Results 51 to 60 of about 20,754 (222)
The use of molecular markers to identify desirable genes in animal production is known as marker-assisted selection. The traditional genetic evaluation model uses the BLUP methodology; when genetic markers are included in the evaluation model, the ...
Daniel Cardona-Cifuentes +4 more
doaj +1 more source
Singular spaces, groupoids and metrics of positive scalar curvature [PDF]
We define and study, under suitable assumptions, the fundamental class, the index class and the rho class of a spin Dirac operator on the regular part of a spin stratified pseudomanifold.
Piazza, Paolo, Zenobi, Vito Felice
core +2 more sources
To stay or to roam? Behavioural type influences trade‐offs in male wild turkey survival
Read the free Plain Language Summary for this article on the Journal blog. Abstract Animals develop familiarity with specific areas through repeated use, gaining detailed knowledge of local conditions, such as food availability, predator presence, and landscape features, which can directly impact fitness.
Nick A. Gulotta +4 more
wiley +1 more source
Analysis of alternative models treating herd × year effects as fixed or random
The analysis was conducted of the national database of station tests carried out between May 1996- February 2001, using the Hungarian Large White breed. Days of test, total amount of consumed feed and valuable cuts were taken into the analysis. Using the
I. Nagy +4 more
doaj +1 more source
Estimation of individual animal SNP-BLUP reliability using full Monte Carlo sampling
Calculation of individual animal reliability of estimated genomic breeding value by SNP-BLUP requires inversion of the mixed model equations (MME). When the SNP-BLUP model includes a residual polygenic (RPG) effect, the size of the MME will be at least ...
H. Ben Zaabza +2 more
doaj +1 more source
Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP
We examined whether or not the predictive ability of genomic best linear unbiased prediction (GBLUP) could be improved via a resampling method used in machine learning: bootstrap aggregating sampling ("bagging"). In theory, bagging can be useful when the predictor has large variance or when the number of markers is much larger than sample size ...
Gianola D +4 more
openaire +4 more sources
Implications of avoiding overlap between training and testing data sets when evaluating genomic predictions of genetic merit [PDF]
The aim of this study was to evaluate and quantify the importance of avoiding overlap between training and testing subsets of data when evaluating the effectiveness of predictions of genetic merit based on genetic markers.
Amer, P. R., Banos, G.
core +1 more source
Intra‐ and Interspecific Effects on Spatio‐Temporal Behavior of Common Commensal Rodent Species
This study revealed major findings on spatio‐temporal behavior of commensal rodents on a pig farm showing the influence of interspecific dominance on movement behavior and the resulting species‐specific ecological adaptations. Additionally, rodents tend to stay in their home ranges and migration to other stable buildings is only rare.
Florian Huels +8 more
wiley +1 more source
Incorporating kernelized multi-omics data improves the accuracy of genomic prediction
Background Genomic selection (GS) has revolutionized animal and plant breeding after the first implementation via early selection before measuring phenotypes.
Mang Liang +12 more
doaj +1 more source
Adapting the functioning of the collision warning systems to the specific drivers' characteristics is of great benefit to drivers. For example, by customizing collision warning algorithms we can minimize false alarms, thereby reducing injuries and deaths
Pishro-Nik, Hossein +2 more
core +1 more source

