperability of phenotypic data BT - minimum information requirements and formatting T2 - Plant methods N2 - Background: Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time ‑consuming experiments, the findings can be fostered by reusing and combin‑ ing existing datasets. Their correct interpretation, and thus replicability, comparability and interoperability, is possible provided that the collected observations are equipped with an adequate set of metadata. So far there have been no common standards governing phenotypic data description, which hampered data exchange and reuse. Results: In this paper we propose the guidelines for proper handling of the information about plant phenotyping experiments, in terms of both the recommended content of the description and its formatting. We provide a docu‑ ment called “Minimum Information About a Plant Phenotyping Experiment”, which specifies what information about each experiment should be given, and a Phenotyping Configuration for the ISA ‑Tab format, which allows to practically organise this information within a dataset. We provide examples of ISA ‑Tab ‑formatted phenotypic data, and a general description of a few systems where the recommendations have been implemented. Conclusions: Acceptance of the rules described in this paper by the plant phenotyping community will help to achieve findable, accessible, interoperable and reusable data. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 450 KW - data standardisation and formatting KW - experimental metadata KW - minimum information recommendations KW - plant phenotyping KW - experiment description Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-407299 ER -