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1

Horse breed discrimination using machine learning methods

100%
Burocziova M., R?ha J.
Journal of Applied Genetics
|
2009
|
vol. 50
|
issue 4
375-377
EN
Genetic relationships and population structure of 8 horse breeds in the Czech and Slovak Republics were investigated using classification methods for breed discrimination. To demonstrate genetic differences among these breeds, we used genetic information ? genotype data of microsatellite markers and classification algorithms ? to perform a probabilistic prediction of an individual's breed. In total, 932 unrelated animals were genotyped for 17 microsatellite markers recommended by the ISAG for parentage testing (AHT4, AHT5, ASB2, HMS3, HMS6, HMS7, HTG4, HTG10, VHL20, HTG6, HMS2, HTG7, ASB17, ASB23, CA425, HMS1, LEX3). Algorithms of classification methods ? J48 (decision trees); Naive Bayes, Bayes Net (probability predictors); IB1, IB5 (instance-based machine learning methods); and JRip (decision rules) ? were used for analysis of their classification performance and of results of classification on this genotype dataset. Selected classification methods (Naive Bayes, Bayes Net, IB1), based on machine learning and principles of artificial intelligence, appear usable for these tasks.
2

Genetic evaluation of performance traits in Brazilian Quarter Horse

100%
Monteiro C. M. J., da_ M. M. D. S.
Journal of Applied Genetics
|
2007
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vol. 48
|
issue 2
145-151
EN
The aim of this study was to estimate genetic parameters for racing performance traits in Quarter Horses in Brazil. The data (provided by the Sorocaba Jockey Club) came from 3 Brazilian hippodromes in 1994?2003, with 11 875 observations of race time and 7775 of the speed index (SI), distributed in 2403 and 2169 races, respectively. The variance components were estimated by the MTGSAM program, under animal models including the random additive genetic effect, random permanent environmental effect, and the fixed effects of sex, age and race. Heritabilities for race time and the SI, for the 3 distances studied (301, 365 and 402 m), varied from 0.26 to 0.41 and from 0.14 to 0.19, respectively, whereas repeatabilities varied from 0.36 to 0.68 (time) and from 0.27 to 0.42 (SI) and the genetic correlations from 0.90 to 0.97 (time) and from 0.67 to 0.73 (SI).
3

A low-level X chromosome mosaicism in mares, detected by chromosome painting

88%
Wieczorek M., Switonski M., Yang F.
Journal of Applied Genetics
|
2001
|
vol. 42
|
issue 2
205-209
EN
Fluorescence in situ hybridization with the use of the equine X whole chromosome painting probe was carried out on chromosome spreads originating from three mares with poor reproductive performance (infertility, miscarriage or stillbirth). The numbers of analysed spreads were high (105, 300 and 480) and in all three mares a low frequency of mosaicism was identified. The mares had the following karyotypes: 64,XX/63,X/65,XXX (93.6%/5.7%/0.7%), 64,XX/63,X (98.9%/1.1%) and 64,XX/63,X (94.3%/5.7%). The incidence and importance of the low percentage X chromosome mosaicism are discussed.
4

Genetis relations between conformation traits of half-breed horses

88%
Kapron M., Pieta M., Kapron H.
Genetica Polonica
|
1994
|
vol. 35
|
issue 1-2
109-114
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