Results 11 to 20 of about 361,490 (238)

QUANTITATIVE GENETICS OF HETEROCHRONY [PDF]

Evolution, 1987
A model of quantitative-genetic variation in developmental processes is introduced and analyzed. The model is of a bifurcating sequence of events in which traits develop from the same tissue until a transition occurs, after which they develop partially independently.
openaire   +2 more sources

Transcriptomic and presence/absence variation in the barley genome assessed from multi-tissue mRNA sequencing and their power to predict phenotypic traits

BMC Genomics, 2019
Background Barley is the world’s fourth most cultivated cereal and is an important crop model for genetic studies. One layer of genomic information that remains poorly explored in barley is presence/absence variation (PAV), which has been suggested to ...
Marius Weisweiler, Amaury de Montaigu, David Ries, Mara Pfeifer, Benjamin Stich   +4 more
doaj   +1 more source

Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets

Animals, 2022
Selection for the number of living pigs on day 11 (L11) aims to reduce piglet mortality and increase litter size simultaneously. This approach could be sub-optimal, especially for organic pig breeding.
Roos M. Zaalberg, Trine M. Villumsen, Just Jensen, Thinh T. Chu   +3 more
doaj   +1 more source

Genomic prediction in Nordic Red dairy cattle considering breed origin of alleles

Journal of Dairy Science, 2022
: This study investigated the reliability of genomic prediction (GP) using breed origin of alleles (BOA) approach in the Nordic Red (RDC) population, which has an admixed population structure.
Ana Guillenea, Guosheng Su, Mogens Sand⊘ Lund, Emre Karaman   +3 more
doaj   +1 more source

Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle

BMC Genomics, 2018
Background Improving resistance to mastitis, one of the costliest diseases in dairy production, has become an important objective in dairy cattle breeding. However, mastitis resistance is influenced by many genes involved in multiple processes, including
Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle

BMC Genetics, 2019
Background Genome-wide association studies (GWAS) have been successfully implemented in cattle research and breeding. However, moving from the associations to identify the causal variants and reveal underlying mechanisms have proven complicated. In dairy
Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Prioritizing candidate genes for fertility in dairy cows using gene-based analysis, functional annotation and differential gene expression

BMC Genomics, 2019
Background An unfavorable genetic correlation between milk production and fertility makes simultaneous improvement of milk production and fertility difficult in cattle breeding. Rapid genetic improvement in milk production traits in dairy cattle has been
Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Retraction Note: Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle

BMC Genetics, 2018
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Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle

Genetics Selection Evolution, 2019
Background Genome-wide association studies (GWAS) are widely used to identify regions of the genome that harbor genetic determinants of quantitative traits.
Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Estimation of variance components and prediction of breeding values based on group records from varying group sizes

Genetics Selection Evolution, 2018
Background Records on groups of individuals rather than on single individuals could be valuable for predicting breeding values (BV) of the traits that are difficult or costly to measure individually, such as feed intake in pigs or beef cattle.
Guosheng Su, Per Madsen, Bjarne Nielsen, Tage Ostersen, Mahmoud Shirali, Just Jensen, Ole F. Christensen   +6 more
doaj   +1 more source