Results 1 to 10 of about 47,853 (154)
Genome-association analysis of Korean Holstein milk traits using genomic estimated breeding value [PDF]
Objective Holsteins are known as the world’s highest-milk producing dairy cattle. The purpose of this study was to identify genetic regions strongly associated with milk traits (milk production, fat, and protein) using Korean Holstein data.
Donghyun Shin +4 more
doaj +5 more sources
Application of Genomic Data for Reliability Improvement of Pig Breeding Value Estimates [PDF]
Replacement pigs’ genomic prediction for reproduction (total number and born alive piglets in the first parity), meat, fatness and growth traits (muscle depth, days to 100 kg and backfat thickness over 6–7 rib) was tested using single-step genomic best ...
Ekaterina Melnikova +10 more
doaj +3 more sources
Comparison of prediction accuracy for genomic estimated breeding value using the reference pig population of single-breed and admixed-breed. [PDF]
This study was performed to increase the accuracy of genomic estimated breeding value (GEBV) predictions for domestic pigs using single-breed and admixed reference populations (single-breed of Berkshire pigs [BS] with cross breed of Korean native pigs and Landrace pigs [CB]).
Lee SH +8 more
europepmc +5 more sources
Estimated breeding values (EBVs) and genomic enhanced breeding values (GEBVs) for milk production of young genotyped Holstein bulls were predicted using a conventional BLUP - Animal Model, a method fitting regression coefficients for loci (RRBLUP), a method utilizing the realized genomic relationship matrix (GBLUP), by a single-step procedure (ssGBLUP)
Hana Vostra-Vydrova +2 more
exaly +4 more sources
Reliabilities of genomic estimated breeding values in Danish Jersey
In order to optimize the use of genomic selection in breeding plans, it is essential to have reliable estimates of the genomic breeding values. This study investigated reliabilities of direct genomic values (DGVs) in the Jersey population estimated by three different methods. The validation methods were (i) fivefold cross-validation and (ii) validation
B Guldbrandtsen +2 more
exaly +7 more sources
Genomic Selection in Cereal Breeding
Genomic Selection (GS) is a method in plant breeding to predict the genetic value of untested lines based on genome-wide marker data. The method has been widely explored with simulated data and also in real plant breeding programs.
Charlotte D. Robertsen +2 more
doaj +3 more sources
Effects of Single-Nucleotide Polymorphisms on the Estimated Breeding Values for Feet in Holstein-Friesian Cows in Hungary [PDF]
The aim of this study was to identify SNPs in the cattle genome associated with estimated breeding values of feet (EBVfeet) in Holstein-Friesian (HF) cows in Hungary.
Attila Zsolnai +6 more
doaj +2 more sources
Genomic breeding value estimation using nonparametric additive regression models [PDF]
Genomic selection refers to the use of genomewide dense markers for breeding value estimation and subsequently for selection. The main challenge of genomic breeding value estimation is the estimation of many effects from a limited number of observations.
Solberg Trygve +2 more
doaj +3 more sources
This study investigated the reliability of genomic estimated breeding values (GEBV) in the Danish Holstein population. The data in the analysis included 3,330 bulls with both published conventional EBV and single nucleotide polymorphism (SNP) markers. After data editing, 38,134 SNP markers were available.
Guosheng Su, M S Lund
exaly +3 more sources
Efficient Breeding by Genomic Mating
Selection in breeding programs can be done by using phenotypes (phenotypic selection), pedigree relationship (breeding value selection) or molecular markers (marker assisted selection or genomic selection).
Deniz Akdemir, Julio Isidro Sanchez
doaj +3 more sources

