Literature DB >> 21906185

Genetic diversity in an indigenous horse breed: implications for mating strategies and the control of future inbreeding.

H Hasler1, C Flury, S Menet, B Haase, T Leeb, H Simianer, P A Poncet, S Rieder.   

Abstract

The Franches-Montagnes is an indigenous Swiss horse breed, with approximately 2500 foalings per year. The stud book is closed, and no introgression from other horse breeds was conducted since 1998. Since 2006, breeding values for 43 different traits (conformation, performance and coat colour) are estimated with a best linear unbiased prediction (BLUP) multiple trait animal model. In this study, we evaluated the genetic diversity for the breeding population, considering the years from 2003 to 2008. Only horses with at least one progeny during that time span were included. Results were obtained based on pedigree information as well as from molecular markers. A series of software packages were screened to combine best the best linear unbiased prediction (BLUP) methodology with optimal genetic contribution theory. We looked for stallions with highest breeding values and lowest average relationship to the dam population. Breeding with such stallions is expected to lead to a selection gain, while lowering the future increase in inbreeding within the breed.
© 2011 Blackwell Verlag GmbH.

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Year:  2011        PMID: 21906185     DOI: 10.1111/j.1439-0388.2011.00932.x

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  4 in total

1.  A genome-wide association study reveals loci influencing height and other conformation traits in horses.

Authors:  Heidi Signer-Hasler; Christine Flury; Bianca Haase; Dominik Burger; Henner Simianer; Tosso Leeb; Stefan Rieder
Journal:  PLoS One       Date:  2012-05-16       Impact factor: 3.240

2.  Imputation of sequence level genotypes in the Franches-Montagnes horse breed.

Authors:  Mirjam Frischknecht; Markus Neuditschko; Vidhya Jagannathan; Cord Drögemüller; Jens Tetens; Georg Thaller; Tosso Leeb; Stefan Rieder
Journal:  Genet Sel Evol       Date:  2014-10-01       Impact factor: 4.297

3.  Mitochondrial DNA Survey Reveals the Lack of Accuracy in Maremmano Horse Studbook Records.

Authors:  Andrea Giontella; Irene Cardinali; Hovirag Lancioni; Samira Giovannini; Camillo Pieramati; Maurizio Silvestrelli; Francesca Maria Sarti
Journal:  Animals (Basel)       Date:  2020-05-12       Impact factor: 2.752

4.  A chromosomal region on ECA13 is associated with maxillary prognathism in horses.

Authors:  Heidi Signer-Hasler; Markus Neuditschko; Christoph Koch; Sylvie Froidevaux; Christine Flury; Dominik Burger; Tosso Leeb; Stefan Rieder
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

  4 in total

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