Bayesian Inference of (Co) Variance Components and Genetic Parameters for Economic Traits in Iranian Holsteins via Gibbs Sampling

محورهای موضوعی : Camel

H. Faraji-Arough ¹ , A.A. Aslaminejad ² , M. Tahmoorespur ³ , M. Rokouei ⁴ , M.M. Shariati ⁵

1 - Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
2 - Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
3 - Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
4 - Department of Animal Science, Faculty of Agriculture, University of Zabol, Zabol, Iran
5 - Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran

تاریخ دریافت : 1392/10/22 تاریخ پذیرش : 1393/02/10 تاریخ انتشار : 1393/12/10

کلید واژه: Bayesian inference, production traits, reproduction traits, somatic cell score,

چکیده مقاله :

The aim of this study was using Bayesian approach via Gibbs sampling (GS) for estimating genetic parameters of production, reproduction and health traits in Iranian Holstein cows. Data consisted of 320666 first- lactation records of Holstein cows from 7696 sires and 260302 dams collected by the animal breeding center of Iran from year 1991 to 2010. (Co) variance components were estimated using a multi-trait animal model analyzed via Gibbs sampling. After convergence, the highest posterior density region of heritability for milk (MY305), fat (FY305), protein (PY305), age at first calving (AFC), calving interval (CI) and somatic cell score (SCS) were 0.255-0.275, 0.195-0.215, 0.195-0.225, 0.260-0.275, 0.065-0.080 and 0.055-0.075, respectively. Genetic correlations ranged from -0.121 (between FY305 and AFC) to 0.914 (between MY305 and PY305) and for phonotypic correlations, it was from -0.083 (between MY305 and SCS) to 0.929 (between MY305 and PY305. The result of this study showed that production traits and AFC have enough genetic variation to develop breeding programs. The estimated genetic correlations suggest that milk production traits and CI would be affected if increasing milk production is the selection goal. The high genetic correlation between CI with SCS suggests that increasing calving interval trait result in an increased SCS.

چکیده انگلیسی:

هدف از این مطالعه، برآورد پارامترهای ژنتیکی صفات تولید، تولید مثل و بهداشت گاوهای هلشتاین ایران با استفاده از روش بیزی از طریق نمونه­گیری گیبس بود. رکوردهای اولین شیردهی 320666 گاو هلشتاین متولد شده از 7696 نر و 260302 ماده که مابین سال‌های 1370 تا 1389 توسط مرکز اصلاح نژاد دام کشور جمع­آوری شده بود، مورد استفاده قرار گرفت. مولفه­های واریانس- کواریانس با استفاده از مدل حیوانی چند صفتی از طریق نمونه‌گیری گیبس برآورد شدند. بعد از رسیدن به همگرایی، دامنه تراکم پسین وراثت­پذیری برای شیر (MY305)، چربی (FY305)، پروتئین (PY305)، سن در اولین گوساله ­زایی (AFC)، فاصله گوساله ­زایی (CI) و نمره سلول‌های بدنی (SCS) به ترتیب 275/0-255/0، 215/0-195/0، 225/0-195/0، 275/0-260/0، 080/0-065/0 و 075/0-055/0 بود. دامنه همبستگی ژنتیکی بین 121/0- (بین تولید چربی و سن در اولین گوساله زایی) تا 914/0 (بین تولید شیر و پروتئین) و همبستگی فنوتیپبی بین 083/0- (بین تولید شیر و نمره سلول‌های بدنی) تا 929/0 (بین تولید شیر و پروتئین) به دست آمد. نتایج این مطالعه نشان داد که صفات تولیدی و سن در اولین گوساله زایی تنوع ژنتیکی کافی برای بهبود در برنامه­های اصلاحی را دارند. همبستگی­های ژنتیکی برآورد شده پیشنهاد کننده این هستند که صفات تولید شیر و فاصله گوساله ­زایی در صورتی که افزایش تولید شیر در اهداف انتخابی مد نظر قرار گیرد می­توانند تحت تأثیر قرار بگیرند. همبستگی ژنتیکی بالا بین فاصله گوساله­ زایی و نمره سلول‌های بدنی بیان کننده این است که افزایش فاصله گوساله ­زایی منجر به افزایش نمره سلول‌های بدنی می­شود.

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