High-throughput phenotyping: Breaking through the bottleneck in future crop breeding

文献类型： 外文期刊

第一作者： Song, Peng

作者： Song, Peng;Wang, Jinglu;Yang, Wanneng;Wang, Jinglu;Guo, Xinyu;Zhao, Chunjiang

作者机构：

关键词： High-throughput phenotyping; Crop breeding; Crop phenomics; Phenotyping platform; Data analysis

期刊名称：CROP JOURNAL （ 影响因子：4.407； 五年影响因子：5.687 ）

ISSN： 2095-5421

年卷期： 2021 年 9 卷 3 期

页码：

收录情况： SCI

摘要： With the rapid development of genetic analysis techniques and crop population size, phenotyping has become the bottleneck restricting crop breeding. Breaking through this bottleneck will require phenomics, defined as the accurate, high-throughput acquisition and analysis of multi-dimensional phenotypes during crop growth at organism-wide levels, ranging from cells to organs, individual plants, plots, and fields. Here we offer an overview of crop phenomics research from technological and platform viewpoints at various scales, including microscopic, ground-based, and aerial phenotyping and phenotypic data analysis. We describe recent applications of high-throughput phenotyping platforms for abiotic/biotic stress and yield assessment. Finally, we discuss current challenges and offer perspectives on future phenomics research. (C) 2021 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.

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