In Korea, Korea Proven Bulls (KPN) program has been well-developed. Breeding and evaluation of cows are also an essential factor to increase earnings and genetic gain. This study aimed to evaluate the accuracy of cow breeding value by using three methods
Hyo Sang Lee +11 more
doaj +1 more source
The effectiveness of genomic selection for milk production traits of Holstein dairy cattle [PDF]
Objective This study was conducted to test the efficiency of genomic selection for milk production traits in a Korean Holstein cattle population. Methods A total of 506,481 milk production records from 293,855 animals (2,090 heads with single nucleotide ...
Yun-Mi Lee +6 more
doaj +1 more source
Accuracies of genomically estimated breeding values from pure-breed and across-breed predictions in Australian beef cattle [PDF]
The major obstacles for the implementation of genomic selection in Australian beef cattle are the variety of breeds and in general, small numbers of genotyped and phenotyped individuals per breed. The Australian Beef Cooperative Research Center (Beef CRC) investigated these issues by deriving genomic prediction equations (PE) from a training set of ...
Boerner, Vinzent +2 more
openaire +2 more sources
Domestic and Interbull information in the single step genomic evaluation of Holstein milk production
Estimated breeding values and genomic enhanced breeding values for milk production of young genotyped Holstein bulls were predicted using a conventional animal model, ridge regression genomic prediction procedure, genomic best linear unbiased prediction,
J. Přibyl +5 more
doaj +1 more source
45 A permutation test for validation of genomic estimated breeding values
Abstract Previous studies have shown that the accuracy of Genomic Estimated Breeding Value (GEBV) as a predictor of future performance is higher than the traditional Estimated Breeding Value (EBV). The purpose of this study was to estimate the potential advantage of selection on GEBV for litter size (LS) compared to selection on EBV in ...
Zahra Karimi +2 more
openaire +2 more sources
Comparison of analyses of the QTLMAS XIII common dataset. I: genomic selection [PDF]
Background - Genomic selection, the use of markers across the whole genome, receives increasing amounts of attention and is having more and more impact on breeding programs. Development of statistical and computational methods to estimate breeding values
Coster, A. +12 more
core +1 more source
Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits
Advances in sugarcane breeding have contributed significantly to improvements in agronomic traits and crop yield. However, the growing global demand for sugar and biofuel in the context of climate change requires further improvements in cane and sugar ...
Mintu Ram Meena +8 more
doaj +1 more source
BackgroundIdentifying genomic regions associated with traits of interest and their biological processes provides valuable insights into the phenotypic variability of these traits.
Adebisi R. Ogunbawo +7 more
doaj +1 more source
Genomic Prediction for 25 Agronomic and Quality Traits in Alfalfa (Medicago sativa)
Agronomic and quality traits in alfalfa are very important to forage industry. Genomic prediction (GP) based on genotyping-by-sequencing (GBS) data could shorten the breeding cycles and accelerate the genetic gains of these complex traits, if they ...
Congjun Jia +7 more
doaj +1 more source
Persistence of accuracy of genomic estimated breeding values over generations in layer chickens [PDF]
The predictive ability of genomic estimated breeding values (GEBV) originates both from associations between high-density markers and QTL (Quantitative Trait Loci) and from pedigree information. Thus, GEBV are expected to provide more persistent accuracy over successive generations than breeding values estimated using pedigree-based methods.
Wolc, Anna +9 more
openaire +4 more sources

