آنالیز ژنتیکی و فنوتیپی برخی صفات عملکردی در اسب‌های کورسی ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه علوم دامی دانشگاه زنجان

2 فارغ التحصیل کارشناسی ارشد ژنتیک و اصلاح نژاد گروه علوم دامی دانشگاه زنجان ایران

3 عضو هیئت علمی گروه علوم دامی دانشگاه زنجان

4 دکتری تخصصی ژنتیک و اصلاح نژاد دام، فدراسیون سوارکاری جمهوری اسلامی ایران، تهران، ایران.

5 دانشجو دکترا ژنتیک و اصلاح نژاد، گروه علوم دامی، دانشکده کشاورزی دانشگاه زنجان، ایران

چکیده

هدف از این پژوهش، آنالیز ژنتیکی و فنوتیپی برخی صفات عملکردی در اسب‌های کورسی ایران بود. از اطّلاعات صفات عملکردی اسب‌های کورسی نژاد تروبرد، ترکمن، دوخون (آمیخته بین تروبرد و ترکمن) و عرب که از سال 1385 الی 1394 در معاونت اسب دوانی فدراسیون سوارکاری کشور ثبت شده بودند، استفاده شد. برازش مدل با استفاده از نرم افزار SAS و R انجام شد و شجره توسط نرم افزار CFC تهیه و نظیم شد. پارامترهای ژنتیکی با روش حدّاکثر درست نمایی محدود شده (REML) و با استفاده از نرم افزار ASReml برآورد شد. وراثت‌پذیری صفت زمان برای اسب های دوخون در مسافت‌ های 1000، 1500+ و 1600+ متر به ترتیب در محدوده 19/0 تا 28/ 0 و و برای تروبرد در محدوده 0/16 تا 0/35 براورد شد و برای نژاد اسب عرب درمسافت‌ های 1000 و 1500+ متر به ترتیب وراثت‌پذیری 0/25 و 0/13، و برای نژاد اسب ترکمن در مسافت‌ های 1000، 1550 و 1600 متر به ترتیب وراثت‌پذیری 0/35، 0/38 و 0/44 بود . وراثت‌پذیری صفت رتبه برای اسب های دوخون در محدوده 0/046 تا 0/17، برای تروبرد در محدوده 0/12 تا 0/16، برای عرب 0/024 تا 0/28 و برای ترکمن در محدوده 0/13 تا 0/22 بود. وراثت‌پذیری صفت مجموع جوایز، برای نژادهای دوخون، ترکمن، تروبرد و عرب به ترتیب 0/20، 0/033، 0/072 و 0/019 برآورد شد. با توجه به وراثت‌پذیری پائین اغلب صفات عملکردی اسب‌ های کورسی و به منظور بهبود و پیشرفت ژنتیکی از طریق انتخاب بر روی صفات عملکردی، بهتر است اطّلاعات عملکردی دقیق‌تر ثبت شوند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Genetic and Phenotypic Analysis of Performance Traits in Iranian Race Horses

نویسندگان [English]

  • mohamd bagher zandi nagche maram 1
  • Hadi Ahmadi 2
  • Mohammad Taher HarkiNejhad 3
  • Masoud Khalili 4
  • Moein Taned 5
2 Master of Genetics and Breeding, Department of Animal Sciences, Zanjan University, Iran
3 Associate Professor Department of Animal Sciences, Zanjan University, Iran
4 Ph.D. in genetic and animal breeding, Equestrian Federation of the Islamic Republic of Iran, Tehran, Iran.
5 Ph.D. student in Genetics and Breeding, Department of Animal Sciences, Faculty of Agriculture, Zanjan University, Iran
چکیده [English]

Introduction: Horses were breed for war, hunting, Transporting, recreational, and sports purposes (Khalili 2008). The criterion of selection is mainly based on the horse's own and their parents' performances rather than breeding value. Despite of relatively developed organization of horse husbandry in the country and availability of individual racing results for almost all the progeny and pedigree information of horses, the scientific methods are not applied in selection of the animals for improving the racing performance(Bakhtiari & Kashan 2009). Normally the criteria to estimate the racing performance are time traits (Langlois 1980, Tolley et al. 1985, Ekiz et al. 2005), handicap weights (Langlois 1980, Tolley et al. 1985), rank at finish (Chico 1994, Sobczynska and Lukaszewicz, 2003, Ekiz and Kocak 2005) and earning (Langlois 1980, Ekiz and Kocak 2005). Breeders have traditionally combined information from time trials and races with pedigree evaluations to select potential racing stock, but this evaluation has primarily been based on a subjective synthesis of available information. Although the Standardbred horse is extensively performance tested before selection of breeding stock, studies of the genetic and environmental factors that influence racing performance must be completed before specific selection criteria can be recommended to the industry (Tolley et al. 1983). Racing ability is the main selection criterion in race horses. Breeding value estimation for aspects of racing ability has been carried out following performance tests in many European countries(Àrnason et al. 1994). Traits such as rank, time, prize, etc. are used to estimate the genetic and phenotypic parameters of race horses(Sobczynska & Lukaszewicz 2004). Genetic parameters estimation of racing performance traits is important in breeding programs, therefore, appropriate methods should be used. This study aimed to estimate the genetic parameters of racing performance using a linear model in different breeds of Iranian race horses and estimation of their genetic and phenotypic trends. The result of this study would be used for designing a breeding program for Iranian race horses.
Material and methods: In this study, the performance records of Iranian horse breeds, including Thoroughbred, Crossbreed, Turkmen, and Arabian horse breeds from the horse racing club of the Iranian Equestrian Federation between 2006 to 2014 were used. Performance traits in this study include 1.Racing Time, 2.rank at the Finish, 3.Cumulative Earning, 4.Number of Places, and 5.Number of races. Data were collected and adjusted using Excel software and R scripts. The quality controls included outliers deletion and preparing records for statistical analysis. CFC software (Sargolzaei et al. 2006) was used to survey the structure of the pedigree. For fitting the appropriate model the significant effects were investigated and was applied by SAS software. Variance components and genetic parameters were estimated by the restricted maximum likelihood method for a single trait animal model using ASReml software. A genetic trend is a compilation of average EBV per generation and indicates the direction of change across generations. It is often visualized in a graph and is useful to check whether there are unexpected deviations from linearity, e.g. due to a selection limit. The genetic trend in the racing performance was estimated by calculating the linear regression of average breeding values within birth years on the birth year.
Results and discussion: The heritability of finish time at races for Crossbreed and Thoroughbred horses in 1000, +1500, and +1600 distances were estimated in the range of (0.19-0.29) and (0.36-0.45), respectively, and it was 0.25 and 0.13 respectively for the Arabian horse breed in 1000 and +1500 distance, and it was 0.35, 0.38, and 0.44, respectively for the Turkmen horse breed in 1000, 1550 and 1600 distance. The heritability of the rank was in the range of (0.046-0.17), (0.12-0.16), (0.24-0.28) 0), and (0.13-0.22) based on the linear model (Animal model), respectively for Crossbreed, Thoroughbred, Arabian, and Turkmen horse breed. The heritability of the cumulative earning was 0.20, 0.072, 0.019, and 0.033 respectively for the Crossbreed, Thoroughbred, Arabian, and Turkmen horse breeds. The repeatability of finish time for Crossbreed and Thoroughbred in 1000, +1500, and +1600 distance were estimated in the range of (0.38-0.59) and (0.40-0.52), respectively. Also, it was 0.64 and 0.54 respectively for the Arabian horse breed in 1000 and +1500 distance and were 0.60, 0.67, and 0.59, respectively for Turkmen horse breed in 1000, 1550 and 1600 distance meters. The repeatability of the rank was in the range of, (0.14-0.19), (0.13-0.17), (0.2-0.40), and (0.13-0.30), respectively for Crossbreed, Thoroughbred, Arabian, and Turkmen horse breed. The genetic trend of this trait for Crossbreed and Thoroughbred in 1000, +1500, and +1600 distances were estimated in the range of (-0.0629 to -0.0173) and (-0.0384 to -0.0236), respectively. Also, the genetic trend were 0.0372 and -0.0335 respectively for Arabian horse breed in 1000 and +1500 distance and were 0.0104, 0.587, and -0.0462, respectively for Turkmen horse breed in 1000, 1550, and 1600 distance. These results showed an inconsistency between this study and other research (references) due to the number of data, environmental and managerial factors such as the experience of horses in the race, and the type of equipment and tools involved in the competition. Regarding the low estimated heritability of some performance traits in this study, genetic progress through indirect selection will be more usefulness than direct selection on these traits. As the application of modern genetic selection methodologies continues to gain popularity in the racing industry, contemporary heritability estimates from the current population of Thoroughbred, Crossbreed, Turkmen, and Arabian horse breeds will play a vital role in identifying which traits are better suited to selection and in the development of more accurate genomic evaluations for racing performance.

کلیدواژه‌ها [English]

  • Race horses
  • genetic parameters
  • linear model
  • genetic trend
  • REML
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