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Remote Sensing of Biomass and Yield of Winter Wheat under Different Nitrogen Supplies

机译:不同氮素供应条件下冬小麦生物量和产量的遥感

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摘要

Vegetation indices derived from reflectance data are related to canopy variables such as aboveground biomass, leaf area index (LAI), and the fraction of intercepted photosynthetically active radiation (fIPAR). However, under N stress the relationships between vegetation indices (VI) and these canopy variables might be confounded due to plant chlorosis. We studied the relationships between reflectance-based VI and canopy variables (aboveground biomass, LAI canopy chlorophyll A content [LAI ?— Chl A], and fIPAR) for a wheat (Triticum aestivum L.) crop growing under different N supplies. Nitrogen fertilization promoted significant increases in radiation interception (plant growth) and, to a lesser extent, in radiation use efficiency (RUE). The VI vs. LAI relationships varied significantly among treatments, rendering the VI-based equations unreliable to estimate LAI under contrasting N conditions. However, a single relationship emerged when LAI ?— Chl A was considered. Moreover, VI were robust indicators of fIPAR by green canopy components independently of N treatment and phenology. Aboveground biomass was poorly correlated with grain yield, whereas cumulative VI simple ratio (SR) was a good predictor of grain yield, probably because cumulative SR closely tracked the duration and intensity of the canopy photosynthetic capacity.
机译:从反射率数据得出的植被指数与冠层变量有关,例如地上生物量,叶面积指数(LAI)和截获的光合作用活性辐射的比例(fIPAR)。然而,在N胁迫下,植物的绿化作用可能会混淆植被指数(VI)与这些冠层变量之间的关系。我们研究了在不同氮素供应下生长的小麦(Triticum aestivum L.)作物基于反射率的VI与冠层变量(地上生物量,LAI冠层叶绿素A含量[LAI-Chl A]和fIPAR)之间的关系。施氮促进了辐射截获(植物生长)的显着增加,并在较小程度上促进了辐射利用效率(RUE)。在处理之间,VI与LAI的关系差异很大,这使得基于VI的方程式在N个对比条件下无法可靠地估计LAI。但是,当考虑LAI-Chla时,出现了一个单一的关系。此外,VI是绿色冠层成分对fIPAR的有力指标,与N处理和物候无关。地上生物量与籽粒产量之间的相关性很差,而累积VI简单比率(SR)可以很好地预测籽粒产量,这可能是因为累积SR紧密跟踪了冠层光合能力的持续时间和强度。

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