Pereyra-Irujo Gustavo A, Gasco Emmanuel D, Peirone Laura S, Aguirrez Bal Luis A N
Laboratorio de Fisiología Vegetal, Unidad Integrada Balcarce, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata - Instituto Nacional de Tecnología Agropecuaria, Ruta 226 Km 73, 7620 Balcarce, Argentina.
Funct Plant Biol. 2012 Nov;39(11):905-913. doi: 10.1071/FP12052.
Breeding drought-tolerant crop varieties with higher water use efficiency could help maintain food supply to a growing population and save valuable water resources. Fast and accurate phenotyping is currently a bottleneck in the process towards attaining this goal, as available plant phenotyping platforms have an excessive cost for many research institutes or breeding companies. Here we describe a simple and low-cost, automatic platform for high-throughput measurement of plant water use and growth and present its utilisation to assess the drought tolerance of two soybean genotypes. The platform allows the evaluation of up to 120 plants growing in individual pots. A cart moving in only one direction carries the measuring and watering devices. Watering and measurement routines allow the simulation of multiple water regimes for each plant individually and indicate the timing of measurement of soil water content and image capture for growth estimation. Water use, growth and water use efficiency were measured in two experiments with different water scenarios. Differences in water use efficiency between genotypes were detected only in some treatments, emphasising the importance of phenotyping platforms to evaluate a genotype's phenotype under a broad range of conditions in order to capture valuable differences, minimising the chance of artefacts and increasing precision of measurements.
培育具有更高水分利用效率的耐旱作物品种有助于为不断增长的人口维持粮食供应，并节约宝贵的水资源。快速准确的表型分析目前是实现这一目标过程中的一个瓶颈，因为现有的植物表型分析平台对许多研究机构或育种公司来说成本过高。在此，我们描述了一个简单且低成本的自动平台，用于高通量测量植物水分利用和生长情况，并展示了其用于评估两种大豆基因型耐旱性的应用。该平台可对种植在单个花盆中的多达120株植物进行评估。一个仅沿一个方向移动的小车携带测量和浇水设备。浇水和测量程序允许分别为每株植物模拟多种水分状况，并指明测量土壤含水量和拍摄用于生长估计的图像的时间。在两个不同水分情景的实验中测量了水分利用、生长和水分利用效率。仅在某些处理中检测到基因型之间水分利用效率的差异，这强调了表型分析平台在广泛条件下评估基因型表型的重要性，以便捕捉有价值的差异，将人为因素的影响降至最低并提高测量精度。
