Results 1 to 10 of about 372,486 (255)

Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges [PDF]

Plant Communications, 2021
James C Schnable, N K Wijewardane, Abbas Atefi   +2 more
exaly   +2 more sources

A breed-of-origin of alleles model that includes crossbred data improves predictive ability for crossbred animals in a multi-breed population

Genetics Selection Evolution, 2023
Background Recently, crossbred animals have begun to be used as parents in the next generations of dairy and beef cattle systems, which has increased the interest in predicting the genetic merit of those animals.
Ana Guillenea, Mogens Sandø Lund, Ross Evans, Vinzent Boerner, Emre Karaman   +4 more
doaj   +1 more source

Breed of origin of alleles and genomic predictions for crossbred dairy cows

Genetics Selection Evolution, 2021
Background In dairy cattle, genomic selection has been implemented successfully for purebred populations, but, to date, genomic estimated breeding values (GEBV) for crossbred cows are rarely available, although they are valuable for rotational ...
Jón H. Eiríksson, Emre Karaman, Guosheng Su, Ole F. Christensen   +3 more
doaj   +1 more source

Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs

Genetics Selection Evolution, 2021
Background In breeding programs, recording large-scale feed intake (FI) data routinely at the individual level is costly and difficult compared with other production traits.
Hongding Gao, Guosheng Su, Just Jensen, Per Madsen, Ole F. Christensen, Birgitte Ask, Bjarke G. Poulsen, Tage Ostersen, Bjarne Nielsen   +8 more
doaj   +1 more source

Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices

Genetics Selection Evolution, 2020
Background The traditional way to estimate variance components (VC) is based on the animal model using a pedigree-based relationship matrix (A) (A-AM).
Lei Wang, Luc L. Janss, Per Madsen, John Henshall, Chyong-Huoy Huang, Danye Marois, Setegn Alemu, AC Sørensen, Just Jensen   +8 more
doaj   +1 more source

Supervised learning techniques for dairy cattle body weight prediction from 3D digital images

Frontiers in Genetics, 2023
Introduction: The use of automation and sensor-based systems in livestock production allows monitoring of individual cows in real-time and provides the possibility of early warning systems to take necessary management actions against possible anomalies ...
Grum Gebreyesus, Viktor Milkevych, Jan Lassen, Jan Lassen, Goutam Sahana   +4 more
doaj   +1 more source

Estimation and consequences of direct-maternal genetic and environmental covariances in models for genetic evaluation in broilers

Genetics Selection Evolution, 2023
Background Maternal effects influence juvenile traits such as body weight and early growth in broilers. Ignoring significant maternal effects leads to reduced accuracy and inflated predicted breeding values.
Hélène Romé, Thinh T. Chu, Danye Marois, Chyong-Huoy Huang, Per Madsen, Just Jensen   +5 more
doaj   +1 more source

Pre-selection against a lethal recessive allele in breeding schemes with optimum-contribution selection or truncation selection

Genetics Selection Evolution, 2021
Background We tested the hypothesis that breeding schemes with a pre-selection step, in which carriers of a lethal recessive allele (LRA) were culled, and with optimum-contribution selection (OCS) reduce the frequency of a LRA, control rate of inbreeding,
Line Hjortø, Mark Henryon, Huiming Liu, Peer Berg, Jørn Rind Thomasen, Anders Christian Sørensen   +5 more
doaj   +1 more source

Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans

BMC Genomics, 2022
Background Imputation from genotyping array to whole-genome sequence variants using resequencing of representative reference populations enhances our ability to map genetic factors affecting complex phenotypes in livestock species.
Zexi Cai, Ole Fredslund Christensen, Mogens Sandø Lund, Tage Ostersen, Goutam Sahana   +4 more
doaj   +1 more source

COMPARISON OF QUANTITATIVE GENETIC PARAMETERS [PDF]

Evolution, 1992
Shaw (1991) has described a maximum-likelihood procedure for comparing genetic covariance matrices between populations. While her efforts to expand the procedures available for quantitative genetic analyses are laudable, her discussion is incomplete in several respects. For example, consider her criticism of Dietz's matrix permutation test (Dietz, 1983)
David E, Cowley, William R, Atchley
openaire   +2 more sources