Associations between environmental covariates and temporal changes in malaria incidence in high transmission settings of Uganda: a distributed lag nonlinear analysis [PDF]
Background Environmental factors such as temperature, rainfall, and vegetation cover play a critical role in malaria transmission. However, quantifying the relationships between environmental factors and measures of disease burden relevant for public ...
Jaffer Okiring +13 more
doaj +2 more sources
Feature engineering of environmental covariates improves plant genomic-enabled prediction [PDF]
IntroductionBecause Genomic selection (GS) is a predictive methodology, it needs to guarantee high-prediction accuracies for practical implementations.
Osval A. Montesinos-López +14 more
doaj +2 more sources
Improving genomic prediction for plant disease using environmental covariates [PDF]
Background Fusarium Head Blight (FHB) is a destructive fungal disease affecting wheat and barley, leading to significant yield losses and reduced grain quality.
Charlotte Brault +8 more
doaj +2 more sources
Integrating Molecular Markers and Environmental Covariates To Interpret Genotype by Environment Interaction in Rice (Oryza sativa L.) Grown in Subtropical Areas [PDF]
Understanding the genetic and environmental basis of genotype × environment interaction (G×E) is of fundamental importance in plant breeding. If we consider G×E in the context of genotype × year interactions (G×Y), predicting which lines will have stable
Eliana Monteverde +7 more
doaj +2 more sources
Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library
Soil salinization is one of the major degradation processes threatening food security and sustainable development. Detailed soil salinity information is increasingly needed to tackle this global challenge for improving soil management.
Yin Zhou +11 more
doaj +1 more source
Recalcitrant C Source Mapping Utilizing Solely Terrain-Related Attributes and Data Mining Techniques
Agricultural practices affect arbuscular mycorrhizal fungal (AMF) hyphae growth and glomalin production, which is a recalcitrant carbon (C) source in soil.
Arezou Siami +5 more
doaj +1 more source
Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic
Mapping the spatial distribution of soil organic carbon (SOC) in lands covered by tropical forests is important to understand the relationship and dynamics of SOC in this type of ecosystem.
Efraín Duarte +5 more
doaj +1 more source
This study employed an ensemble machine learning approach to evaluate the effect of bioclimatic covariates on the prediction accuracy of soil total carbon (TC) in the Pannonian biogeoregion. The analysis involved two main segments: (1) evaluation of base
Dorijan Radočaj +2 more
doaj +1 more source
Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning
Soil organic carbon (SOC) is an essential component, which soil quality depends on. Thus, understanding the spatial distribution and controlling factors of SOC is paramount to achieving sustainable soil management.
Modeste Meliho +6 more
doaj +1 more source
Predictors for digital mapping of forest soil organic carbon stocks in different types of landscape
Forest soils have a high potential to store carbon and thus mitigate climate change. The information on spatial distribution of soil organic carbon (SOC) stocks is thus very important. This study aims to analyse the importance of environmental predictors
Luboš Borůvka +11 more
doaj +1 more source

