Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Jérémie Vandenplas"'
Autor:
Renzo Bonifazi, Mario P. L. Calus, Jan ten Napel, Roel F. Veerkamp, Stefano Biffani, Martino Cassandro, Simone Savoia, Jérémie Vandenplas
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-18 (2023)
Abstract Background International evaluations combine data from different countries allowing breeders to have access to larger panels of elite bulls and to increase the accuracy of estimated breeding values (EBV). However, international and national
Externí odkaz:
https://doaj.org/article/242fc53c3ee1426aa3dcf6c8a5c0ff8d
Autor:
Renzo Bonifazi, Mario P. L. Calus, Jan ten Napel, Roel F. Veerkamp, Alexis Michenet, Simone Savoia, Andrew Cromie, Jérémie Vandenplas
Publikováno v:
Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-18 (2022)
Abstract Background Compared to national evaluations, international collaboration projects further improve accuracies of estimated breeding values (EBV) by building larger reference populations or performing a joint evaluation using data (or proxy of
Externí odkaz:
https://doaj.org/article/76c00a13f2ab44738056bedfaea9c4e3
Publikováno v:
Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-11 (2022)
Abstract Background In genomic prediction including data of 3- or 4-way crossbred animals, line composition is usually fitted as a regression on expected line proportions, which are 0.5, 0.25 and 0.25, respectively, for 3-way crossbred animals. Howev
Externí odkaz:
https://doaj.org/article/f7ca1f850a7d48dbb1573aca41839ce7
Autor:
Sanne van den Berg, Jérémie Vandenplas, Fred A. van Eeuwijk, Aniek C. Bouwman, Marcos S. Lopes, Roel F. Veerkamp
Publikováno v:
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-13 (2019)
Abstract Background Use of whole-genome sequence data (WGS) is expected to improve identification of quantitative trait loci (QTL). However, this requires imputation to WGS, often with a limited number of sequenced animals for the target population.
Externí odkaz:
https://doaj.org/article/4f8317174e664d80845e69106d587400
Publikováno v:
Genetics Selection Evolution, Vol 50, Iss 1, Pp 1-17 (2018)
Abstract Background The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) method, such as single-step genomic BLUP (ssGBLUP), simultaneously analyses phenotypic, pedigree, and genomic information of genotyped and
Externí odkaz:
https://doaj.org/article/2506b415fafb42dabe230343033c7b3e
Autor:
Mario P. L. Calus, Jérémie Vandenplas
Publikováno v:
Genetics Selection Evolution, Vol 50, Iss 1, Pp 1-11 (2018)
Abstract Background High levels of pairwise linkage disequilibrium (LD) in single nucleotide polymorphism (SNP) array or whole-genome sequence data may affect both performance and efficiency of genomic prediction models. Thus, this warrants pruning o
Externí odkaz:
https://doaj.org/article/bc74b241df6e49239ad7f841efb5db89
Publikováno v:
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-19 (2017)
Abstract Background In crossbreeding programs, various genomic prediction models have been proposed for using phenotypic records of crossbred animals to increase the selection response for crossbred performance in purebred animals. A possible model i
Externí odkaz:
https://doaj.org/article/3c0b28ce533140d88924acc06dd0fbc3
Autor:
Mario P. L. Calus, Jérémie Vandenplas, Marcos Vinícius Gualberto Barbosa da Silva, Marco Antonio Machado, Simone Eliza Facioni Guimarães, Pamela Itajara Otto, João Cláudio do Carmo Panetto
Publikováno v:
Journal of Dairy Science, 103(11), 10347-10360
Journal of Dairy Science 103 (2020) 11
Journal of Dairy Science 103 (2020) 11
Milk production is economically important to the Brazilian agribusiness, and the majority of the country's milk production derives from Girolando (Gir × Holstein) cows. This study aimed to identify quantitative trait loci (QTL) and candidate genes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47960d31e9e38b9e0e96c3d6a80c66f8
https://doi.org/10.3168/jds.2019-17890
https://doi.org/10.3168/jds.2019-17890
Publikováno v:
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-10 (2020)
Genetics Selection Evolution, 52(1)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), pp.24. ⟨10.1186/s12711-020-00543-9⟩
Genetics Selection Evolution 52 (2020) 1
Genetics Selection Evolution, 52(1)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), pp.24. ⟨10.1186/s12711-020-00543-9⟩
Genetics Selection Evolution 52 (2020) 1
Background The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) is one of the single-step evaluations that enable a simultaneous analysis of phenotypic and pedigree information of genotyped and non-genotyped anim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a19f91e025927891e5c697482481bebf
http://link.springer.com/article/10.1186/s12711-020-00543-9
http://link.springer.com/article/10.1186/s12711-020-00543-9
Autor:
Jérémie Vandenplas, Andrew Cromie, Renzo Bonifazi, Jan ten Napel, Mario P. L. Calus, Roel F. Veerkamp
Publikováno v:
Acta Fytotechnica et Zootechnica, 23, 144-155
Acta Fytotechnica et Zootechnica 23 (2020)
Acta Fytotechnica et Zootechnica, Vol 23, Iss Monothematic issue, Pp 144-155 (2020)
Acta Fytotechnica et Zootechnica 23 (2020)
Acta Fytotechnica et Zootechnica, Vol 23, Iss Monothematic issue, Pp 144-155 (2020)
International evaluation models for beef cattle allow to compare animals’ estimated breeding values (EBV) across different countries, thanks to sires having offspring in more than one country. In this study we aimed to provide an up-to-date picture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23142d1cfe8070554a137005346ba189
https://doi.org/10.15414/afz.2020.23.mi-fpap.144-155
https://doi.org/10.15414/afz.2020.23.mi-fpap.144-155