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Abstract

Background: Availability of whole-genome sequence data for a large number of cattle and efficient imputation methodologies open a new opportunity to include rare and low-frequency variants (RLFV) in genomic prediction in dairy cattle. The objective of this study was to examine the impact of...

Author(s)
Zhang QianQian; Sahana, G.; Su GuoSheng; Guldbrandtsen, B.; Lund, M. S.; Calus, M. P. L.
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2018, 50, 62, pp (20 November 2018)
Abstract

Background: Whole-genome sequencing and imputation methodologies have enabled the study of the effects of genomic variants with low to very low minor allele frequency (MAF) on variation in complex traits. Our objective was to estimate the proportion of variance explained by imputed sequence...

Author(s)
Zhang QianQian; Calus, M. P. L.; Guldbrandtsen, B.; Lund, M. S.; Sahana, G.
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2017, 49, 60, pp (1 August 2017)
Abstract

The aim of this study was to investigate the effect of different strategies for handling low-quality or missing data on prediction accuracy for direct genomic values of protein yield, mastitis and fertility using a Bayesian variable model and a GBLUP model in the Danish Jersey population. The data...

Author(s)
Edriss, V.; Guldbrandtsen, B.; Lund, M. S.; Su GuoSheng
Publisher
Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany
Citation
Archiv Tierzucht, 2013, 56, 77, pp 778-788
Abstract

Background: Large-scale phenotyping for detailed milk fatty acid (FA) composition is difficult due to expensive and time-consuming analytical techniques. Reliability of genomic prediction is often low for traits that are expensive/difficult to measure and for breeds with a small reference...

Author(s)
Gebreyesus, G.; Bovenhuis, H.; Lund, M. S.; Poulsen, N. A.; Sun DongXiao; Buitenhuis, B.
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2019, 51, 16, pp (27 April 2019)
Abstract

Background: A single-step blending approach allows genomic prediction using information of genotyped and non-genotyped animals simultaneously. However, the combined relationship matrix in a single-step method may need to be adjusted because marker-based and pedigree-based relationship matrices may...

Author(s)
Gao HongDing; Christensen, O. F.; Madsen, P.; Nielsen, U. S.; Zhang Yuan; Lund, M. S.; Su GuoSheng
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2012, 44, 8, pp (28 March 2012)
Abstract

Background: There is growing interest in the role of rare variants in the variation of complex traits due to increasing evidence that rare variants are associated with quantitative traits. However, association methods that are commonly used for mapping common variants are not effective to map rare...

Author(s)
Zhang QianQian; Guldbrandtsen, B.; Calus, M. P. L.; Lund, M. S.; Sahana, G.
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2016, 48, 60, pp (17 August 2016)
Abstract

Background: The sensitivity of genome-wide association studies for the detection of quantitative trait loci (QTL) depends on the density of markers examined and the statistical models used. This study compares the performance of three marker densities to refine six previously detected QTL regions...

Author(s)
Wu XiaoPing; Lund, M. S.; Sahana, G.; Guldbrandtsen, B.; Sun DongXiao; Zhang Qin; Su GuoSheng
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2015, 47, 50, pp (19 June 2015)
Abstract

Background: Although the X chromosome is the second largest bovine chromosome, markers on the X chromosome are not used for genomic prediction in some countries and populations. In this study, we presented a method for computing genomic relationships using X chromosome markers, investigated the...

Author(s)
Su GuoSheng; Guldbrandtsen, B.; Aamand, G. P.; Strandén, I.; Lund, M. S.
Publisher
BioMed Central Ltd, London, UK
Citation
Genetics, Selection, Evolution, 2014, 46, 47, pp (30 July 2014)
Abstract

Genetic parameters were estimated for the major milk proteins using bivariate and multi-trait models based on genomic relationships between animals. The analyses included, apart from total protein percentage, αS1-casein (CN), αS2-CN, β-CN, κ-CN, α-lactalbumin, and β-lactoglobulin, as well as the...

Author(s)
Gebreyesus, G.; Lund, M. S.; Janss, L.; Poulsen, N. A.; Larsen, L. B.; Bovenhuis, H.; Buitenhuis, A. J.
Publisher
Elsevier Inc., Philadelphia, USA
Citation
Journal of Dairy Science, 2016, 99, 4, pp 2863-2866
Abstract

Whole blood stimulation assay (WBA) has been widely used to study production of the pro-inflammatory cytokine, tumor necrosis factor-alpha (TNF-α) and is considered a relatively good predictor for the in vivo release of TNF-α during endotoximia in dairy cattle. However, it requires a standardized...

Author(s)
Khatun, M.; Jørgensen, H. B. H.; Ehsani, A.; Lund, M. S.; Sahana, G.; Sørensen, P.; Røntved, C. M.
Publisher
Elsevier B. V., Amsterdam, Netherlands
Citation
Livestock Science, 2017, 201, pp 92-98

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