Prediction of genetic values of quantitative traits with epistatic effects in plant breeding populations
about
Sparse models for correlative and integrative analysis of imaging and genetic dataDimension reduction and shrinkage methods for high dimensional disease risk scores in historical data.Genomic-enabled prediction with classification algorithms.Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE).Modeling additive and non-additive effects in a hybrid population using genome-wide genotyping: prediction accuracy implications.Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model.Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs.Genomic prediction in CIMMYT maize and wheat breeding programs.Influence of epistasis on response to genomic selection using complete sequence data.Epistasis and covariance: how gene interaction translates into genomic relationship.Genomic selection in a commercial winter wheat population.Potential and limits of whole genome prediction of resistance to Fusarium head blight and Septoria tritici blotch in a vast Central European elite winter wheat population.Modeling Epistasis in Genomic Selection.Goals and hurdles for a successful implementation of genomic selection in breeding programme for selected annual and perennial crops.Haplotype-Based Genome-Wide Prediction Models Exploit Local Epistatic Interactions Among Markers.Genomic heritability estimates in sweet cherry reveal non-additive genetic variance is relevant for industry-prioritized traits.Genome-wide association and epistasis studies unravel the genetic architecture of sudden death syndrome resistance in soybean.Evolutionary footprint of epistasis
P2860
Q30851033-EFEAF0CA-3343-4A69-B038-EE2ADCC4A137Q31070556-C51FB13A-B953-4D3E-928D-BBC549298CF8Q33621657-C465F71A-3713-4A56-8B35-D350D4B5C8E7Q36238742-E0B0BA96-F8BA-4F41-9826-E432767DFE2EQ36726456-C9B5A188-9DA8-4DE0-88A0-A081F33E3596Q36749914-B3AB19BD-F18D-4D20-9C8A-C334009292E0Q36750087-DB802670-69F2-460F-9D30-D426DF625F69Q37385794-B1AB68D6-F7B0-421A-9206-75F87179C91AQ38608006-900238EF-79A0-45DD-9BBA-4885C93F17DAQ39992896-6B8E571E-F699-446D-862D-771745077418Q40127592-0A49B113-D6AC-4399-814A-DB6D8663ACF0Q40561548-429BF77A-AAEE-4693-A4FA-C47C024DBC7AQ40685831-E56BF7CC-F105-4C5F-B105-B57732C94026Q46547956-1886837B-7ADA-44AA-B064-1B11F1FD10A4Q52352327-505CDDEF-10C8-4540-AAAA-5CD88A3897CDQ52595680-04B91489-5810-43B4-97CC-52641E0DE8A2Q53286840-096466E0-56DE-44DA-9240-CE9571B96C91Q58728935-E050F300-E35A-46A3-AE90-AD10747ED70A
P2860
Prediction of genetic values of quantitative traits with epistatic effects in plant breeding populations
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Prediction of genetic values o ...... in plant breeding populations
@ast
Prediction of genetic values o ...... in plant breeding populations
@en
type
label
Prediction of genetic values o ...... in plant breeding populations
@ast
Prediction of genetic values o ...... in plant breeding populations
@en
prefLabel
Prediction of genetic values o ...... in plant breeding populations
@ast
Prediction of genetic values o ...... in plant breeding populations
@en
P2093
P2860
P356
P1433
P1476
Prediction of genetic values o ...... in plant breeding populations
@en
P2093
I Salah El-Basyoni
K M Eskridge
P Stephen Baenziger
P2860
P2888
P304
P356
10.1038/HDY.2012.44
P407
P50
P577
2012-08-15T00:00:00Z