Journals / Turkish Journal of Veterinary and Animal Sciences / 2019 / Cilt: 43 - Sayı: 3

Genetic appraisal of growth traits in Iranian native Ghezel sheep using random regression models

Pages
372–379
Publication Date
2022-11-04
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The value of the direct genetic, directpermanent environment, maternal permanent environment, and the phenotypic variances for birth weight was the lowest and increasedby increasing of the age (maximum was for weight of 360th day of age).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This research was carried out to estimate the genetic parameters of the body weight traits of the Ghezel sheep using threedifferent random regression models.
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Key Findings & Data:The used data were 39,288 test-day records collected from 13,378 animals at Ghezel Sheep BreedingStation in Miandoab, West Azerbaijan Province, Iran from 1994 to 2012.
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Conclusion & Impact:The value of the direct genetic, directpermanent environment, maternal permanent environment, and the phenotypic variances for birth weight was the lowest and increasedby increasing of the age (maximum was for weight of 360th day of age).
🔬Design:Modeling & Simulation
📍Scope:2012 Verileri
⚙️Variables:Domain Parameters

Abstract

This research was carried out to estimate the genetic parameters of the body weight traits of the Ghezel sheep using threedifferent random regression models. The used data were 39,288 test-day records collected from 13,378 animals at Ghezel Sheep BreedingStation in Miandoab, West Azerbaijan Province, Iran from 1994 to 2012. Fixed effects in models included type of birth (single, twin) andyear of birth (1994–2012). The weight as a function of age in the days of weighting was considered as the fixed regression of orthogonalpolynomial. The random effects of the basic model were direct genetic and direct permanent environment. Maternal genetic and maternalpermanent environment effects were added to it respectively. In the basic model, increasing the order of fit for the fixed regression, directgenetic and direct permanent environment effects, increased the accuracy of the model. Adding the maternal permanent environmentaleffect to the model and increasing the order of fit increased the accuracy of the model. However, adding the maternal additive geneticeffect to the model and increasing the order of fit for this effect, decreased the model accuracy. Direct heritability for birth weightand weight at 90, 180, 270, and 360 days of age were: 0.30, 0.22, 0.39, 0.38, and 0.55, respectively. These heritability estimates reducedafter birth and reached the lowest amount for body weight at 20 days of age; however, after that, they increased as the age increased(this increase was not uniform and had some fluctuations). The direct additive genetic correlations between the traits of weight at 90days of age and the weight at 180 days of age was the highest (0.955) and between the birth weight and 180 days of age was the lowest(0.072). These correlations between adjacent age groups were closer than the remote age groups. The value of the direct genetic, directpermanent environment, maternal permanent environment, and the phenotypic variances for birth weight was the lowest and increasedby increasing of the age (maximum was for weight of 360th day of age).

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Cite This Article

RAFAT, S. A., ALIJANI, S., KIA, H. D., GHAHRI, B., NABAVI, R. (2022). Genetic appraisal of growth traits in Iranian native Ghezel sheep using random regression models. Turkish Journal of Veterinary and Animal Sciences, Cilt: 43 - Sayı: 3, 372–379. https://ajindex.com/articles/614838

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