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A short review: Comparisons of high-throughput phenotyping methods for detecting drought tolerance

机译:简短评论:用于检测耐旱性耐受的高吞吐量表型方法的比较

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Drought is a major threat worldwide for crop production, especially due to the rapid climate changes. Current drought solutions involve improving irrigation system, rainwater harvesting, damming, cloud seeding, and changes of cultivation methods. Despite effective, each solution has economic, environmental, and temporal drawbacks. Among all solutions, the most effective, inexpensive and manageable method is the use of drought-tolerant cultivars via plant breeding. However, conventional plant breeding is a time-consuming and laborious task, especially for phenotypic data acquisition of target traits of numerous progenies. High-throughput phenotyping (HTP) is a recently developed method and has potential to overcome the mentioned issues. HTP offers massive, accurate, rapid, and automatic data acquisition in the breeding procedure and can be a breakthrough for developing drought resistant/tolerant cultivars. This study introduces various methods of HTP to detect drought stress, which can accelerate the breeding processes of drought-tolerant cultivars to provide helpful guidelines for breeders and researchers to choose appropriate methods.
机译:干旱是全球范围内的作物生产的主要威胁,特别是由于气候变化的快速变化。目前的干旱解决方案涉及改善灌溉系统,雨水收获,渔裂,云播种以及栽培方法的变化。尽管有效,但各种解决方案都具有经济,环境和时间缺点。在所有解决方案中,最有效,廉价且可管理的方法是通过植物育种使用耐旱品种。然而,常规的植物育种是一种耗时和艰苦的任务,特别是对于表型数据获取众多后代的目标性状。高吞吐量表型(HTP)是最近开发的方法,并且有可能克服提到的问题。 HTP在育种程序中提供大规模,准确,快速,自动的数据采集,可以是开发抗旱/耐栽培品种的突破。本研究介绍了检测干旱胁迫的各种HTP方法,可加速耐旱品种的育种过程,为育种者和研究人员提供有用的准则,以选择合适的方法。

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