Full Text Journal Articles by
Author Grum Gebreyesus

Advertisement

Find full text journal articles








Genetic parameters of semen quality traits and genetic correlations with service sire nonreturn rate in Nordic Holstein bulls.

Grum Gebreyesus, Mogens S Lund, Kasia Kupisiewicz, Guosheng Su,

Despite the importance of the quality of semen used in artificial insemination to the reproductive success of dairy herds, few studies have estimated the extent of genetic variability in semen quality traits. Even fewer studies have quantified the correlation between semen quality traits and male fertility. In this study, records ... Read more >>

J Dairy Sci (Journal of dairy science)
[2021, :]

Cited: 0 times

View full text PDF listing >>



Novel approach to incorporate information about recessive lethal genes increases the accuracy of genomic prediction for mortality traits.

Grum Gebreyesus, Goutam Sahana, A Christian Sørensen, Mogens S Lund, Guosheng Su,

The genetic underpinnings of calf mortality can be partly polygenic and partly due to deleterious effects of recessive lethal alleles. Prediction of the genetic merits of selection candidates should thus take into account both genetic components contributing to calf mortality. However, simultaneously modeling polygenic risk and recessive lethal allele effects ... Read more >>

Heredity (Edinb) (Heredity)
[2020, 125(3):155-166]

Cited: 0 times

View full text PDF listing >>



Advertisement

Predictive ability of host genetics and rumen microbiome for subclinical ketosis.

Grum Gebreyesus, Gareth F Difford, Bart Buitenhuis, Jan Lassen, Samantha Joan Noel, Ole Højberg, Damian R Plichta, Zhigang Zhu, Nina A Poulsen, Ulrik K Sundekilde, Peter Løvendahl, Goutam Sahana,

Subclinical metabolic disorders such as ketosis cause substantial economic losses for dairy farmers in addition to the serious welfare issues they pose for dairy cows. Major hurdles in genetic improvement against metabolic disorders such as ketosis include difficulties in large-scale phenotype recording and low heritability of traits. Milk concentrations of ... Read more >>

J Dairy Sci (Journal of dairy science)
[2020, 103(5):4557-4569]

Cited: 0 times

View full text PDF listing >>



Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results.

Grum Gebreyesus, Henk Bovenhuis, Mogens S Lund, Nina A Poulsen, Dongxiao Sun, Bart Buitenhuis,

<h4>Background</h4>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 population size. An effective method to increase reference population size could ... Read more >>

Genet Sel Evol (Genetics, selection, evolution : GSE)
[2019, 51(1):16]

Cited: 2 times

View full text PDF listing >>



Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits.

Grum Gebreyesus, Mogens S Lund, Bart Buitenhuis, Henk Bovenhuis, Nina A Poulsen, Luc G Janss,

<h4>Background</h4>Accurate genomic prediction requires a large reference population, which is problematic for traits that are expensive to measure. Traits related to milk protein composition are not routinely recorded due to costly procedures and are considered to be controlled by a few quantitative trait loci of large effect. The amount of ... Read more >>

Genet Sel Evol (Genetics, selection, evolution : GSE)
[2017, 49(1):89]

Cited: 6 times

View full text PDF listing >>



Estimation of genetic parameters and detection of chromosomal regions affecting the major milk proteins and their post translational modifications in Danish Holstein and Danish Jersey cattle.

Bart Buitenhuis, Nina A Poulsen, Grum Gebreyesus, Lotte B Larsen,

<h4>Background</h4>In the Western world bovine milk products are an important protein source in human diet. The major proteins in bovine milk are the four caseins (CN), αS1-, αS2-, β-, and k-CN and the two whey proteins, β-LG and α-LA. It has been shown that both the amount of specific CN ... Read more >>

BMC Genet (BMC genetics)
[2016, 17:114]

Cited: 19 times

View full text PDF listing >>





Advertisement

Disclaimer
0.7727 s