Results 1 to 10 of about 330,119 (322)

Improving genomic prediction for plant disease using environmental covariates [PDF]

Plant Methods
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, Emily J. Conley, Andrew C. Read, Andrew J. Green, Karl D. Glover, Jason P. Cook, Harsimardeep S. Gill, Jason D. Fiedler, James A. Anderson   +8 more
doaj   +6 more sources

Feature engineering of environmental covariates improves plant genomic-enabled prediction [PDF]

Frontiers in Plant Science
IntroductionBecause Genomic selection (GS) is a predictive methodology, it needs to guarantee high-prediction accuracies for practical implementations.
Osval A. Montesinos-López, Leonardo Crespo-Herrera, Carolina Saint Pierre, Bernabe Cano-Paez, Gloria Isabel Huerta-Prado, Brandon Alejandro Mosqueda-González, Sofia Ramos-Pulido, Guillermo Gerard, Khalid Alnowibet, Roberto Fritsche-Neto, Abelardo Montesinos-López, José Crossa, José Crossa, José Crossa, José Crossa   +14 more
doaj   +4 more sources

Selecting Spatial Scale of Covariates in Regression Models of Environmental Exposures [PDF]

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, Chris Gennings, David C. Wheeler   +2 more
doaj   +5 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, Isobel Routledge, Adrienne Epstein, Jane F. Namuganga, Emmanuel V. Kamya, Gloria Odei Obeng-Amoako, Catherine Maiteki Sebuguzi, Damian Rutazaana, Joan N. Kalyango, Moses R. Kamya, Grant Dorsey, Ronald Wesonga, Steven M. Kiwuwa, Joaniter I. Nankabirwa   +13 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

Using Udometric Network Data to Estimate an Environmental Covariate [PDF]

AIP Conference Proceedings, 2011
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, Marco Costa, Theodore E. Simos, George Psihoyios, Ch. Tsitouras, Zacharias Anastassi   +5 more
openalex   +4 more sources

Genomic selection using random regressions on known and latent environmental covariates. [PDF]

Theor Appl Genet, 2022
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, Gaynor RC, Gardunia B, Hickey JM, Gorjanc G.   +4 more
europepmc   +4 more sources

Environmental covariates: Effects on the power of sib‐pair linkage methods [PDF]

Genetic Epidemiology, 1999
AbstractThe effect of inclusion of environmental risk factors on the power of sib‐pair linkage methods was tested for a qualitative trait. It was found that inclusion of an environmental variable did not increase the power of the Haseman‐Elston (H‐E) sib‐pair nonparametric linkage analysis test. However, a significant increase in power was observed for
Diptasri Mandal, Alexa J.M. Sorant, Elizabeth Pugh, Sherry E. Marcus, Alison P. Klein, Rasika A. Mathias, J. J. O'Neill, Loyrirk F. Temiyakarn, Alexander F. Wilson, Joan E. Bailey‐Wilson   +9 more
openalex   +3 more sources

MegaLMM improves genomic predictions in new environments using environmental covariates. [PDF]

Genetics
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

Establishment and comparison of prediction models for soil black carbon content in urban areas based on Vis–NIR data and environmental covariates

International Journal of Digital Earth
Rapid urbanization has led to significant accumulation of black carbon (BC) in urban soils, threatening ecological safety and human health. Existing methods for quantifying soil BC remain limited by complexity and poor applicability at large scale.
Xiuwen Zhong, Long Guo, Peng Fu, Zhenfeng Shao, Chaoya Dang, Qingwei Zhuang, Peiqing Jing, Xiaodi Xu, Jinyang Wang, Li Tan, Yingyue Pan   +10 more
doaj   +2 more sources