Results 101 to 110 of about 3,979,334 (274)
Modeling Epistasis in Genomic Selection [PDF]
Abstract Modeling epistasis in genomic selection is impeded by a high computational load. The extended genomic best linear unbiased prediction (EG-BLUP) with an epistatic relationship matrix and the reproducing kernel Hilbert space regression (RKHS) are two attractive approaches that reduce the computational load.
Jochen C. Reif, Yong Jiang
openaire +3 more sources
New cycle, same old mistakes? Overlapping vs. discrete generations in long-term recurrent selection
Background Recurrent selection is a foundational breeding method for quantitative trait improvement. It typically features rapid breeding cycles that can lead to high rates of genetic gain.
Marlee R. Labroo, Jessica E. Rutkoski
doaj +1 more source
Adaptive estimation for Hawkes processes; application to genome analysis [PDF]
The aim of this paper is to provide a new method for the detection of either favored or avoided distances between genomic events along DNA sequences. These events are modeled by a Hawkes process.
Reynaud-Bouret, Patricia+1 more
core +6 more sources
Genomic selection (GS) has resulted in rapid rates of genetic gains especially in dairy cattle in developed countries resulting in a higher proportion of genomically proven young bulls being used in breeding.
R. Mrode+3 more
semanticscholar +1 more source
Marker-Assisted Selection and Genomic Selection
Breeding techniques and molecular tools, i.e., biotechnology, have increased crop yield over the last century. Marker-assisted selection and, more recently, genome-wide association studies and genomic selection have been used as tools of breeding programs, especially in the resistant genotype selection.
UnĂªda-Trevisoli, Sandra Helena+2 more
openaire +3 more sources
Genomic selection (GS) is a technique that integrates genomic data, pedigree information, and individual phenotypes to enhance genetic improvements of economically important traits in livestock. While it has shown significant effects in dairy cattle, its
Le Zhou+7 more
doaj +1 more source
Statistical considerations for genomic selection [PDF]
Genomic selection is becoming increasingly important in animal and plant breeding, and is attracting greater attention for human disease risk prediction.
Huimin KANG, Lei ZHOU, Jianfeng LIU
doaj +1 more source
SWEEPFINDER2: Increased sensitivity, robustness, and flexibility
SweepFinder is a popular program that implements a powerful likelihood-based method for detecting recent positive selection, or selective sweeps. Here, we present SweepFinder2, an extension of SweepFinder with increased sensitivity and robustness to the ...
DeGiorgio, Michael+4 more
core +1 more source
Background Over the last ten years, genomic selection has developed enormously. Simulations and results on real data suggest that breeding values can be predicted with high accuracy using genetic markers alone.
Van Grevenhof Elizabeth M+2 more
doaj +1 more source
The impact of epistatic selection on the genomic traces of selection [PDF]
The rapid accumulation of genomic data has led to an explosion of studies searching for signals of past selection left within DNA sequences. Yet the majority of theoretical studies investigating the traces of selection have assumed a simple form of selection, without interactions among selectively fixed sites.
Michael C. Whitlock, Sarah P. Otto
openaire +3 more sources