ASREML statistics

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Citations per year

Number of citations per year for the bioinformatics software tool ASREML
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Tool usage distribution map

This map represents all the scientific publications referring to ASREML per scientific context
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Associated diseases

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Protocols

ASREML specifications

Information


Unique identifier OMICS_24668
Name ASREML
Software type Application/Script
Interface Command line interface
Restrictions to use License purchase required
Operating system Unix/Linux, Windows
Computer skills Advanced
Version 4
Stability Stable
Free trial Yes
Registration required Yes
Maintained Yes
Wikipedia https://en.wikipedia.org/wiki/ASReml

Versioning


No version available

Documentation


Maintainer


  • person_outline ASREML Team

Additional information


https://www.vsni.co.uk/resources/asreml-user-area/ https://doi.org/10.2307/2533274

ASREML citations

 (56)
library_books

Multienvironment genomic variance decomposition analysis of open pollinated Interior spruce (Picea glauca x engelmannii)

2018
PMCID: 5814545
PMID: 29491726
DOI: 10.1007/s11032-018-0784-3

[…] road-sense heritability was also estimated as H^2=σ^G2/σ^p2, where σ^G2represents thesumofallgenetic effects. The estimations of the variance components and their standard errors were performed using ASReml-R v.3. software (Butler et al. , while the marker-based relationship matrices construction and models’ cross-validations were done in R (R Core Team ). Additionally, the rank order of breeding […]

library_books

Longitudinal changes in telomere length and associated genetic parameters in dairy cattle analysed using random regression models

2018
PLoS One
PMCID: 5811042
PMID: 29438415
DOI: 10.1371/journal.pone.0192864

[…] ver the more complicated [–]. In the end, quadratic polynomials were fitted to both the overall fixed curve and the individual random animal deviation.All statistical analyses were conducted with the ASReml software version 4.1 []. […]

library_books

Drought Sensitivity of Norway Spruce at the Species’ Warmest Fringe: Quantitative and Molecular Analysis Reveals High Genetic Variation Among and Within Provenances

2018
PMCID: 5873913
PMID: 29440346
DOI: 10.1534/g3.117.300524

[…] estimated via traditional ANOVA () or by using restricted maximum likelihood estimation (REML) in linear mixed-effect models, often referred to as the animal model (, ). We used REML in the software ASReml () to estimate variances for two different mixed-effect models: first, we assumed equal selection pressures across all tested provenances and estimated repeatability across all provenances. Her […]

library_books

Differences among six woody perennials native to Northern Europe in their level of genetic differentiation and adaptive potential at fine local scale

2018
Ecol Evol
PMCID: 5817134
PMID: 29468039
DOI: 10.1002/ece3.3824

[…] The variation among trees in their phenological stage was separated into variance and covariance components reflecting genetic differences among and within populations as implemented in the software ASReml (Gilmour, Gogel, Cullis, & Thompson, ) from the model described below.Population values were predicted by application of mixed model (1), and genetic variance component corresponding to each of […]

library_books

A Major Locus for Manganese Tolerance Maps on Chromosome A09 in a Doubled Haploid Population of Brassica napus L.

2017
Front Plant Sci
PMCID: 5733045
PMID: 29312361
DOI: 10.3389/fpls.2017.01952

[…] Two linear mixed model approaches, REML (Restricted Estimation Maximum Likelihood using ASreml 3.0) and CLMM (Cumulative Link Mixed Models using ‘ordinal’ in R 3.3.2) were used in the analysis of chlorosis scores of 10 parental lines. ASreml 3.0 () was used to fit a linear mixed model wh […]

library_books

A Predictive Model for Time to Flowering in the Common Bean Based on QTL and Environmental Variables

2017
PMCID: 5714487
PMID: 29025916
DOI: 10.1534/g3.117.300229

[…] n of the total phenotypic variance Var(P), explained by the genetic variance Var(G). Second, a multi-site mixed effect model (Equation 2) incorporating correlations among the sites was constructed in ASReml () to re-estimate broad sense heritability at the individual site-level (HR2) as well as combined heritability using all five sites (HT2). The fitted model had the following form:TFijklm=μ+Sm+S […]


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ASREML institution(s)
VSNI, Wood Lane, England, UK

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