IF 6.3 Q1 AGRICULTURAL ENGINEERING
Ittipon Khuimphukhieo , Jorge A. da Silva
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引用次数: 0

摘要

据预测,如果生产率保持不变,到 2050 年,由于全球人口增长,粮食将供不应求。用耕地取代天然植被是不可持续的,因为这会导致全球变暖加剧。通过人工选择(也称为植物育种)提高基因增殖率是一种可持续的方法。表型分析是测量植物特征(性状)的过程,在植物育种过程中,无论使用哪种方法(分子方法或传统方法),表型分析都是不可避免的。传统的复杂性状表型由于耗费大量人力和时间,一直是一个瓶颈。近年来,利用无人机系统(UAS)进行农业应用以及高通量表型(HTP)平台的科学研究方兴未艾。虽然已有关于基于无人机系统的高通量表型分析的文献综述,但讨论实施这一工具的管道以及植物育种人员在何种情况下或应用中可以利用这一工具的综述仍然有限。因此,本文概述了:(1)植物育种流程中的潜在瓶颈;(2)实施基于 UAS 的 HTP 所需的必要设备和常规流程;(3)利用基于 UAS 的 HTP 可以完成的各种植物表型任务,包括性状直接测量、预测性育种、(4) 基于 UAS 的 HTP 对提高遗传增益率的贡献,以及 (5) 概述高通量时代植物育种与人工智能的未来发展方向。这篇全面的综述将对植物育种者,尤其是那些正在考虑在其项目中采用这项技术的育种者大有裨益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unmanned aerial systems (UAS)-based field high throughput phenotyping (HTP) as plant breeders’ toolbox: A comprehensive review

Unmanned aerial systems (UAS)-based field high throughput phenotyping (HTP) as plant breeders’ toolbox: A comprehensive review
It is projected that food demand will exceed its supply in 2050 due to global population growth if the production rate remains the same. Replacement of natural vegetation by cropland is unsustainable as it could cause global warming worse. Increasing the rate of genetic gain through artificial selection, also known as plant breeding, is a sustainable approach. Phenotyping, a process of measuring plant characteristics (traits), is unavoidable in plant breeding regardless of which methods (molecular or conventional) being used. Traditional phenotyping of a complex trait has been a bottleneck due to its labor-intensive and time-consuming nature. In recent years, there has been a massive scientific investigation on utilizing an unmanned aerial system (UAS) for agricultural application, as well as high throughput phenotyping (HTP) platform. Although there have been existing literature reviews on UAS-based HTP, a review discussing the pipeline of implementing this tool and in what situations or applications plant breeders could utilize it as a tool is still limited. Consequently, this paper overviews (1) a potential bottleneck in plant breeding pipeline, (2) necessary equipment and regular pipeline for implementing UAS-based HTP, (3) various plant phenotyping tasks that could be accomplished by using UAS-based HTP, including a trait-direct measurement, predictive breeding, application of UAS-based HTP as a marker and, identification of quantitative trait loci (QTLs), (4) contributions of UAS-based HTP on improving the rate of genetic gain, and (5) an outline of the future direction of plant breeding in the high throughput era alongside with artificial intelligence. This comprehensive review would be beneficial to plant breeders, especially those who are considering adopting this technology to their programs.
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