Closing the phenotyping gap with non-invasive belowground field phenotyping

IF 5.8 2区 农林科学 Q1 SOIL SCIENCE
Soil Pub Date : 2024-08-05 DOI:10.5194/egusphere-2024-2082
Guillaume Blanchy, Waldo Deroo, Tom De Swaef, Peter Lootens, Paul Quataert, Isabel Roldán-Ruíz, Sarah Garré
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引用次数: 0

Abstract

Abstract. Breeding climate-robust crops is one of the needed pathways for adaptation to the changing climate. To speed up the breeding process, it is important to understand how plants react to extreme weather events such as drought or waterlogging in their production environment, i.e. under field conditions in real soils. Whereas a number of techniques exist for above-ground field phenotyping, simultaneous non-invasive belowground phenotyping remains difficult. In this paper, we present the first dataset of the new HYDRAS open access field phenotyping infrastructure, bringing electrical resistivity tomography, alongside drone imagery and environmental monitoring, to a technology readiness level closer to what breeders and researchers need. This paper investigates whether electrical resistivity tomography (ERT) provides sufficient precision and accuracy to distinguish between belowground plant traits of different genotypes of the same crop species. The proof-of-concept experiment was conducted in 2023 with three distinct soybean genotypes known for their contrasting reactions to drought stress. We illustrate how this new infrastructure addresses the issues of depth resolution, automated data processing, and phenotyping indicator extraction. The work shows that electrical resistivity tomography is ready to complement drone-based field phenotyping techniques to accomplish whole plant high-throughput field phenotyping.
利用非侵入式地下田间表型技术缩小表型差距
摘要培育适应气候变化的作物是适应气候变化的必要途径之一。为了加快育种进程,必须了解植物在生产环境中,即在实际土壤的田间条件下,对干旱或水涝等极端天气事件的反应。虽然有许多技术可用于田间地上表型分析,但同时进行非侵入性地下表型分析仍然十分困难。在本文中,我们介绍了新的 HYDRAS 开放式田间表型基础设施的第一个数据集,它将电阻率层析成像技术与无人机图像和环境监测相结合,使技术就绪程度更接近育种者和研究人员的需求。本文研究了电阻率层析成像(ERT)是否能提供足够的精度和准确性来区分同一作物品种不同基因型的地下植物性状。概念验证实验于 2023 年进行,对象是三种不同的大豆基因型,它们对干旱胁迫的反应截然不同。我们说明了这种新的基础设施如何解决深度分辨率、自动数据处理和表型指标提取等问题。这项工作表明,电阻率层析成像技术已准备好与基于无人机的田间表型技术相辅相成,以完成全植株高通量田间表型。
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来源期刊
Soil
Soil Agricultural and Biological Sciences-Soil Science
CiteScore
10.80
自引率
2.90%
发文量
44
审稿时长
30 weeks
期刊介绍: SOIL is an international scientific journal dedicated to the publication and discussion of high-quality research in the field of soil system sciences. SOIL is at the interface between the atmosphere, lithosphere, hydrosphere, and biosphere. SOIL publishes scientific research that contributes to understanding the soil system and its interaction with humans and the entire Earth system. The scope of the journal includes all topics that fall within the study of soil science as a discipline, with an emphasis on studies that integrate soil science with other sciences (hydrology, agronomy, socio-economics, health sciences, atmospheric sciences, etc.).
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