A SHORT REPORT ON APPLICATION OF ACOUSTIC TOMOGRAPHY FOR BASAL STEM ROT DISEASE SEVERITY ASSESSMENT IN OIL PALM

The Planter Pub Date : 2021-07-25 DOI:10.56333/tp.2021.011
Marcella Lennie Michael, Yan Cheong Sung, J. Janaun, K. Chong, J. Dayou
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Abstract

Basal stem rot (BSR) disease caused by Ganoderma boninense remains as one of the most devastating diseases of the oil palm industry especially in South East Asia. Currently there is no remedy mainly due to inability to detect BSR disease at the early stage. Therefore, early diagnostic method is vital to detect the BSR disease effectively. This study examined the potential application of acoustic tomography method to observe the internal parts of the oil palm consisting of different levels of BSR disease severity: i) healthy, ii) moderate and iii) severe. Ten oil palm trees were selected for each level of BSR disease. The tomography data of the cross-section of the oil palm trunk was measured at one meter from the stem base for each palm using acoustic measurement system known as TomoSawit. The palm was then cut down at the tomography measurement height and compared with the acquired tomography image. The results showed that the method can provide tomography images of different BSR disease severity conditions. Detailed examination of the tomography results revealed the differences in acoustic wave speed while travelling across different densities of the cross-section of the palms that contribute to the differences in tomography image characteristics. The difference in the density could be associated with the severity of the BSR disease. All the generated tomography images have shown to be similar with the actual cross-section samples of the palm. In this study, the severely infected sample shows that an estimate of 33.3 per cent and 54.7 per cent of the cross-section was already degraded, respectively. The confirmation of BSR disease was conducted using ergosterol and Ganoderma Selective Medium (GSM) assessment. It can be concluded that the acoustic tomography could be a potential solution for early detection of BSR infection in oil palm especially for field application. Keywords: Acoustic tomography, basal stem rot, early detection, oil palm, Ganoderma boninense.
声学层析技术在油棕基茎腐病严重程度评价中的应用综述
由boninense灵芝(Ganoderma boninense)引起的基底茎腐病(BSR)仍然是油棕工业最具破坏性的疾病之一,特别是在东南亚。目前没有补救措施,主要是由于无法在早期发现BSR疾病。因此,早期诊断对于有效发现BSR疾病至关重要。本研究探讨了声学断层成像方法在观察油棕内部由不同程度的BSR疾病严重程度组成的潜在应用:i)健康,ii)中度和iii)严重。每10棵油棕树代表BSR病的不同程度。使用名为TomoSawit的声学测量系统,在距每个棕榈茎基部1米处测量油棕树干横截面的层析成像数据。然后在层析测量高度处对手掌进行切割,并与获得的层析图像进行比较。结果表明,该方法可以提供不同BSR疾病严重程度条件下的断层图像。对断层扫描结果的详细检查揭示了声波在穿过不同密度的手掌横截面时的速度差异,这导致了断层扫描图像特征的差异。密度的差异可能与BSR疾病的严重程度有关。所有生成的断层扫描图像都与手掌的实际横截面样本相似。在这项研究中,受严重感染的样本显示,估计分别有33.3%和54.7%的横截面已经退化。采用麦角甾醇和灵芝选择性培养基(GSM)评估确定BSR疾病。综上所述,声波层析成像技术在油棕BSR感染的早期检测中具有潜在的应用前景。关键词:声层析成像,基茎腐病,早期发现,油棕,灵芝
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