Zobrazeno 1 - 10
of 11
pro vyhledávání: '"L Radu Totir"'
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0130855 (2015)
Genomic selection, enabled by whole genome prediction (WGP) methods, is revolutionizing plant breeding. Existing WGP methods have been shown to deliver accurate predictions in the most common settings, such as prediction of across environment perform
Externí odkaz:
https://doaj.org/article/55152fa08d21435a81ef39303c1ca758
Publikováno v:
Crop Science. 56:2141-2156
High throughput genotyping, phenotyping, and envirotyping applied within plant breeding multienvironment trials (METs) provide the data foundations for selection and tackling genotype x environment interactions (GEIs) through whole-genome prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9355ba363f3638cc42b56bd0c6755ca
https://doi.org/10.2135/cropsci2015.08.0512
https://doi.org/10.2135/cropsci2015.08.0512
Autor:
L. Radu Totir, Frank Technow
Publikováno v:
G3: Genes|Genomes|Genetics
Training set size is an important determinant of genomic prediction accuracy. Plant breeding programs are characterized by a high degree of structuring, particularly into populations. This hampers the establishment of large training sets for each pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d46f2fa9afacf0c1ded31654acaa079
http://europepmc.org/articles/PMC4528317
http://europepmc.org/articles/PMC4528317
Autor:
O. S. Smith, L. Radu Totir, Martin P. Boer, Cajo J. F. ter Braak, Christopher R. Winkler, Marco C. A. M. Bink
Publikováno v:
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Theoretical and Applied Genetics, 124(6), 1097-1113
Theoretical and Applied Genetics 124 (2012) 6
Theoretical and Applied Genetics, 124(6), 1097-1113
Theoretical and Applied Genetics 124 (2012) 6
The common assumption in quantitative trait locus (QTL) linkage mapping studies that parents of multiple connected populations are unrelated is unrealistic for many plant breeding programs. We remove this assumption and propose a Bayesian approach th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::919b62fe45206a3e01c7b02c1a0a1291
http://europepmc.org/articles/PMC3325021
http://europepmc.org/articles/PMC3325021
Autor:
O. S. Smith, Christopher R. Winkler, Marco C. A. M. Bink, L. Radu Totir, Martin P. Boer, Cajo J. F. ter Braak
Publikováno v:
Genetics 185 (2010) 3
Genetics, 185(3), 1045-1057
Genetics, 185(3), 1045-1057
Genetic linkage and association studies are empowered by proper modeling of relatedness among individuals. Such relatedness can be inferred from marker and/or pedigree information. In this study, the genetic relatedness among n inbred individuals at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f04f12dd70d7e7fde644181f229238
https://doi.org/10.1534/genetics.110.117390
https://doi.org/10.1534/genetics.110.117390
Integrating crop growth models with whole genome prediction through approximate Bayesian computation
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0130855 (2015)
PLoS ONE
PLoS ONE
Genomic selection, enabled by whole genome prediction (WGP) methods, is revolutionizing plant breeding. Existing WGP methods have been shown to deliver accurate predictions in the most common settings, such as prediction of across environment perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd4ccf14e22fbec18f54b237fcbad8f
https://doi.org/10.1101/014100
https://doi.org/10.1101/014100
Autor:
Frank Technow, L. Radu Totir
Estimation set size is an important determinant of genomic prediction accuracy. Plant breeding programs are characterized by a high degree of structuring, particularly into populations. This hampers establishment of large estimation sets for each pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cce1ceffacb3d87e8fe8c23d7aa0187b
Autor:
L. Radu Totir, Geoffrey Ian Graham, Dean Podlich, Neil J. Hausmann, Mark E. Cooper, Andrew Baumgarten, Carlos D. Messina, Deanne Wright
Publikováno v:
Crop and Pasture Science. 65:311
For the foreseeable future, plant breeding methodology will continue to unfold as a practical application of the scaling of quantitative biology. These efforts to increase the effective scale of breeding programs will focus on the immediate and long-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27c3cabb63dd784f429beb4423441f3e
https://doi.org/10.1071/cp14007
https://doi.org/10.1071/cp14007
Autor:
Andy Baumgarten, Martin P. Boer, Mark E. Cooper, L. Radu Totir, Christopher R. Winkler, Deanne Wright, Matthew David Smalley, Keith Boldman, Dean Podlich, Fred A. van Eeuwijk, Martin Arbelbide, Cajo J. F. ter Braak, Marco C. A. M. Bink
Publikováno v:
Theoretical and Applied Genetics, 120(2), 429-440
Theoretical and Applied Genetics 120 (2010) 2
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Theoretical and Applied Genetics 120 (2010) 2
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Two outlines for mixed model based approaches to quantitative trait locus (QTL) mapping in existing maize hybrid selection programs are presented: a restricted maximum likelihood (REML) and a Bayesian Markov Chain Monte Carlo (MCMC) approach. The met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d43156c483bcaba34f642eff94455446
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