Efficient Markov chain Monte Carlo implementation of Bayesian analysis of additive and dominance genetic variances in noninbred pedigrees
about
Genome-Enabled Estimates of Additive and Nonadditive Genetic Variances and Prediction of Apple Phenotypes Across EnvironmentsBayesian quantitative trait locus mapping based on reconstruction of recent genetic histories.Bayesian inference of genetic parameters based on conditional decompositions of multivariate normal distributions.Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters.Combined linkage disequilibrium and linkage mapping: Bayesian multilocus approach.On statistical methods for estimating heritability in wild populations.Candidate gene association mapping of Sclerotinia stalk rot resistance in sunflower (Helianthus annuus L.) uncovers the importance of COI1 homologs.Bayesian inference of mixed models in quantitative genetics of crop species.Bayesian prediction of breeding values by accounting for genotype-by-environment interaction in self-pollinating crops.
P2860
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P2860
Efficient Markov chain Monte Carlo implementation of Bayesian analysis of additive and dominance genetic variances in noninbred pedigrees
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Efficient Markov chain Monte C ...... riances in noninbred pedigrees
@ast
Efficient Markov chain Monte C ...... riances in noninbred pedigrees
@en
type
label
Efficient Markov chain Monte C ...... riances in noninbred pedigrees
@ast
Efficient Markov chain Monte C ...... riances in noninbred pedigrees
@en
prefLabel
Efficient Markov chain Monte C ...... riances in noninbred pedigrees
@ast
Efficient Markov chain Monte C ...... riances in noninbred pedigrees
@en
P2860
P1433
P1476
Efficient Markov chain Monte C ...... riances in noninbred pedigrees
@en
P2093
Jon Hallander
Patrik Waldmann
P2860
P304
P356
10.1534/GENETICS.107.084160
P407
P577
2008-06-01T00:00:00Z