Study on performance and estimation of genetic parameters of some reproductive traits in Makooei sheep using linear and threshold models

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Khaltabadi Farahani A.H.; MOHAMMADI H.; MORADI M.H.; RAFAT S.A.; MORADI SHAHREBABAK H.; Taheri Yeganeh A.

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Journal: JOURNAL OF RUMINANT RESEARCH Year:2019 | Volume:6 | Issue:4 Page(s): 65-76

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Title

Study on performance and estimation of genetic parameters of some reproductive traits in Makooei sheep using linear and threshold models

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Keywords

SheepQ1

Reproductive traitsQ1

Genetic parametersQ1

Linear modelQ2

Threshold modelQ2

Abstract

Background and objectives: The main objective of a breeding program is to maximize the rate of genetic progress for economically important traits in livestock. In Sheep production, Reproductive traits such as conception rate, litter size and lamb survival are the most important traits in all systems of Sheep production and in all environments. Reproductive traits in Sheep are the most important traits affecting profitability. These traits have categorical nature, but in practice the continuous distribution of traits is analyzed. The main objective of this study was to obtain effects of genetic estimates of Reproductive traits in Makooei Sheep using repeatability linear and Threshold models that are necessary to develop an efficient selection strategy for improvement of reproduction. Materials and methods: Data were comprised of 4319 records of lambs from 1629 dams which were collected during 1996 to 2014 at the Makoo Sheep Breeding Station in west-Azerbaijan province were used to estimate Genetic parameters. Studied traits were conception rate (3418), number of lambs born (3190), number of lambs alive at weaning (3190), number of lambs born per ewe exposed (3418) and number of lambs born per ewe exposed (3418) traits. The significance of fixed effects was examined using the Logistic procedure of SAS software. The linear animal and Threshold models were included fixed effects (year and age of ewe) and random effects additive genetic of ewe, permanent environmental of ewe and residual using ASREML program Results: The overall mean estimates were 0. 93, 1. 16, 0. 98, 1. 07 and 0. 91 for conception rate, number of lambs born, number of lambs alive at weaning, number of lambs born per ewe exposed and number of lambs born per ewe exposed, respectively. The heritability coefficient of traits were estimated as 0. 05, 0. 11, 0. 06, 0. 08, and 0. 04, respectively, resulted from linear analysis and corresponding 0. 12, 0. 20, 0. 15, 0. 18 and 0. 10 respectively, resulted from threshold analysis. The estimation of repeatability coefficient of traits were as 0. 09, 0. 16, 0. 18, 0. 15 and 0. 12, respectively, for linear analysis and 0. 48, 0. 51, 0. 34, 0. 50 and 0. 41 respectively for threshold analysis. Conclusion: This study showed that, using Threshold models for analyzing Reproductive traits in genetic evaluations rather than Linear models, could relatively increase Genetic parameters and improve accuracy of genetic evaluations.

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APA: Copy

Khaltabadi Farahani, A.H., MOHAMMADI, H., MORADI, M.H., RAFAT, S.A., MORADI SHAHREBABAK, H., & Taheri Yeganeh, A.. (2019). Study on performance and estimation of genetic parameters of some reproductive traits in Makooei sheep using linear and threshold models. JOURNAL OF RUMINANT RESEARCH, 6(4 ), 65-76. SID. https://sid.ir/paper/244030/en

Vancouver: Copy

Khaltabadi Farahani A.H., MOHAMMADI H., MORADI M.H., RAFAT S.A., MORADI SHAHREBABAK H., Taheri Yeganeh A.. Study on performance and estimation of genetic parameters of some reproductive traits in Makooei sheep using linear and threshold models. JOURNAL OF RUMINANT RESEARCH[Internet]. 2019;6(4 ):65-76. Available from: https://sid.ir/paper/244030/en

IEEE: Copy

A.H. Khaltabadi Farahani, H. MOHAMMADI, M.H. MORADI, S.A. RAFAT, H. MORADI SHAHREBABAK, and A. Taheri Yeganeh, “Study on performance and estimation of genetic parameters of some reproductive traits in Makooei sheep using linear and threshold models,” JOURNAL OF RUMINANT RESEARCH, vol. 6, no. 4 , pp. 65–76, 2019, [Online]. Available: https://sid.ir/paper/244030/en

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