Geomatics division, Centre Tecnològic de Telecomunicacions de Catalunya, Castelldefels, Barcelona, Spain.
Departament d'Enginyeria Agroalimentària i Biotecnologia, Universitat Politècnica de Catalunya, Castelldefels, Barcelona, Spain.
PLoS One. 2019 Feb 15;14(2):e0211889. doi: 10.1371/journal.pone.0211889. eCollection 2019.
Wheat Grain Yield (GY) and quality are particularly susceptible to nitrogen (N) fertilizer management. However, in rain-fed Mediterranean environments, crop N requirements might be variable due to the effects of water availability on crop growth. Therefore, in-season crop N status assessment is needed in order to apply N fertilizer in a cost-effective way while reducing environmental impacts. Remote sensing techniques might be useful at assessing in-season crop N status. In this study, we evaluated the capacity of vegetation indices formulated using blue (B), green (G), red (R) and near-infrared (NIR) bands obtained with a consumer-grade camera to assess wheat N status. Chlorophyll Content Index (CCI) and fractional intercepted PAR (fIPAR) were measured at three phenological stages and GY and biomass were determined at harvest. Indices formulated using RG bands and the normalized difference vegetation index (NDVI) were significantly correlated with both CCI and fIPAR at the different phenological stage (0.71 < r < 0.81, P < 0.01). Moreover, indices formulated using RG bands were capable at differentiating unfertilized and fertilized plots. In addition, RGB indices and NDVI were found to be related to both crop biomass and GY at harvest, particularly when data were obtained at initial grain filling stage (r > 0.80, P < 0.01). Finally, RGB indices and NDVI obtained with a consumer-grade camera showed comparable capacity at assessing chlorophyll content and predicting both crop biomass and GY at harvest than those obtained with a spectroradiometer. This study highlights the potential of standard and modified consumer-grade cameras at assessing canopy traits related to crop N status and GY in wheat under Mediterranean conditions.
小麦籽粒产量(GY)和品质对氮肥管理特别敏感。然而,在雨养的地中海环境中,由于水分对作物生长的影响,作物的氮需求可能会有所不同。因此,需要在季节内评估作物氮状况,以便以具有成本效益的方式施用氮肥,同时减少环境影响。遥感技术可能有助于评估季节内作物氮状况。在这项研究中,我们评估了使用消费级相机获取的蓝(B)、绿(G)、红(R)和近红外(NIR)波段构建的植被指数评估小麦氮状况的能力。在三个物候阶段测量叶绿素含量指数(CCI)和部分 interceptedPAR(fIPAR),并在收获时测量 GY 和生物量。使用 RG 波段和归一化差异植被指数(NDVI)构建的指数与不同物候阶段的 CCI 和 fIPAR 呈显著相关(0.71<r<0.81,P<0.01)。此外,使用 RG 波段构建的指数能够区分未施肥和施肥的地块。此外,RGB 指数和 NDVI 与收获时的作物生物量和 GY 相关,特别是在初始灌浆阶段获取数据时(r>0.80,P<0.01)。最后,使用消费级相机获得的 RGB 指数和 NDVI 在评估叶绿素含量以及预测收获时的作物生物量和 GY 方面与使用分光辐射计获得的指数具有相当的能力。本研究强调了标准和改良的消费级相机在评估地中海条件下小麦与作物氮状况和 GY 相关的冠层特征方面的潜力。