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Spectral assessments of phenotypic differences in spike development during grain filling affected by varying N supply in wheat
Authors:Klaus Erdle  Bodo Mistele  Urs Schmidhalter
Institution:1. Department of Plant Sciences, Chair of Plant Nutrition, Technische Universit?t München, Emil‐Ramann‐Str. 2, 85350 2. Freising‐Weihenstephan, Germany;3. present address: DLG, German Agricultural Society, Competence Centre Agriculture and Food Business, Eschborner Landstra?e 122, 60489 Frankfurt am Main, Germany
Abstract:Single plant traits such as green biomass, spike dry weight, biomass, and nitrogen (N) transfer to grains are important traits for final grain yield. However, methods to assess these traits are laborious and expensive. Spectral reflectance measurements allow researchers to assess cultivar differences of yield‐related plant traits and translocation parameters that are affected by varying amounts of available N. In a field experiment, six high‐yielding wheat cultivars were grown with N supplies of 0, 100, 160, and 220 kg N ha–1. Wheat canopies were observed spectrally throughout the grain‐filling period, and three spectral parameters were calculated. To describe the development of the vegetative plant parts (leaves + culms) and the spikes, plants were sampled four times during grain filling. Dry weights and the relative dry‐matter content were recorded for leaves + culms and spikes. The N status of the plants was assessed by measuring the total N concentration and by calculating the aboveground N uptake. Good correlations were found between spectral indices and single plant traits throughout grain filling but varied with N supply and development stage. The normalized difference vegetation index, NDVI, was strongly affected by the saturation effects of increased N concentration. The red‐edge inflection point, REIP, predicted plant traits with r2 values up to 0.98. However, in plants with advanced senescence, the REIP was less efficient in describing plant traits. The NIR‐based index R760/R730 was closely related to yield‐related plant traits at early grain filling. Compared to the REIP, the R760/R730 index was resistant to strong chlorophyll decays being able to predict plant traits at late grain filling, with r2 values of up to 0.92. Spectral reflectance measurements may represent a promising tool to assess phenotypic differences in yield‐related plant traits during grain filling.
Keywords:nitrogen translocation  nitrogen uptake  phenotyping/ remote sensing  source–  sink relations
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