Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants
Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants
复制标题
DOI：
10.1101/573139
复制
发表时间：
2019-03
期刊：
影响因子：
--
通讯作者：
Thibaut Bontpart;Cristobal Concha;Valerio Giuffrida;I. Robertson;Kassahun Admkie Tekle;T. Degefu;N. G
中科院分区：
文献类型：
--
作者：
Thibaut Bontpart;Cristobal Concha;Valerio Giuffrida;I. Robertson;Kassahun Admkie Tekle;T. Degefu;N. G
根系生长的分析，根表型，是重要的通知努力，以提高植物资源的收购土壤。然而，由于土壤不透明，根系表型分析仍然具有挑战性，需要优化根系可见性和图像采集的系统。以前报告的系统需要昂贵的定制材料，而大多数国家都没有，育种者需要工具来选择最适合当地土壤和田间条件的品种。在这里，我们提出了一个负担得起的土壤为基础的生长容器（根盒）和成像系统表型根在温室或庇护所的发展。该系统的所有组件都是由商品组件制成的，在世界各地都有，以促进低收入国家采用这种负担得起的技术。根箱足够大（约6000 cm2可见土壤），播种后至少7周内不会限制垂直根系生长，但足够轻（约21 kg），可以手动常规移动。支撑结构和一个成像站，五个摄像机覆盖整个土壤表面，补充了根盒。通过Phenotiki传感器接口获取图像，收集，拼接和分析。根系结构（RSA）参数的量化没有干预。双子叶植物鹰嘴豆（Cicer arietinum L.）和单子叶植物（大麦，大麦L.）物种，表现出截然不同的根系，进行了分析。负担得起的系统与埃塞俄比亚和其他地方提高鹰嘴豆和其他作物产量和气候适应力以改善粮食安全的努力有关。一个负担得起的系统来表征土壤生长的植物的根系结构的发展。使用商品成分，这将使世界各地的地方努力，以培育加强根系。
The analysis of root system growth, root phenotyping, is important to inform efforts to enhance plant resource acquisition from soils. However, root phenotyping remains challenging due to soil opacity and requires systems that optimize root visibility and image acquisition. Previously reported systems require costly and bespoke materials not available in most countries, where breeders need tools to select varieties best adapted to local soils and field conditions. Here, we present an affordable soil-based growth container (rhizobox) and imaging system to phenotype root development in greenhouses or shelters. All components of the system are made from commodity components, locally available worldwide to facilitate the adoption of this affordable technology in low-income countries. The rhizobox is large enough (~6000 cm2 visible soil) to not restrict vertical root system growth for at least seven weeks after sowing, yet light enough (~21 kg) to be routinely moved manually. Support structures and an imaging station, with five cameras covering the whole soil surface, complement the rhizoboxes. Images are acquired via the Phenotiki sensor interface, collected, stitched and analysed. Root system architecture (RSA) parameters are quantified without intervention. RSA of a dicot (chickpea, Cicer arietinum L.) and a monocot (barley, Hordeum vulgare L.) species, which exhibit contrasting root systems, were analysed. The affordable system is relevant for efforts in Ethiopia and elsewhere to enhance yields and climate resilience of chickpea and other crops for improved food security. Significance Statement An affordable system to characterize root system architecture of soil-grown plants was developed. Using commodity components, this will enable local efforts world-wide to breed for enhanced root systems.