Selecting Spatial Scale of Covariates in Regression Models of Environmental Exposures
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
Identifying multispecies synchrony in response to environmental covariates. [PDF]
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
Genomic selection using random regressions on known and latent environmental covariates. [PDF]
Abstract Key message The integration of known and latent environmental covariates within a single-stage genomic selection approach provides breeders with an informative and practical framework to utilise genotype by environment interaction for prediction into current and future environments.
Tolhurst DJ +4 more
europepmc +4 more sources
MegaLMM improves genomic predictions in new environments using environmental covariates. [PDF]
Abstract Multienvironment trials (METs) are crucial for identifying varieties that perform well across a target population of environments. However, METs are typically too small to sufficiently represent all relevant environment-types, and face challenges from changing environment-types due to climate change.
Hu H, Rincent R, Runcie DE.
europepmc +6 more sources
Extending Finlay–Wilkinson regression with environmental covariates
Abstract Finlay–Wilkinson regression is a popular method for analysing genotype–environment interaction in series of plant breeding and variety trials. It involves a regression on the environmental mean, indexing the productivity of an environment, which is driven by a wide array of environmental factors.
Piepho, Hans‐peter, Blancon, Justin
openaire +3 more sources
Using Udometric Network Data to Estimate an Environmental Covariate [PDF]
Many hydrological and ecological studies recognize the importance of characterizing the temporal and spatial variability of precipitation. In this study, geostatistical methodologies were developed in order to estimate a hydro‐meteorological factor by (re)building the space‐time distribution of the precipitation associated to monthly averages in a ...
A. Manuela Gonçalves +5 more
openaire +3 more sources
Covariability of Vibrio cholerae Microdiversity and Environmental Parameters [PDF]
ABSTRACT Fine-scale diversity of natural bacterial assemblages has been attributed to neutral radiation because correspondence between bacterial phylogenetic signals in the natural environment and environmental parameters had not been detected. Evidence that such correspondence occurs is provided for Vibrio cholerae
Young-Gun, Zo +5 more
openaire +2 more sources
Using LISREL to analyze genetic and environmental covariance structure [PDF]
Describes a method in which the linear structural relationships (LISREL) computer program is used for the genetic analysis of covariance structure. The method is illustrated with simulated and published twin data, including an analysis of twin data by N. G. Martin et al (1981) on psychomotor performance during alcohol intoxication.
Boomsma, D.I., Molenaar, P.C.M.
openaire +5 more sources
Genetic and Environmental Covariation Between Autistic Traits and Behavioral Problems [PDF]
AbstractOur objective was to examine the overlap between autistic traits and other behavioral problems in a general population sample, and explore the extent to which this overlap is due to genetic or environmental factors. Youth Self Report (YSR) data were collected in a general population sample of 424 twin pairs at 18 years of age, and their nontwin
Hoekstra, Rosa A. +4 more
openaire +3 more sources
Defining nutrient management zones (MZs) is crucial for the implementation of site-specific management. The determination of MZs is based on several factors, including crop, soil, climate, and terrain characteristics.
Roomesh Kumar Jena +16 more
doaj +1 more source

