Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rob Bergsma"'
Autor:
Ole Madsen, Roxann S.C. Rikkers, Jerry M. Wells, Rob Bergsma, Soumya K. Kar, Nico Taverne, Anja J. Taverne-Thiele, Esther D. Ellen, Henri Woelders
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Background There is increasing interest in using intestinal organoids to study complex traits like feed efficiency (FE) and host-microbe interactions. The aim of this study was to investigate differences in the molecular phenotype of organoi
Externí odkaz:
https://doaj.org/article/b973fd59652944b992bee4c6300870fa
Autor:
Ibrahim Jibrila, Jeremie Vandenplas, Jan ten Napel, Rob Bergsma, Roel F. Veerkamp, Mario P. L. Calus
Publikováno v:
Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-15 (2022)
Abstract Background Empirically assessing the impact of preselection on genetic evaluation of preselected animals requires comparing scenarios that take different approaches into account, including scenarios without preselection. However, preselectio
Externí odkaz:
https://doaj.org/article/e3b1d6ecfe99452cbc5f6da6b195993e
Autor:
Jeremie Vandenplas, Mario P. L. Calus, Herwin Eding, Mathijs van Pelt, Rob Bergsma, Cornelis Vuik
Publikováno v:
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-15 (2021)
Abstract Background The preconditioned conjugate gradient (PCG) method is the current method of choice for iterative solving of genetic evaluations. The relative difference between two successive iterates and the relative residual of the system of eq
Externí odkaz:
https://doaj.org/article/7d626f7fcd884b17bb702ef983a7b062
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Feature selection (FS, i.e., selection of a subset of predictor variables) is essential in high-dimensional datasets to prevent overfitting of prediction/classification models and reduce computation time and resources. In genomics, FS allows identify
Externí odkaz:
https://doaj.org/article/3ec0ddb3325d42559c95749ab4ca9cf6
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
This research assessed the ability of a Support Vector Machine (SVM) regression model to predict pig crossbred (CB) performance from various sources of phenotypic and genotypic information for improving crossbreeding performance at reduced genotyping
Externí odkaz:
https://doaj.org/article/1467867383be4fabb54856a02722b1ef
Autor:
Claudia A. Sevillano, Jeremie Vandenplas, John W. M. Bastiaansen, Rob Bergsma, Mario P. L. Calus
Publikováno v:
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-14 (2017)
Abstract Background Genomic prediction of purebred animals for crossbred performance can be based on a model that estimates effects of single nucleotide polymorphisms (SNPs) in purebreds on crossbred performance. For crossbred performance, SNP effect
Externí odkaz:
https://doaj.org/article/a6f5032b231c487aac44a145ca4ff084
Autor:
Claudia A. Sevillano, Jeremie Vandenplas, John W. M. Bastiaansen, Rob Bergsma, Mario P. L. Calus
Publikováno v:
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-1 (2017)
Abstract After publication of our article [1], we found a typo in the formula to build the genomic relationship matrix using allele frequencies across all genotyped pigs (matrix) and the genomic relationship matrix using breed-specific allele frequen
Externí odkaz:
https://doaj.org/article/cd8bb856922b47fc82cf855496110601
Autor:
Ibrahim Jibrila, Jan ten Napel, Jeremie Vandenplas, Rob Bergsma, Roel F. Veerkamp, Mario P. L. Calus
Publikováno v:
Journal of Animal Breeding and Genetics 140 (2023) 3
Journal of Animal Breeding and Genetics, 140(3), 253-263
Journal of Animal Breeding and Genetics, 140(3), 253-263
We have previously shown that single-step genomic best linear unbiased prediction (ssGBLUP) estimates breeding values of genomically preselected animals without preselection bias for widely recorded traits, that is traits recorded for the majority of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e1ac77a388a77472476b8497155c9ca
https://research.wur.nl/en/publications/impact-of-genomic-preselection-on-subsequent-ssgblup-evaluation-o
https://research.wur.nl/en/publications/impact-of-genomic-preselection-on-subsequent-ssgblup-evaluation-o
Autor:
Laura Beens, Gustavo A Mejicanos, Ethendhar Rajendiran, Chengbo Yang, Martin Nyachoti, Huaigang Lei, Egbert Knol, Rob Bergsma, Argenis Rodas
Publikováno v:
Journal of Animal Science. 100:214-215
Feed efficiency (FE) is a critical trait in swine production to improve the overall production efficiency and profitability and is an important goal for pig breeding companies. FE is a complex trait involving utilization and storage of dietary nutrie