Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 5/16/2019
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Phenotyping in grapevines is the assessment of qualitative and quantitative traits including growth, development, tolerance, resistance, architecture, physiology, chemistry, ecology and yield. Traditionally, phenotyping techniques relied on measurement of visual, chemical, physiological, or other characteristics by experts, often at low throughput. The use of standardized OIV or phenological descriptors and scales to phenotype grapevine traits has provided a good foundation for international adoption of phenotyping standards and cross-comparison of results. However, many of these descriptors are subjective, fail to capture complete trait variation, or may not be relevant to some studies. Phenomics, the future of phenotyping, brings opportunities and challenges in increased throughput, objectivity, precision, dynamic measures, and integration that demand new approaches for standardization, data management and analysis. Here, with a focus on large-scale genetic studies, such as QTL mapping, we describe current phenotyping approaches and their limitations and introduce some future opportunities in phenomics, including the promotion of FAIR data principles of Findability, Accessibility, Interoperability, and Reusability.