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Reynolds, M. P., Chapman, S., Crespo-Herrera, L. A., Molero, G., Mondal, S., Pequeno, D. N. L., Pinto Espinosa, F., PiƱera-Chavez, F. J., Poland, J., Rivera-Amado, A. C., Saint Pierre, C., & Sukumaran, S. (2020). Breeder friendly phenotyping. Plant Science, 295, 110396. https://doi.org/10.1016/j.plantsci.2019.110396
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The word phenotyping can nowadays invoke visions of a drone or phenocart moving swiftly across research plots collecting high-resolution data sets on a wide array of traits. This has been made possible by recent advances in sensor technology and data processing. Nonetheless, more comprehensive often destructive phenotyping still has much to offer in breeding as well as research. This review considers the ābreeder friendlinessā of phenotyping within three main domains: (i) the āminimum data setā, where being āhandyā or accessible and easy to collect and use is paramount, visual assessment often being preferred; (ii) the high throughput phenotyping (HTP), relatively new for most breeders, and requiring significantly greater investment with technical hurdles for implementation and a steeper learning curve than the minimum data set; (iii) detailed characterization or āprecisionā phenotyping, typically customized for a set of traits associated with a target environment and requiring significant time and resources. While having been the subject of debate in the past, extra investment for phenotyping is becoming more accepted to capitalize on recent developments in crop genomics and prediction models, that can be built from the high-throughput and detailed precision phenotypes. This review considers different contexts for phenotyping, including breeding, exploration of genetic resources, parent building and translational research to deliver other new breeding resources, and how the different categories of phenotyping listed above apply to each. Some of the same tools and rules of thumb apply equally well to phenotyping for genetic analysis of complex traits and gene discovery.
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Journal
Plant Science
Journal volume
295
Journal issue
Article number
110396
Place of Publication
Netherlands
Publisher
Elsevier