棉花高通量表型分析
摘要：棉花（Gossypium hirsutum L.）表型分析技术的进步提高了数据收集和分析的效率。高通量表型分析（High-throughput phenotyping, HTP）是一种非破坏性和快速监测、测量与生长、产量和生物或非生物胁迫的适应性相关的多种表型性状的方法。研究人员进行了大量的HTP实验，并开发了光谱、荧光、热成像和三维成像等技术来测量棉花的形态、生理和抗病性特征。此外，还开发了地面和空中HTP系统平台。本文从棉花的形态和生理特征出发，重点介绍了HTP技术在棉花上的应用技术和最新进展，综述了HTP系统在棉花种植中的应用前景，并比较了它们在棉花生产中的优势和局限性。总的来说，HTP的使用为准确、高效地测量和分析棉花的多种性状提供了很多机会。然而，由于HTP的相对新颖性，因此也存在一些局限，限制了它的充分利用。为了提高HTP的准确性和实用性，需要应对这些挑战，这可以通过大数据集成分析技术和成像技术的不断进步来实现。
Abstract: Recent technological advances in cotton (Gossypium hirsutum L.) phenotyping have offered tools to improve the efficiency of data collection and analysis. High-throughput phenotyping (HTP) is a non-destructive and rapid approach of monitoring and measuring multiple phenotypic traits related to the growth, yield, and adaptation to biotic or abiotic stress. Researchers have conducted extensive experiments on HTP and developed techniques including spectral, fluorescence, thermal, and three-dimensional imaging to measure the morphological, physiological, and pathological resistance traits of cotton. In addition, ground-based and aerial-based platforms were also developed to aid in the implementation of these HTP systems. This review paper highlights the techniques and recent developments for HTP in cotton, reviews the potential applications according to morphological and physiological traits of cotton, and compares the advantages and limitations of these HTP systems when used in cotton cropping systems. Overall, the use of HTP has generated many opportunities to accurately and efficiently measure and analyze diverse traits of cotton. However, because of its relative novelty, HTP has some limitations that constrains the ability to take full advantage of what it can offer. These challenges need to be addressed to increase the accuracy and utility of HTP, which can be done by integrating analytical techniques for big data and continuous advances in imaging.
Title: High-throughput phenotyping in cotton: a review
Authors: PABUAYON Irish Lorraine B., SUN Yazhou, GUO Wenxuan & RITCHIE Glen L.
Journal of Cotton Research. 2019; 2:18
https://doi.org/10.1186/s42397-019-0035-0
发布日期: 2019-11-06
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