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Influence of fungal infection on plant tissues: FTIR detects compositional changes to plant cell walls
摘要： Compositional change in plant cell walls as a result of infection by non-host (putative) endophytes and a host pathogen were studied by quantifying plant cell wall degrading enzymes (CWDEs) produced by these fungi, and by detecting cell wall changes via Fourier Transform Infrared spectroscopy (FTIR) and relative lignin/carbohydrate intensity ratios. Oil palm ramets were first inoculated with homogenized fungal suspension. The treated fungal suspensions were assayed for CWDEs whereas the ramets were powderized for FTIR analysis. Results revealed that putative endophytes and host pathogen expressed all CWDEs, suggesting their probable roles in infection and colonization. Following inoculation, plant cell wall composition showed missing dips in spectra depicting changes to carbohydrate, xylan and lignin constituents. The indistinguishable FTIR spectra for putative endophyte-inoculated and pathogen-inoculated ramets suggest that both endophytes and pathogen have elicited similar responses to plant cell walls. Relative lignin/carbohydrate ratios further demonstrated that the putative endophytes did not breakdown lignin and carbohydrate, further exemplifying the non-pathogenic and asymptomatic infection by the endophytes. This study presents the influence of putative endophytes on plant tissues of oil palm, and how this compared to pathogenic infection.
关键词： FTIR,Endophytes,Detection,Colonization,Ganoderma boninense,Cell wall
更新于2025-09-23 15:21:21
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Analysis of Changes in Oil Palm Canopy Architecture From Basal Stem Rot Using Terrestrial Laser Scanner
摘要： Basal stem rot (BSR), caused by the Ganoderma fungus, is an infectious disease that affects oil palm (Elaeis guineensis) plantations. BSR leads to a significant economic loss and reductions in yields of up to Malaysian Ringgit (RM) 1.5 billion (US$400 million) yearly. By 2020, the disease may affect ~1.7 million tonnes of fresh fruit bunches. The plants appear symptomless in the early stages of infection, although most plants die after they are infected. Thus, early, accurate, and nondestructive disease detection is crucial to control the impact of the disease on yields. Terrestrial laser scanning (TLS) is an active remote-sensing, noncontact, cost-effective, precise, and user-friendly method. Through high-resolution scanning of a tree’s dimension and morphology, TLS offers an accurate indicator for health and development. This study proposes an efficient image processing technique using point clouds obtained from TLS ground input data. A total of 40 samples (10 samples for each severity level) of oil palm trees were collected from 9-year-old trees using a ground-based laser scanner. Each tree was scanned four times at a distance of 1.5 m. The recorded laser scans were synched and merged to create a cluster of point clouds. An overhead two-dimensional image of the oil palm tree canopy was used to analyze three canopy architectures in terms of the number of pixels inside the crown (crown pixel), the degree of angle between fronds (frond angle), and the number of fronds (frond number). The results show that the crown pixel, frond angle, and frond number are significantly related and that the BSR severity levels are highly correlated (R2 = 0.76, P < 0.0001; R2 = 0.96, P < 0.0001; and R2 = 0.97, P < 0.0001, respectively). Analysis of variance followed post hoc tests by Student–Newman–Keuls (Newman–Keuls) and Dunnett for frond number presented the best results and showed that all levels were significantly different at a 5% significance level. Therefore, the earliest stage that a Ganoderma infection could be detected was mildly infected (T1). For frond angle, all post hoc tests showed consistent results, and all levels were significantly separated except for T0 and T1. By using the crown pixel parameter, healthy trees (T0) were separated from unhealthy trees (moderate infection [T2] and severe infection [T3]), although there was still some overlap with T1. Thus, Ganoderma infection could be detected as early as the T2 level by using the crown pixel and the frond angle parameters. It is hard to differentiate between T0 and T1, because during mild infection, the symptoms are highly similar. Meanwhile, T2 and T3 were placed in the same group, because they showed the same trend. This study demonstrates that the TLS is useful for detecting low-level infection as early as T1 (mild severity). TLS proved beneficial in managing oil palm plantation disease.
关键词： Ganoderma,LiDAR,crown,frond,oil palm architecture
更新于2025-09-11 14:15:04