بررسی عوامل مؤثر بر سلول‌های بدنی شیر و تخمین فراسنجه‌های آن در گاوهای شیری هلشتاین استان خراسان رضوی به روش رگرسیون تصادفی

نوع مقاله : علمی پژوهشی- ژنتیک و اصلاح دام و طیور

نویسندگان

1 دانشگاه تهران

2 دانشگاه تربیت مدرس

3 دانشگاه ویلهلم فردریش بن

4 دانشگاه فردوسی مشهد

چکیده

هدف این تحقیق بررسی عوامل مؤثر بر صفت تعداد سلول‌های بدنی شیر و تخمین وراثت‌پذیری و همبستگی‌های آن با سایر صفات تولیدی بود. برای این منظور از اطلاعات 185688 رکورد روز آزمون تولید شیر و شجره گاوهای 54 گله استان خراسان رضوی استفاده شد. برای نرمال کردن رکوردهای صفت تعداد سلول‌های بدنی از آنها لگاریتم طبیعی گرفته شده و گاوهایی در برآورد مولفه‌های واریانس استفاده شدند که حداقل 1 و حداکثر 10 شکم زایش داشتند. اثرات محیطی در مدل آماری شامل اثر گله × سال رکوردگیری (سطح 247)، نوبت ماهیانه شیردهی (15 سطح)، دوره شیردهی (10سطح)، ماه رکوردگیری (12سطح)، سال (9 سطح) و فصل زایش (4 سطح)، مقدار تولید شیر و توان دوم آن بودند. وراثت‌پذیری تعداد سلول‌های بدنی دوره اول شیردهی با استفاده از مدل روزآزمون و رگرسیون تصادفی و همبستگی‌های بین صفات با مدل دو صفته نرم افزار Wombat برآورد شدند. اثرات ثابت مدل شامل گله × سال رکوردگیری، درصد خلوص خونی هلشتاین و ماه شیردهی به‌عنوان کوواریت و اثر ژنتیک افزایشی حیوان و محیط دایمی مشترک با چندجمله‌ای لژاندر درجه 5 به عنوان اثرات تصادفی بود. تمام عوامل ثابت مدل اول در سطح 1 درصد معنی‌دار بودند. با پیشرفت مراحل شیردهی تعداد سلول‌های بدنی افزایش یافت. کمترین تعداد سلول‌های بدنی در فصل رکوردگیری پاییز و یا در گاوهایی که در پاییز زایش کرده بودند، مشاهده شد. همچنین به نظر می‌رسد که افزایش سن عاملی برای افزایش تعداد سلول‌های بدنی باشد. مقادیر وراثت‌پذیری این صفت از 043/0 تا 136/0 متغیر بود. کمترین میزان همبستگی سلول‌های بدنی با تولید شیر (011/0-) و بیشترین آن با درصد پروتئین شیر(442/0) بود.

کلیدواژه‌ها


عنوان مقاله [English]

Factors Affecting Milk Somatic Cell Counts and Its Parameter Estimation in Holstein of Khorasan Razavi Province by Random Regression

نویسندگان [English]

  • Sonia Zakizadeh 1
  • Mokhtar Ali Abbasi 2
  • Behnam Saremi 3
  • Hossein Rashid 4
1 The University of Tehran
2 Tarbiat Modarres University
3 Rheinische Friedrich Wilhelms Universität Bonn
4 Ferdowsi University of Mashhad
چکیده [English]

Introduction Mastitis is recognized as one of the most costly diseases of the dairy industry. Somatic cell count (SCC) is a widely used indicator trait for mastitis, which in many countries is used as an indirect selection criterion for improving mastitis resistance. This is based on the positive genetic correlation between clinical mastitis (CM) and SCC. Recent estimates of the genetic correlation between mastitis and SCC range between 0.53 and 0.77 and the heritability is estimated between 0.05 and 0.31. Individual test day SCC are influenced by systematic environmental effects, such as stage of lactation, lactation number, season of calving, and season of recording. The aim of this study was to investigate factors affecting milk somatic cell score (SCC) and estimation of its heritability and correlation with the other productive traits.
Materials and Methods A total of 185688 test day records of production and pedigree from 54 herds in Khorasan Razavi State were used. To normalize SCC, log transformation of natural records were considered from cows, which had at least one calving up to 10th. Environmental effects such as herdyear of record (247 levels), stage of lactation (15 levels), lactation number (10 levels), month of recording (12 levels), year of calving (9 levels) and season of calving (4 levels), and the 1st and 2nd regression coefficient of milk production were included in the model. Heritability of SCS was estimated by animal model test-day random regression and correlations between traits were analyzed by bivariate animal model of Wombat. Fixed effects in model included herdyear of record, Holstein gene percentage, and stage of lactation as covariate, as well as additive genetic effect and common permanent environmental effects as random effects with 5-degree of Legendre.
Results and Discussion Analysis of variance revealed that all factors in models were significant (P

کلیدواژه‌ها [English]

  • Genetic correlation
  • Heritability
  • Milk somatic cells
  • Phenotypic correlation
  • Random regression
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