Incorporating the Plant Disease Triangle Framework for Analyzing the Effect of FWB Incidence on Soil Attributes

Marinah Muhammad, Muhammad Akmal Mohd Zawawi, Noor Janatun Naim Jemali
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Abstract

FWB (FWB), also known as Panama disease and caused by Fusarium oxysporum f. sp. cubense (Foc), is the most destructive disease in the banana industry. Foc is the most virulent pathogen and is capable of surviving in agricultural soil for an indefinite period. The complex interaction between Foc, bananas, and the environment has restricted efforts to develop FWB prevention and control. Thus, it is essential to investigate all dimensions of the interactions relating to the occurrence of FWB in plantations. The purpose of this preliminary study was to assess the reversed interaction of soil attributes and FWB. The relationships between Fusarium wilt disease incidence and soil characteristics were analyzed using a forward linear regression analysis with dummy variables. Age, as well as shrubs and weeds, were incorporated as dummy variables. The first model of forward linear regression with soil moisture as the dependent variable significantly revealed that R2 is larger and more strongly correlated when plant conditions and banana tree age variables are included in the model (p = 0.0). Still, a comprehensive experimental approach is required for better understanding since an increasing human population in the future may pose a threat to food security.
应用植物病害三角框架分析FWB发病率对土壤属性的影响
香蕉枯萎病(FWB),又称巴拿马病,由古巴镰刀菌(Fusarium oxysporum f. sp. cubense, Foc)引起,是香蕉行业最具破坏性的疾病。Foc是毒性最强的病原体,能够在农业土壤中无限期存活。Foc、香蕉和环境之间复杂的相互作用限制了发展FWB预防和控制的努力。因此,有必要对人工林中与FWB发生有关的相互作用的所有方面进行调查。本初步研究的目的是评估土壤属性与FWB的反向相互作用。采用带虚拟变量的正向线性回归分析了枯萎病发病率与土壤特征之间的关系。年龄,以及灌木和杂草,被纳入虚拟变量。第一个以土壤湿度为因变量的正线性回归模型显著显示,当纳入植物条件和香蕉树龄变量时,R2更大,相关性更强(p = 0.0)。尽管如此,由于未来不断增长的人口可能对粮食安全构成威胁,因此需要一种全面的实验方法来更好地了解。
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