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重金屬鎘對水稻幼苗生長及反射光譜之影響

The effect of nitrogen and heavy metals on reflectance spectra of rice seedlings

摘要


隨著人類活動日益頻繁,土壤中重金屬快速累積,加上重金屬具有不可分解性,使土壤重金屬污染日趨嚴重。由於影響土壤中重金屬有效性之因子及重金屬污染來源眾多,並非土壤重金屬濃度未達管制標準該農地所生產之農作物重金屬含量即符合標準,因此本研究希望能建立即時且非破壞性之監測方式以預估土壤有效鎘污染物濃度與植體累積鎘含量。本研究以水稻(Oryza sativa L.)幼苗(台南11號TN11及台稉14號TK14)為材料,以鎘金屬(0、50、100及200 μM)、進行水耕栽培試驗,模擬在土壤溶液中有效性重金屬對水稻幼苗造成之影響,並測定葉片反射光譜,以反射率計算植生指數(vegetation index),計算植生指數與鎘處理濃度及植生指數與地上部鎘含量之預測模型。結果顯示受鎘逆境之植株普遍地上部生長受抑制且在葉片反射光譜上,受鎘逆境植株在紅光及綠光反射率普遍增加。此外,675 nm以上之波段中,受鎘處理之植株反射光譜一次微分波峰波峰往短波長方向位移,產生紅光臨界之藍移(blue shift of red edge),可做為植株是否受逆境之參考。以常用波段或敏感波段計算之植生指數分別與植體鎘濃度或鎘處理濃度間建構線性及多項式模型,其中又以多項式模型較佳且具顯著相關性。因此利用反射光譜計算植生指數,非破壞性預估土壤有效性鎘污染濃度與植體累積鎘含量,可能為有效可行之方法。

關鍵字

反射光譜 水稻幼苗 植生指數

並列摘要


Heavy metal Contamination of soils has been a widespread occurrence since anthropogenic activities began. Because heavy metals are non-degradable, their concentrations in soils significantly go beyond regulatory standards. Due to many factors affecting heavy metal availability in the soil, and many sources of heavy metal pollution, heavy metal content in crop may be excessive even though heavy metal concentration in soils meets the regulatory standard. Thus, we would like to create indices using reflectance spectra to perform non-destructive estimation of bioavailable heavy metal concentrations in soils and accumulation concentration in shoots. In this research, hydroponic rice (Oryza sativa L. cv. Tainan 11 and Taiken 14) seedlings were treated with treatment of three cadmium concentrations (0,100, and 200 μM) to simulate the effects of cadmium in soil solution on rice seedlings in the field. The reflectance spectra of leaves were recorded and used to calculate vegetation indices to observe the relation between vegetation index and the cadmium treatment concentration or the relation between vegetation index and cadmium concentration in shoots. The result indicated that cadmium stress inhibited shoot length of rice seedlings. In high cadmium concentration, the reflectivity in green light and red light increased and blue shift of red edge happened at the same time. The linear model and quadratic model were constructed from the relation between cadmium concentration of shoots and vegetation index or the relation between cadmium treatment concentration and vegetation index. The result showed that quadratic model has more significant correlation in both sets of variables. Therefore, it appears possible to create indices using reflectance spectra for non-destructive estimation of bioavailable cadmium concentration in soils and accumulation concentration in shoots.

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