Engineering plants for tomorrow: how high-throughput phenotyping is contributing to the development of better crops

• Published in: Phytochemistry reviews Vol. 17; no. 6; pp. 1329 - 1343
• Main Authors: Campbell, Zachary C., Acosta-Gamboa, Lucia M., Nepal, Nirman, Lorence, Argelia
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01-12-2018; Springer Nature B.V
• Subjects: Biochemistry; Biomedical and Life Sciences; Chemical composition; Chemistry/Food Science; Crop resilience; Crop yield; Crops; Datasets; Life Sciences; Organic Chemistry; Phenotypes; Phenotyping; Plant Genetics and Genomics; Plant Sciences; Plants (botany); Plant phenotypes; High-throughput plant phenotyping; Abiotic stress tolerance; Phenomes; Phenomics
• ISSN: 1568-7767; 1572-980X
• DOI: 10.1007/s11101-018-9585-x

High-throughput plant phenotyping has been advancing at an accelerated rate as a response to the need to fill the gap between genomic information and the plasticity of the plant phenome. During the past decade, North America has seen a stark increase in the number of phenotyping facilities, and these groups are actively contributing to the generation of high-dimensional, richly informative datasets about the phenotype of model and crop plants. As both phenomic datasets and analysis tools are made publicly available, the key to engineering more resilient crops to meet global demand is closer than ever. However, there are a number of bottlenecks that must yet be overcome before this can be achieved. In this paper, we present an overview of the most commonly used sensors that empower digital phenotyping and the information they provide. We also describe modern approaches to identify and characterize plants that are resilient to common abiotic and biotic stresses that limit growth and yield of crops. Of interest to researchers working in plant biochemistry, we also include a section discussing the potential of these high-throughput approaches in linking phenotypic data with chemical composition data. We conclude by discussing the main bottlenecks that still remain in the field and the importance of multidisciplinary teams and collaboration to overcome those challenges.