Improving genomic prediction for plant disease using environmental covariates [PDF]
Plant MethodsBackground 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 +4 more sources
Associations between environmental covariates and temporal changes in malaria incidence in high transmission settings of Uganda: a distributed lag nonlinear analysis [PDF]
BMC Public Health, 2021 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]
Frontiers in Plant ScienceIntroductionBecause 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
Identifying multispecies synchrony in response to environmental covariates. [PDF]
Ecol Evol, 2016 AbstractThe importance of multispecies models for understanding complex ecological processes and interactions is beginning to be realized. Recent developments, such as those by Lahoz‐Monfort et al. (2011), have enabled synchrony in demographic parameters across multiple species to be explored.
Swallow B, King R, Buckland ST, Toms MP.
europepmc +8 more sources
Integrating Molecular Markers and Environmental Covariates To Interpret Genotype by Environment Interaction in Rice (Oryza sativa L.) Grown in Subtropical Areas [PDF]
G3: Genes, Genomes, Genetics, 2019 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
Selecting Spatial Scale of Covariates in Regression Models of Environmental Exposures
Cancer Informatics, 2015 Environmental factors or socioeconomic status variables used in regression models to explain environmental chemical exposures or health outcomes are often in practice modeled at the same buffer distance or spatial scale.
Lauren P. Grant +2 more
doaj +4 more sources
Impact of environmental covariates summarization on predictive ability in genomic selection
The Plant GenomeIntegrating genomic and environmental information holds the potential for enhancing the predictive power of genomic prediction models when accounting for the genotype‐by‐environment interactions.
Vitor Seiti Sagae +4 more
doaj +3 more sources
Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library
Remote Sensing, 2022 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
Agronomy, 2022 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
European Journal of Remote Sensing, 2022 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