ArticleFrontiers in plant science2018
Assessing the Efficiency of Phenotyping Early Traits in a Greenhouse Automated Platform for Predicting Drought Tolerance of Soybean in the Field.
Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Genomic and phenomic prediction for soybean seed yield, protein, and oil.The plant genome · 2025Article
- Agronomic and anatomic performance of some soybean genotypes under optimal and water-deficit conditions.Frontiers in plant science · 2025Article
- Meta-analysis unravels common responses of seed oil fatty acids to temperature for a wide set of genotypes of different plant species.Frontiers in plant science · 2024Article
- Robotized indoor phenotyping allows genomic prediction of adaptive traits in the field.Nature communications · 2023Article
- High-precision plant height measurement by drone with RTK-GNSS and single camera for real-time processing.Scientific reports · 2023Article
- Proteomic Profile of Glyphosate-Resistant Soybean under Combined Herbicide and Drought Stress Conditions.Plants (Basel, Switzerland) · 2021Article
- Review
- Digital Phenotyping to Delineate Salinity Response in Safflower Genotypes.Frontiers in plant science · 2021Article
- Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions.Frontiers in plant science · 2021Article
- High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field.Frontiers in bioengineering and biotechnology · 2020Review
- Dissecting new genetic components of salinity tolerance in two-row spring barley at the vegetative and reproductive stages.PloS one · 2020Article
- Genetically Different Isolates of the Arbuscular Mycorrhizal FungusFrontiers in plant science · 2020Article
- A Robust Automated Image-Based Phenotyping Method for Rapid Vegetative Screening of Wheat Germplasm for Nitrogen Use Efficiency.Frontiers in plant science · 2019Article
- Detection of quantitative trait loci associated with drought tolerance in St. Augustinegrass.PloS one · 2019Article
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Authors and funding
5 authors.
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Abstract
Conventional field phenotyping for drought tolerance, the most important factor limiting yield at a global scale, is labor-intensive and time-consuming. Automated greenhouse platforms can increase the precision and throughput of plant phenotyping and contribute to a faster release of drought tolerant varieties. The aim of this work was to establish a framework of analysis to identify early traits which could be efficiently measured in a greenhouse automated phenotyping platform, for predicting the drought tolerance of field grown soybean genotypes. A group of genotypes was evaluated, which showed variation in their drought susceptibility index (DSI) for final biomass and leaf area. A large number of traits were measured before and after the onset of a water deficit treatment, which were analyzed under several criteria: the significance of the regression with the DSI, phenotyping cost, earliness, and repeatability. The most efficient trait was found to be transpiration efficiency measured at 13 days after emergence. This trait was further tested in a second experiment with different water deficit intensities, and validated using a different set of genotypes against field data from a trial network in a third experiment. The framework applied in this work for assessing traits under different criteria could be helpful for selecting those most efficient for automated phenotyping.
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