Herr Andrew W, Carter Arron H
Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Front Plant Sci. 2023 Sep 18;14:1233892. doi: 10.3389/fpls.2023.1233892. eCollection 2023.
In an era of climate change and increased environmental variability, breeders are looking for tools to maintain and increase genetic gain and overall efficiency. In recent years the field of high throughput phenotyping (HTP) has received increased attention as an option to meet this need. There are many platform options in HTP, but ground-based handheld and remote aerial systems are two popular options. While many HTP setups have similar specifications, it is not always clear if data from different systems can be treated interchangeably. In this research, we evaluated two handheld radiometer platforms, Cropscan MSR16R and Spectra Vista Corp (SVC) HR-1024i, as well as a UAS-based system with a Sentera Quad Multispectral Sensor. Each handheld radiometer was used for two years simultaneously with the unoccupied aircraft systems (UAS) in collecting winter wheat breeding trials between 2018-2021. Spectral reflectance indices (SRI) were calculated for each system. SRI heritability and correlation were analyzed in evaluating the platform and SRI usability for breeding applications. Correlations of SRIs were low against UAS SRI and grain yield while using the Cropscan system in 2018 and 2019. Dissimilarly, the SVC system in 2020 and 2021 produced moderate correlations across UAS SRI and grain yield. UAS SRI were consistently more heritable, with broad-sense heritability ranging from 0.58 to 0.80. Data standardization and collection windows are important to consider in ensuring reliable data. Furthermore, practical aspects and best practices for these HTP platforms, relative to applied breeding applications, are highlighted and discussed. The findings of this study can be a framework to build upon when considering the implementation of HTP technology in an applied breeding program.
在气候变化和环境变异性增加的时代,育种者正在寻找工具来维持和提高遗传增益及整体效率。近年来,高通量表型分析(HTP)领域作为满足这一需求的一种选择受到了更多关注。HTP有许多平台选项,但地面手持和遥控航空系统是两种常见的选择。虽然许多HTP设置具有相似的规格,但不同系统的数据是否可以互换处理并不总是很清楚。在本研究中,我们评估了两个手持辐射计平台,即Cropscan MSR16R和Spectra Vista公司(SVC)的HR - 1024i,以及一个配备Sentera Quad多光谱传感器的基于无人机的系统。在2018 - 2021年期间收集冬小麦育种试验数据时,每个手持辐射计与无人机系统同时使用了两年。计算了每个系统的光谱反射指数(SRI)。在评估平台和SRI在育种应用中的可用性时,分析了SRI的遗传力和相关性。在2018年和2019年使用Cropscan系统时,SRI与无人机SRI和籽粒产量的相关性较低。不同的是,2020年和2021年的SVC系统在无人机SRI和籽粒产量之间产生了中等程度的相关性。无人机SRI一直具有更高的遗传力,广义遗传力范围为0.58至0.80。在确保数据可靠方面,数据标准化和采集窗口是需要考虑的重要因素。此外,还强调并讨论了这些HTP平台相对于应用育种应用的实际方面和最佳实践。本研究的结果可以作为在应用育种计划中考虑实施HTP技术时的一个基础框架。