Abstract
Abstract
Background
In livestock breeding, selection for some traits can be improved with direct selection for crossbred performance. However, genetic analyses with phenotypes from crossbred animals require methods for multibreed relationship matrices; especially when some animals are rotationally crossbred. Multiple methods for multibreed relationship matrices exist, but there is a lack of knowledge on how these methods compare for prediction of breeding values with phenotypes from rotationally crossbred animals. Therefore, the objective of this study was to compare models that use different multibreed relationship matrices in terms of ability to predict accurate and unbiased breeding values with phenotypes from two-way rotationally crossbred animals.
Methods
We compared four methods for multibreed relationship matrices: numerator relationship matrices (NRM), García-Cortés and Toro’s partial relationship matrices (GT), Strandén and Mäntysaari’s approximation to the GT method (SM), and one NRM with metafounders (MF). The methods were compared using simulated data. We simulated two phenotypes; one with and one without dominance effects. Only crossbred animals were phenotyped and only purebred animals were genotyped.
Results
The MF and GT methods were the most accurate and least biased methods for prediction of breeding values in rotationally crossbred animals. Without genomic information, all methods were almost equally accurate for prediction of breeding values in purebred animals; however, with genomic information, the MF and GT methods were the most accurate. The GT, MF, and SM methods were the least biased methods for prediction of breeding values in purebred animals.
Conclusions
For prediction of breeding values with phenotypes from rotationally crossbred animals, models using the MF method or the GT method were generally more accurate and less biased than models using the SM method or the NRM method.
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Animal Science and Zoology,General Medicine,Ecology, Evolution, Behavior and Systematics
Reference34 articles.
1. Falconer DS, Mackay T. Correlated response to selection. Introduction to quantitative genetics. Harlow: Prentice Hall; 1996. p. 317–21.
2. Wientjes YCJ, Calus MPL. Board invited review: the purebred-crossbred correlation in pigs: a review of theory, estimates, and implications. J Anim Sci. 2017;95:3467–78.
3. Oldenbroek K, Waaij LVD. The different crossbreeding systems and their applicability. Textbook animal breeding: animal breeding and genetics for BSc students. Wageningen: Centre for Genetic Resources and Animal Breeding and Genomics; 2014. p. 236–41.
4. Lo LL, Fernando RL, Grossman M. Covariance between relatives in multibreed populations: additive model. Theor Appl Genet. 1993;87:423–30.
5. Wei M, van der Werf JHJ. Maximizing genetic response in crossbreds using both purebred and crossbred information. Anim Sci. 1994;59:401–13.
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献