Sirakov Ivaylo, Velichkova Katya, Dinev Toncho, Slavcheva-Sirakova Desislava, Valkova Elica, Yorgov Dimitar, Veleva Petya, Atanasov Vasil, Atanassova Stefka
Department of Animal Husbandry-Non-Ruminants and Other Animals, Faculty of Agriculture, Students Campus, Trakia University, 6000 Stara Zagora, Bulgaria.
Department of Biological Sciences, Faculty of Agriculture, Students Campus, Trakia University, 6000 Stara Zagora, Bulgaria.
Microorganisms. 2023 Sep 20;11(9):2348. doi: 10.3390/microorganisms11092348.
One of the main challenges facing the development of aquaponics is disease control, due on one hand to the fact that plants cannot be treated with chemicals because they can lead to mortality in cultured fish. The aim of this study was to apply the visible-near-infrared spectroscopy and vegetation index approach to test aquaponically cultivated lettuce ( L.) infected with different fungal pathogens (, , and ). The lettuces on the third leaf formation were placed in tanks (with dimensions 1 m/0.50 m/0.35 m) filled up with water from the aquaponics system every second day. In this study, we included reference fungal strains NBIMCC 3252, NBIMCC 125, and NBIMCC 109. Diffuse reflectance spectra of the leaves of lettuce were measured directly on the plants using a USB4000 spectrometer in the 450-1100 nm wavelength range. In near-infrared spectral range, the reflectance values of infected leaves are lower than those of the control, which indicates that some changes in cell structures occurred as a result of the fungal infection. All three investigated pathogens had a statistically significant effect on leaf water content and water band index. Vegetative indices such as Chlorophyll Absorption in Reflectance Index (CARI), Modified chlorophyll absorption in reflectance index (MCARI), Plant Senescence Reflectance Index (PSRI), Red Edge Index (REI2), Red Edge Index (REI3), and Water band index (WBI) were found to be effective in distinguishing infected plants from healthy ones, with WBI demonstrating the greatest reliability.
水培养殖发展面临的主要挑战之一是疾病控制,一方面是因为植物不能用化学药剂处理,因为这可能导致养殖鱼类死亡。本研究的目的是应用可见-近红外光谱和植被指数方法,对感染不同真菌病原体(、和)的水培生菜(L.)进行检测。处于第三片叶子形成阶段的生菜每隔一天被放置在尺寸为1米/0.50米/0.35米的水箱中,水箱中注满来自水培系统的水。在本研究中,我们纳入了参考真菌菌株NBIMCC 3252、NBIMCC 125和NBIMCC 109。使用USB4000光谱仪在450 - 1100纳米波长范围内直接在植株上测量生菜叶片的漫反射光谱。在近红外光谱范围内,感染叶片的反射率值低于对照,这表明真菌感染导致细胞结构发生了一些变化。所有三种被研究的病原体对叶片含水量和水波段指数都有统计学上的显著影响。发现诸如反射率指数中的叶绿素吸收(CARI)、反射率指数中的修正叶绿素吸收(MCARI)、植物衰老反射率指数(PSRI)、红边指数(REI2)、红边指数(REI3)和水波段指数(WBI)等植被指数在区分感染植株和健康植株方面是有效的,其中WBI显示出最大的可靠性。