Spectral Discrimination of Salinity and Fertilizer Stress in Wheat (Triticum Sativa L.) using Photosynthesis Parameters and Hpyerspectral Data

Abstract:

Multidisciplinary research has long sought the ability to estimate the parameters of plant functions such as photosynthetic capacity under stress conditions from remotely sensed data. Yet, the main goal has not been fully elucidated. In this study, we investigated the effects of saline water irrigation and the rate of fertilizer application on the photosynthetic response of wheat in a greenhouse based experiment. After two weeks of germination, the plants were subjected to irrigation with sea water blended with high quality reverse osmosis (RO) water. Three levels of water salinity having electrical conductivities (EC) of 0.3, 7.0, 14.0 dSm^-1 were obtained by mixing sea water with RO water and plants were irrigated to approximately 70% of field capacity without excess drainage. Three levels of NPK fertilizer at the rate of null, half and full recommended doses were also employed in the experiment. The two key determinants of photosynthetic capacity, the maximum rates of RuBP carboxylation (Vcmax) and the maximum rate of photosynthetic electron transport based on NADPH requirement (Jmax), were obtained through standard gas exchange technique.CO₂ response curves of net CO₂ assimilation (A_n) against variable CO₂ concentrations in the intracellular spaces (C_i) at constant environmental conditions were drawn and a Sharkey model was fit to the obtained data. Hyperspectral reflectance (λ = 350-2500 nm) of fresh leaves were obtained and the hyperspectral characteristics and their correlations with the photosynthetic parameters were drawn. Unique contributions from different spectral regions of the hyperspectral data were analyzed. Our results revealed that saline irrigation adversely affects some of the biochemical photosynthetic parameters while favors others and it can be reflected in shifts in patterns at various regions of the hyperspectral data. These results suggest a promising strategy for developing remote sensing methods to characterize photosynthetic activity of stress plants on regional scale. However, further investigations are needed to ascertain the interpretation of hyperspectral data to estimate the photosynthetic capacity of plants grown under stress environment.