Nguyen Giao N, Kant Surya
Agriculture Victoria, Grains Innovation Park, 110 Natimuk Road, Horsham, Vic. 3400, Australia.
Funct Plant Biol. 2018 May;45(6):606-619. doi: 10.1071/FP17266.
For global sustainable food production and environmental benefits, there is an urgent need to improve N use efficiency (NUE) in crop plants. Excessive and inefficient use of N fertiliser results in increased crop production costs and environmental pollution. Therefore, cost-effective strategies such as proper management of the timing and quantity of N fertiliser application, and breeding for better varieties are needed to improve NUE in crops. However, for these efforts to be feasible, high-throughput and reliable phenotyping techniques would be very useful for monitoring N status in planta, as well as to facilitate faster decisions during breeding and selection processes. This review provides an insight into contemporary approaches to phenotyping NUE-related traits and associated challenges. We discuss recent and advanced, sensor- and image-based phenotyping techniques that use a variety of equipment, tools and platforms. The review also elaborates on how high-throughput phenotyping will accelerate efforts for screening large populations of diverse genotypes in controlled environment and field conditions to identify novel genotypes with improved NUE.
为实现全球可持续粮食生产并带来环境效益,迫切需要提高作物的氮素利用效率(NUE)。氮肥的过量和低效使用导致作物生产成本增加以及环境污染。因此,需要采取如合理管理氮肥施用时间和用量等具有成本效益的策略,以及培育优良品种来提高作物的氮素利用效率。然而,要使这些努力可行,高通量且可靠的表型分析技术对于监测植物体内的氮素状况非常有用,同时也有助于在育种和选择过程中更快地做出决策。本综述深入探讨了用于表型分析与氮素利用效率相关性状的当代方法及相关挑战。我们讨论了近期先进的基于传感器和图像的表型分析技术,这些技术使用了各种设备、工具和平台。该综述还阐述了高通量表型分析将如何加速在可控环境和田间条件下对大量不同基因型进行筛选的工作,以识别具有更高氮素利用效率的新基因型。