Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives

386Citations
Citations of this article
626Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Since whole-genome sequencing of many crops has been achieved, crop functional genomics studies have stepped into the big-data and high-throughput era. However, acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies. Nevertheless, recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years. In this article, we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades. We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies. Finally, we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype–genotype gap. It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding. In this review, we discuss the main developments of past decades on phenotyping indoor and outdoor, as well as post-harvest yield and quality assessment. In addition, we describe the latest multiomics works combining high-throughput phenotyping and genetic studies, and proposed key conceptual challenges and future perspectives that will bridge the phenotype–genotype gap and promote the next green revolution.

Cite

CITATION STYLE

APA

Yang, W., Feng, H., Zhang, X., Zhang, J., Doonan, J. H., Batchelor, W. D., … Yan, J. (2020, February 3). Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives. Molecular Plant. Cell Press. https://doi.org/10.1016/j.molp.2020.01.008

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free