Results 21 to 30 of about 2,273 (218)

Genetic and Environmental Covariation Between Autistic Traits and Behavioral Problems [PDF]

open access: yesTwin Research and Human Genetics, 2007
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

SURVEILLANCE OF ENVIRONMENTAL DOSE RATE WITH THE COVARIANCE MATRIX

open access: yesRadiation Protection Dosimetry, 2018
Abstract The objective of this study is the operational verification of an environmental dose rate monitoring network composed by several sensors. The verification of the study has been tested on the CIEMAT’s Radiological Network, establishing a records quality assurance of the detectors using the covariance matrix and the eigenvalues ...
G, Benito   +3 more
openaire   +2 more sources

Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil

open access: yesPesquisa Agropecuária Brasileira, 2021
The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through
Rafael Ferreira Montes   +2 more
doaj   +1 more source

Environmental effects on the covariation among pace‐of‐life traits

open access: yesEthology, 2019
Abstract Pace‐of‐life syndromes (POLSs) are suites of life‐history, physiological and behavioural traits that arise due to trade‐offs between allocation to current and future reproduction. Traits generally show covariation that can arise from genetic and environmental influences on phenotypes and constrain the independent evolution of
Anni Hämäläinen   +3 more
openaire   +4 more sources

The evolution of genetic covariance and modularity as a result of multigenerational environmental fluctuation

open access: yesEvolution Letters, 2023
Abstract The genetic covariance between traits can affect the evolution of a population through selection, drift, and migration. Conversely, research has demonstrated the reciprocal effect of evolutionary processes on changing genetic covariances, in part through mutational covariance, correlational selection, and plasticity.
do O, I., Whitlock, M.C.
openaire   +3 more sources

Using Machine Learning Algorithms to Estimate Soil Organic Carbon Variability with Environmental Variables and Soil Nutrient Indicators in an Alluvial Soil

open access: yesLand, 2020
Soil organic carbon (SOC) is an important indicator of soil quality and directly determines soil fertility. Hence, understanding its spatial distribution and controlling factors is necessary for efficient and sustainable soil nutrient management. In this
Kingsley JOHN   +5 more
doaj   +1 more source

A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect

open access: yesEnvironmental Research Letters, 2022
Cropland soil carbon not only serves food security but also contributes to the stability of the terrestrial ecosystem carbon pool due to the strong interconnection with atmospheric carbon dioxide.
Haili Huang   +8 more
doaj   +1 more source

Genetic and environmental influences on disgust proneness, contamination sensitivity, and their covariance [PDF]

open access: yesClinical Psychological Science, 2020
Dozens of studies indicate that individuals more prone to experiencing disgust have stronger symptoms of anxiety disorders – especially contamination sensitivity. However, no work has informed the degree to which this relationship arises from genetic versus environmental factors.
Joshua M. Tybur   +2 more
openaire   +4 more sources

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

open access: yesGenetic 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
D M, Mandal   +9 more
openaire   +2 more sources

Feature engineering of environmental covariates improves plant genomic-enabled prediction

open access: yesFrontiers 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   +14 more
doaj   +1 more source

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