A FRAMEWORK FOR OPTIMIZING ENVIRONMENTAL COVARIATES TO SUPPORT MODEL INTERPRETABILITY IN DIGITAL SOIL MAPPING

A framework for optimizing environmental covariates to support model interpretability in digital soil mapping

A common practice in digital soil mapping (DSM) is to incorporate many environmental covariates into a machine-learning algorithm to predict the spatial patterns of soil attributes.Variance inflation factor (VIF), principal component analysis (PCA), and recursive feature elimination (RFE) are three statistical methods that can be used to reduce the

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Challenges and Strategies for Breeding Resistance in Capsicum annuum to the Multifarious Pathogen, Phytophthora capsici

Phytophthora capsici is the most devastating pathogen for chile pepper production worldwide and current management strategies are not effective.The population structure of the pathogen is Jumpsuit highly variable and few sources of widely applicable host resistance have been identified.Recent genomic advancements in the host and the pathogen provid

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The larvicidal and non larvicidal histological effect of some aromatic plants on mosquito larvae Culex pipiens molestus) Diptera: Culicidae(

This study included laboratory ovulation of the effect of alcoholic(ethanol) extract of Teucrium polium, Peganum harmala,Thymus vulgaris and Condensor Fan Motor Physalis angulata.It was values LC50 (102.5,101.0,78.0 and 53.0 ppm) and LC90(130.0,128.0,136.0 and 80.0 ppm) for Teucrium polium,Peganum harmala,Thymus vulgaris and Physalis angulata respe

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