Department of Mechanical Engineering, University of Idaho, 875 Perimeter Drive, MS 0902, Moscow, ID, 83844-0902, USA.
Sci Rep. 2023 Jul 27;13(1):12178. doi: 10.1038/s41598-023-38767-6.
Stalk lodging destroys between 5 and 25% of grain crops annually. Developing crop varieties with improved lodging resistance will reduce the yield gap. Field-phenotyping equipment is critical to develop lodging resistant crop varieties, but current equipment is hindered by measurement error. Relatively little research has been done to identify and rectify sources of measurement error in biomechanical phenotyping platforms. This study specifically investigated sources of error in bending stiffness and bending strength measurements of maize stalks acquired using an in-field phenotyping platform known as the DARLING. Three specific sources of error in bending stiffness and bending strength measurements were evaluated: horizontal device placement, vertical device placement and incorrect recordings of load cell height. Incorrect load cell heights introduced errors as large as 130% in bending stiffness and 50% in bending strength. Results indicated that errors on the order of 15-25% in bending stiffness and 1-10% in bending strength are common in field-based measurements. Improving the design of phenotyping devices and associated operating procedures can mitigate this error. Reducing measurement error in field-phenotyping equipment is crucial for advancing the development of improved, lodging-resistant crop varieties. Findings have important implications for reducing the yield gap.
茎秆倒伏每年会导致 5%至 25%的粮食作物减产。培育抗倒伏能力更强的作物品种将缩小产量差距。田间表型设备对于培育抗倒伏作物品种至关重要，但目前的设备受到测量误差的限制。相对而言，针对生物力学表型平台中测量误差的来源进行识别和纠正的研究还很少。本研究专门调查了使用称为 DARLING 的田间表型平台获取的玉米茎秆弯曲刚度和弯曲强度测量中的三个特定误差源：水平设备放置、垂直设备放置和不正确的测力传感器高度记录。不正确的测力传感器高度会导致弯曲刚度测量误差高达 130%，弯曲强度测量误差高达 50%。结果表明，田间测量中弯曲刚度的误差通常在 15-25%之间，弯曲强度的误差在 1-10%之间。改进表型设备的设计和相关操作程序可以减轻这种误差。减少田间表型设备中的测量误差对于提高抗倒伏作物品种的开发至关重要。这些发现对于减少产量差距具有重要意义。
