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برآورد مؤلفه‌های واریانس صفات عملکردی اسب‌های پرشی ایران با استفاده از روش بیزی | ||
| تولیدات دامی | ||
| مقاله 2، دوره 26، شماره 3، مهر 1403، صفحه 233-248 اصل مقاله (1.49 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jap.2024.373545.623785 | ||
| نویسندگان | ||
| معین تاند1؛ محمدباقر زندی باغچه مریم* 2؛ مرادپاشا اسکندری نسب3؛ محمد عبدلی4 | ||
| 1گروه علوم دامی، دانشکده کشاورزی، دانشگاه زنجان، زنجان، ایران. رایانامه: moein.taned@znu.ac.ir | ||
| 2نویسنده مسئول، گروه علوم دامی، دانشکده کشاورزی، دانشگاه زنجان، زنجان، ایران. رایانامه: mbzandi@znu.ac.ir | ||
| 3گروه علوم دامی، دانشکده کشاورزی، دانشگاه زنجان، زنجان، ایران. رایانامه: eskandarinasab_M@znu.ac.ir | ||
| 4گروه علوم دامی، دانشکده کشاورزی، دانشگاه زنجان، زنجان، ایران. رایانامه: m.abdoli@znu.ac.ir | ||
| چکیده | ||
| مطالعه حاضر با هدف بررسی خصوصیات ژنتیکی و فنوتیپی مرتبط با صفات عملکردی در اسب‌های پرشی ایران شامل زمان پایان مسابقه (RCT) و تعداد خطاهای اسب در مسابقه (NEC) و رتبه در پایان مسابقه (REC) انجام شد. به‌منظور برآورد مؤلفه‌های واریانس، وراثتپذیری و همبستگی ژنتیکی نرم‌افزارهای GIBBS1F90 و THRGIBBS1F90 استفاده شد. وراثتپذیری (h2) با استفاده از مدل تک‌صفتی و چندصفتی برای صفات RCT، NEC و REC به‌ترتیب 02/0 و 08/0، 13/0 و 23/0، 16/0 و 29/0 برآورد شد. همبستگی ژنتیکی بین صفات RCT و NEC، RCT و NEC و هم‌چنین NEC و REC به‌ترتیب 38/0، 36/0 و 65/0 برآورد شد. میانگین قابلیت اعتماد برآوردشده (r2) با استفاده از مدل تک‌صفتی و چندصفتی برای صفات RCT، NEC و REC به‌ترتیب60/0 و 69/0، 62/0 و 73/0، 58/0 و 66/0 بود. نتایج به‌دست‌آمده حاکی از آن است که صفات موردبررسی وراثتپذیری پایینی دارند. از بین صفات عملکردی صفت REC دارای بیش‌ترین وراثتپذیری بوده و ازآنجاکه این صفت با صفات RCT و NEC دارای همبستگی ژنتیکی مثبت است، انتخاب براساس این صفت موجب پیشرفت در صفات دیگر نیز می‌شود. نتایج حاصل از مطالعه حاضر اهمیت استفاده از مدل‌های چندصفتی در برنامه‌های اصلاح نژاد را برجسته می‌کنند زیرا استفاده از این مدل‌ها می‌تواند منجر به برآوردهای دقیق‌تری از وراثتپذیری و بهبود دقت و قابلیت اعتماد در تخمین ارزش‌های ارثی شود. | ||
| کلیدواژه‌ها | ||
| ارزش اصلاحی؛ اسب‌های ورزشی؛ بیزین؛ قابلیت اعتماد؛ وراثتپذیری | ||
| عنوان مقاله [English] | ||
| Estimation of variance components for sport performance traits in Iranian jumping horses using Bayesian approach | ||
| نویسندگان [English] | ||
| Moein Taned1؛ Mohammad Bagher Zandi2؛ Morad Pasha EskandariNasab3؛ Mohammad Abdoli4 | ||
| 1Department of Animal Science, Faculty of Agriculture, University of Zanjan, Zanjan, Iran. E-mail: moein.taned@znu.ac.ir | ||
| 2Corresponding Author, Department of Animal Science, Faculty of Agriculture, University of Zanjan, Zanjan, Iran. E-mail: mbzandi@znu.ac.ir | ||
| 3Department of AnimalScience, Faculty of Agriculture, University of Zanjan, Zanjan, Iran. E-mail: eskandarinasab_M@znu.ac.ir | ||
| 4Department of Animal Science, Faculty of Agriculture, University of Zanjan, Zanjan, Iran. E-mail: m.abdoli@znu.ac.ir | ||
| چکیده [English] | ||
| Introduction: Accurate estimation of genetic and phenotypic variance enhances the selection of superior horses and serves as a valuable tool for the long-term improvement of the sport horse population. Therefore, this study was conducted to estimate the variance components for performance traits of sport horses using the Bayesian method. Materials and Methods: A database was created using 49,026 records from 1499 horses collected between 2017 and 2020 from the Iranian Equestrian Federation. The sport performance traits examined were race completion time (RCT), number of errors in competition (NEC), and rank at the end of the competition (REC). Analysis of variance and Duncan's multiple comparison tests were used to determine the significance of environmental effects, and genetic parameters were estimated using a Gibbs sampling method. R software was utilized to evaluate environmental effects, fit the model, and estimate reliability, variance components, heritability, and genetic correlations, with the GIBBS1F90 and THRGIBBS1F90 software used for estimation. The statistical model included fixed effects for birth year, sex, age, breed, height of obstacles, and level of difficulty of the event, as well as random effects for rider, date, city of competition, and additive genetic effect. Results and Discussion: Heritability (h2) was estimated using single-trait and multi-trait models for the traits RCT, NEC, and REC, respectively, as 0.02 and 0.08, 0.13 and 0.23, 0.16 and 0.29. The estimated genetic correlations between the traits RCT and NEC, RCT and REC, and NEC and REC were 0.38, 0.36, and 0.65, respectively. The mean estimated reliability (r2) using single-trait and multi-trait models for the traits RCT, NEC, and REC were 0.60 and 0.69, 0.62 and 0.73, 0.58 and 0.66, respectively. The heritability values of different traits can vary, and a specific trait may exhibit different levels of heritability across various populations. The estimated heritability of RCT, NEC, and REC fell within the range of values reported in various horse populations and it was <0.01–0.41, 0.07–0.38, and 0.02–0.23, respectively. These estimates demonstrate genetic variation in the traits within the study population, and their alignment with other studies increases confidence in the estimated values. Conclusion: The results of the present study indicated that the heritability of the traits studied was low. Among the performance traits, REC showed the highest heritability. Due to its positive genetic correlation with RCT and NEC, selecting for REC could potentially improve the other traits as well. These findings emphasize the importance of using multi-trait models in breeding programs, as they can provide more accurate heritability estimates and enhance the precision and reliability of breeding value predictions. | ||
| کلیدواژه‌ها [English] | ||
| Bayesian, Breeding value, Heritability, Reliability, Sport horses | ||
| مراجع | ||
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تاند، م, زندی، م. ب، اسکندری نسب، م. پ و عبدلی، م (1401). مروری بر ارزیابی پارامتر‌های ژنتیکی صفات عملکردی در اسب‌های ورزشی پرش. علمی- ترویجی (حرفه‌ای) دامِستیک, 22(2)، 14-23. doi: 10.22059/domesticsj.2022.345026.1099
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