Simulation Study on the Integration of Health Traits in Horse Breeding Programs

Büttgen, Lisa; Geibel, Johannes; Simianer, Henner; Pook, Torsten

doi:10.3390/ani10071153

Cited by 7 publications

(6 citation statements)

References 21 publications

(34 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the following, we will discuss an exemplary use case of the web-interface for a dairy cattle breeding program on farm level. A variety of other breeding schemes that can be simulated via MoBPSweb including a commercial layer breeding program [Supplemental File S2, ( Simianer et al 2020 )], the inclusion of health traits in horse breeding [Supplemental File S3, ( Büttgen et al 2020 )], a cock rotation to preserve genetic diversity in chicken (Supplemental File S4) and the generation of a MAGIC population in maize (Supplemental File S5) are given as templates at www.mobps.de .…”

Section: Resultsmentioning

confidence: 99%

MoBPSweb: A web-based framework to simulate and compare breeding programs

Pook

Büttgen

Ganesan

et al. 2021

G3 Genes|Genomes|Genetics

Self Cite

View full text Add to dashboard Cite

In this work, we introduce a new web-based simulation framework (”MoBPSweb”) that combines a unified language to describe breeding programs with the simulation software MoBPS, standing for ’Modular Breeding Program Simulator’. Thereby, MoBPSweb provides a flexible environment to log, simulate, evaluate, and compare breeding programs. Inputs can be provided via modules ranging from a Vis.js-based environment for” drawing” the breeding program to a variety of modules to provide phenotype information, economic parameters, and other relevant information. Similarly, results of the simulation study can be extracted and compared to other scenarios via output modules (e.g. observed phenotypes, the accuracy of breeding value estimation, inbreeding rates), while all simulations and downstream analysis are executed in the highly efficient R-package MoBPS.

show abstract

Section: Resultsmentioning

confidence: 99%

MoBPSweb: A web-based framework to simulate and compare breeding programs

Pook

Büttgen

Ganesan

et al. 2021

G3 Genes|Genomes|Genetics

Self Cite

View full text Add to dashboard Cite

show abstract

“…The performance of an elite horse is the sum of its genetic capacity (transmitted by its ancestors) and environmental influences (management, nutrition, training, horseman and other random effects). The EBVs are estimates of the animal’s genetic capacity and can be used for the calculation of sports performance [ 6 ], morphology [ 32 ], health [ 33 ] and for the selection and culling of breeding animals.…”

Section: Discussionmentioning

confidence: 99%

Racing Performance of the Quarter Horse: Genetic Parameters, Trends and Correlation for Earnings, Best Time and Time Class

Faria

Vicente

Silva

2023

Animals

View full text Add to dashboard Cite

The aim of this study was to evaluate the sprint racing performance of Quarter Horses in Brazil. Estimating genetic parameters, trends and correlations were obtained by single- and two-trait analyses using Bayesian inference (earnings to 2 years of equestrian age, best time and time class at distances of 301 m and 402 m). The data comprised a period of 38 equestrian years (1978 to 2015) with 23,482 sprint race records from 5861 animals. The heritability estimates were of low to moderate magnitude, ranging from 0.10 to 0.37 (single-trait) and from 0.15 to 0.41 (two-traits), and the repeatability was 0.31 to 0.46. The additive, residual and phenotypic correlations between earnings to 2 years of equestrian age and the other traits (best time and time class in distances 301 m and 402 m) were high (−0.95, −0.96, 0.69 and 0.92), low (−0.29, −0.37, 0.26 and 0.27) and moderate (−0.41, −0.47, 0.37 and 0.47), respectively. There is a positive genetic trend for all traits considered. However, evaluation of the last 10 equestrian years (2006 to 2015) showed negative trends (genetic loss) and trends close to zero (genetic stagnation). The design of breeding programs using the earnings trait in conjunction with other racing performance traits can enhance changes in the genetic gains as a whole in speed-racing Quarter Horses. These findings suggest that the traits studied should be included in breeding selection programs for racing Quarter Horses.

show abstract

“…As this is usually of interest in a simulation study, we generally recommend keeping a simulation study on an appropriate level of simplification. However, if a more complex design is needed after all, modern simulation software such as MoBPS provides a variety of features for modelling, such breeding programs (Büttgen et al 2020) in a flexible but still highly efficient way.…”

Section: Discussionmentioning

confidence: 99%

The Modular Breeding Program Simulator (MoBPS) allows efficient simulation of complex breeding programs

et al. 2021

Self Cite

View full text Add to dashboard Cite

Context.Breeding programs aim at improving the genetic characteristics of livestock populations with respect to productivity, fitness and adaptation, while controlling negative effects such as inbreeding or health and welfare issues. As breeding is affected by a variety of interdependent factors, the analysis of the effect of certain breeding actions and the optimisation of a breeding program are highly complex tasks.Aims. This study was conducted to display the potential of using stochastic simulation to analyse, evaluate and compare breeding programs and to show how the Modular Breeding Program Simulator (MoBPS) simulation framework can further enhance this.Methods. In this study, a simplified version of the breeding program of Göttingen Minipigs was simulated to analyse the impact of genotyping and optimum contribution selection in regard to both genetic gain and diversity. The software MoBPS was used as the backend simulation software and was extended to allow for a more realistic modelling of pig breeding programs. Among others, extensions include the simulation of phenotypes with discrete observations (e.g. teat count), variable litter sizes, and a breeding value estimation in the associated R-package miraculix that utilises a graphics processing unit.Key results. Genotyping with the subsequent use of genomic best linear unbiased prediction (GBLUP) led to substantial increases in genetic gain (15.3%) compared with a pedigree-based BLUP, while reducing the increase of inbreeding by 24.8%. The additional use of optimum genetic selection was shown to be favourable compared with the plain selection of top boars. The use of graphics processing unit-based breeding value estimation with known heritability was~100 times faster than the state-of-the-art R-package rrBLUP.Conclusions. The results regarding the effect of both genotyping and optimal contribution selection are in line with well established results. Paired with additional new features such as the modelling of discrete phenotypes and adaptable litter sizes, this confirms MoBPS to be a unique tool for the realistic modelling of modern breeding programs.Implications. The MoBPS framework provides a powerful tool for scientists and breeders to perform stochastic simulations to optimise the practical design of modern breeding programs to secure standardised breeding of highquality animals and answer associated research questions.

show abstract

Simulation Study on the Integration of Health Traits in Horse Breeding Programs

Cited by 7 publications

References 21 publications

MoBPSweb: A web-based framework to simulate and compare breeding programs

MoBPSweb: A web-based framework to simulate and compare breeding programs

Racing Performance of the Quarter Horse: Genetic Parameters, Trends and Correlation for Earnings, Best Time and Time Class

The Modular Breeding Program Simulator (MoBPS) allows efficient simulation of complex breeding programs

Contact Info

Product

Resources

About