Spectral parameter-based models for leaf potassium concentration estimation in Ping’ou hybrid hazelnut
| Autor: | Cunde Pan, Shanchao Zhao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Linear function (calculus)
010504 meteorology & atmospheric sciences Phenology Field experiment Potassium Red edge chemistry.chemical_element 04 agricultural and veterinary sciences Management Monitoring Policy and Law engineering.material 01 natural sciences Horticulture chemistry 040103 agronomy & agriculture engineering 0401 agriculture forestry and fisheries Fertilizer Correlation test Power function 0105 earth and related environmental sciences Earth-Surface Processes Water Science and Technology Mathematics |
| Zdroj: | Journal of Arid Land. 12:1083-1092 |
| ISSN: | 2194-7783 1674-6767 |
| DOI: | 10.1007/s40333-020-0081-y |
| Popis: | Ping’ou hybrid hazelnut is produced by cross cultivation and is widely cultivated in northern China with good development prospects. Based on a field experiment of fertilizer efficiency, the leaf spectral reflectance and leaf potassium (K) concentration were measured with different quantities of K fertilizer applied at four fruit growth stages (fruit setting stage, fruit rapid growth stage, fruit fat-change stage, and fruit near-maturity stage) of Ping’ou hybrid hazelnut in 2019. Spectral parameters that were significantly correlated with leaf K concentration were selected using Pearson correlation analysis, and spectral parameter estimation models of leaf K concentration were established by employing six different modelling methods (exponential function, power function, logarithmic function, linear function, quadratic function, and cubic function). The results indicated that at the fruit setting period, leaf K concentration was significantly correlated with Dy (spectra slope of yellow edge), Rg (reflectance of the green peak position), λo (red valley position), SDb (blue edge area), SDr/SDb (where SDr represents red edge area), and (SDr−SDb)/(SDr+SDb) (P |
| Databáze: | OpenAIRE |
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