生物
特质
标准化
选择(遗传算法)
物候学
生物技术
计算生物学
计算机科学
基因组学
人工智能
遗传学
基因
操作系统
基因组
程序设计语言
作者
Dawei Sun,Kelly R. Robbins,Nicolás Morales,Qingyao Shu,Haiyan Cen
标识
DOI:10.1016/j.tplants.2021.07.015
摘要
Optical sensors and sensing-based phenotyping techniques have become mainstream approaches in high-throughput phenotyping for improving trait selection and genetic gains in crops. We review recent progress and contemporary applications of optical sensing-based phenotyping (OSP) techniques in cereal crops and highlight optical sensing principles for spectral response and sensor specifications. Further, we group phenotypic traits determined by OSP into four categories – morphological, biochemical, physiological, and performance traits – and illustrate appropriate sensors for each extraction. In addition to the current status, we discuss the challenges of OSP and provide possible solutions. We propose that optical sensing-based traits need to be explored further, and that standardization of the language of phenotyping and worldwide collaboration between phenotyping researchers and other fields need to be established.
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