Annual, career or single race records for breeding value estimation in race horses

Langlois, Bertrand; Blouin, Christine

doi:10.1016/j.livsci.2006.09.017

Cited by 26 publications

(28 citation statements)

References 17 publications

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“…Studies evaluating the racing performance of Quarter Horses using race time, finish place, and speed index have been conducted in Brazil (Villela et al, 2002;Corrêa and da Mota, 2007), but there have been no studies examining genetic parameters including earnings (performance measures; PM), as a trait. PM has been extensively investigated in different horse breeds that participate in race competitions Svobodova et al, 2005;Langlois and Blouin, 2007;Gómez et al, 2010;Park et al, 2011), but not in Quarter Horses; understanding the genetic parameters related to this trait would improve the criteria typically used for evaluating racing performance.…”

Section: Introductionmentioning

confidence: 99%

Genetic parameters for earnings in Quarter Horse

Silva¹,

Curi²,

Langlois³

et al. 2014

Genet. Mol. Res.

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ABSTRACT. In this study, we estimated the heritability (h 2 ) of earnings in the Quarter Horse in order to evaluate the inclusion of this trait in breeding programs. Records from 14,754 races of 2443 horses from 1978-2009 were provided by Sorocaba Hippodrome, São Paulo, Brazil. All ancestors of the registered horses were included in the pedigree file until the 4th generation. Log-transformed performance measures (LPM) were analyzed for animals aged 2, 3, and 4 years and during their entire career. The h 2 estimates were obtained using a multi-trait model and Gibbs sampling that included the effects of sex, year of race, and animal in all analyses. Five analyses were performed: 1 in which LPM was divided by the number of prizes, 1 in which LPM was divided by the number of race starts, and 3 analyses that included the number of prizes, number of race starts, and both (LPM_cNPS) as covariates. Analysis was performed with and without inclusion of the maternal effect. Models were compared based on the deviance 5841 ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 13 (3): 5840-5848 (2014) Earnings in Quarter Horse information criterion and LPM_cNPS including maternal effects was found to be the best model. The h 2 estimates and standard deviation obtained using model LPM_cNPS were 0.19 ± 0.08, 0.21 ± 0.08, 0.22 ± 0.09, and 0.21 ± 0.07 for earnings at 2, 3, and 4 years of age and total career, respectively. Our analyses indicate that earnings are subject to selection and can be included in breeding programs to improve the racing performance of Quarter Horses.

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Section: Introductionmentioning

confidence: 99%

Genetic parameters for earnings in Quarter Horse

Silva¹,

Curi²,

Langlois³

et al. 2014

Genet. Mol. Res.

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“…Bu nedenle gelir değerlendirilirken ilk olarak literatürde bildirildiği gibi toplam gelirin logaritması (LogTG) Türk Arap Atında Yarış Performansı İçin Varyans Komponentleri ve Genetik Yönelimin Tahmini alınmıştır ve geliri 10 TL (Log10=1) üzerinde olanlar değerlendirilmiştir Langlois and Blouin, 2007).…”

Section: Performans öZellikleriunclassified

“…Bu özellikler için genetik parametreler ve hayvanların damızlık değerleri tahmin edilmekte ve seleksiyonda kullanılmaktadır (Gaffney and Cunningham, 1988;Oki and Sasaki, 1996;Belhajyahia et al, 2003;Dubois and Ricard, 2007;Langlois and Blouin, 2007;Thorén Hellsten, 2008;Bakhtiari and Kashan, 2009;Park, 2011). 43 üyeli Dünya Spor Atları Yetiştirme Federasyonuna (WBFSH) yaklaşık %80'i Avrupa'dan olmak üzere yıllık 130000 civarında tay kaydedilmektedir (Koenen and Aldridge, 2002).…”

Section: Introductionunclassified

“…Bazı araştırmalarda zamana bağlı özelliklerin kalıtım derecelerinin düşük olduğu bildirilirken (Chico, 1994;Bakhtiari and Kashan, 2009;Orhan and Kaygısız, 2010), bazılarında orta düzeyde bildirilmiştir Park, 2011;Gomez et al, 2010). Bu nedenle çalışmalar kazanç veya sıralama (tabelada ilk dörde girme) ile bu özelliklerin değerlerinin çeşitli şekillerde transformasyonları üzerine yoğunlaşmıştır Langlois and Blouin, 2007;Sobczyńska, 2010;Velie et al, 2014).…”

Section: Introductionunclassified

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Estimation of Variance Components and Genetic Trend for the Race Performance in Turkish Arabian horse

Duru¹

2017

jist

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ÖZET: Bu araştırmada, Türk Arap atında yarış performansı özellikleri için varyans komponentleri ve genetik yönelim tahmin edilmiştir. Bunun için Türkiye 'de 1990-2016 arasında koşan 8321 atın 35929 yarış sonucu değerlendirilmiştir. Varyans komponentleri REML, damızlık değerler BLUP Animal modelde MTDFREML ile tahmin edilmiştir. En iyi yarış zamanı ve yarış hızı üzerine mesafe, cinsiyet, pist tipi, yaş, yarış yılı ve şehir etkileri önemlidir. Belirlenen modellerde en iyi yarış süresi ve hız için kalıtım derecesi () sırasıyla 0.05 ve 0.07 tahmin edilmiştir. Aynı özellikler için tekrarlanma dereceleri (r) ise sırasıyla 0.06 ve 0.07 tahmin edilmiştir. Toplam gelir, yıllık ortalama yarış başına gelir ve tabela oranları için kalıtım dereceleri sırasıyla; 0.12, 0.18 ve 0.84 tahmin edilmiştir. Bu sonuçlara göre bu populasyonda en iyi yarış süresi ve hız için seleksiyonla genetik ilerleme elde etmenin zor olacağı söylenebilir. Bununla birlikte gelir özellikleri için sınırlı düzeyde ilerleme sağlama imkânı varken, tabela oranı için oldukça iyi düzeyde genetik ilerleme sağlanabilir. Aygırlar ve kısraklar yönünden tahmin edilen genetik yönelimin dalgalı bir seyir izlediği ve seleksiyonda isabet oranının azaldığı görülmüştür.Anahtar kelimeler: Genetik parametre, genetik yönelim, MTDFREML Türk Arap atı, yarış özellikleri ABSTRACT: In this study, variance components and genetic trends were estimated for Turkish Arabic race performance characteristics. For this purpose, 8,321 horses riding in Turkey between 1990 and 2016 was evaluated as the result of 35929 races. The variance components were estimated with REML, the breeding values were estimated with BLUP Animal model with MTDFREML. Distance, sex, track type, age, race year and city effects on the best race time and race speed are significant. For the best models, the heritability () for the best race time and speed was estimated to be 0.05 and 0.07, respectively. The repeatability (r) for the same traits was estimated to be 0.06 and 0.07, respectively. Heritability for the total earning, mean earnings per start per year and rank ratio were estimated 0.12, 0.18 and 0.84, respectively. According to these results, it can be said that it is difficult to obtain genetic progress with selection for the best race time and speed in this population. However, genetic progress can be achieved quite well for the rank ratio, while there is limited progress for earning characteristics. It was seen that the genetic trend estimated for the stallions and mares was fluctuating and the reliability in the selection decreased.

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“…경주능력에 대한 평가형질들은 속도 (Oki et al, 1997;Mota et al, 2005), 부담중량 (Bugislaus et al, 2004), 승률 (Gillespie, 1971;Watanabe, 1974), 착순 (Tavernier, 1991;Sobczynska, 2006)과 수득상금 (Klemetsdal, 1994;Langlois & Blouin, 2004) 등으로 이들에 대한 다양한 연구가 이루어졌으며, BLUP (best linear unbiased prediction) 이론을 이용한 경주마의 유전능력 평 가는 1980년대 이후 폭 넓게 연구되어 왔다 (Arnason, 1982;Tavernier, 1988;Willham & Wilson, 1991;Belhajyahia et al, 2003;Langlois & Blouin, 2007;Sobczyńska, 2010). 국내 씨수 말들의 경주능력은 자마의 연간수득상금에 바탕을 두고 있는 평균 수득상금지수(Average earning Index, AEI)로 평가되고 있다.…”

Section: 서 론unclassified

Analysis of the Annual Earnings used as the Sire Evaluation Criteria in Home-produced Thoroughbred Racehorses

Lee¹,

Kong²,

Lee³

et al. 2011

Journal of Animal Science and Technology

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This study was conducted to analyze demerits of the sire evaluation system using annual earnings and to examine relationship between annual earnings and finish time in home-produced thoroughbred racehorses. The average number of progenies and number of starts per sire were 34 heads and 221 times, respectively. On the other hand, the number of progenies with the average age of 2 years and the number of starts were 9 heads and 25 times, respectively. The earnings of the horses with the age of 2 years accounted for 8.3% of annual earnings. The simple correlation coefficient between the number of progenies and the number of starts in annual earnings were 0.922 and 0.934, respectively. The correlation coefficient between the number of progenies and the number of starts was very high (0.985). The number of progenies and starts of sires for the first year of test career were very low (6 heads and 17 times), and there was very close relationship between number of progenies and annual earnings by the year of test career. The number of progenies was over 40 heads during the first 4 years of test career, and as the number of progenies increased the average earning index increased. The average earning index of sires with less than 30 progenies was lower than 1.00. When the number of progenies was less than 10, the average earning index was in the range of 0.06~0.13, indicating that the number of progenies affects much for determining the ranking of sires. The correlation coefficient between breeding value for finish time and annual earnings per start was very high (-0.524~-0.633) compared with other traits.

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Annual, career or single race records for breeding value estimation in race horses

Cited by 26 publications

References 17 publications

Genetic parameters for earnings in Quarter Horse

Genetic parameters for earnings in Quarter Horse

Estimation of Variance Components and Genetic Trend for the Race Performance in Turkish Arabian horse

Analysis of the Annual Earnings used as the Sire Evaluation Criteria in Home-produced Thoroughbred Racehorses

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