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Improving Accuracy of Genetic Evaluation of Survival Traits in Quail by Including Dominance Effect in the Random Regression Threshold Model | ||
| Poultry Science Journal | ||
| دوره 14، شماره 2، بهمن 2026، صفحه 269-281 اصل مقاله (474.73 K) | ||
| نوع مقاله: Original Paper | ||
| شناسه دیجیتال (DOI): 10.22069/psj.2026.24580.2503 | ||
| نویسندگان | ||
| Fariba Sarhadi1؛ Mohammad Rokouei* 2؛ Hadi Faraji-Arough3؛ Ali Maghsoudi4 | ||
| 1Department of Animal Science, Faculty of Agriculture, University of Zabol, Zabol, Iran | ||
| 2Department of Animal Science and Bioinformatics, Faculty of Agriculture, University of Zabol, Zabol, Iran | ||
| 3Department of Ostrich, Special Domestic Animals Institute, Research Institute of Zabol, Zabol, Iran | ||
| 4Department of Animal Science, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran | ||
| چکیده | ||
| Survival is an important economic trait that can enhance production and profits while reducing breeding costs. Therefore, it is crucial to consider this trait in breeding programs, which require knowledge of the (co)variance components of traits. This study aimed to compare various random regression threshold models and determine the most suitable model for estimating the variance components of survival traits in Japanese quail. The survival trait at different ages was defined as code one (bird alive at considered age) and code zero (bird dead at considered age) as binary traits. In total, survival records of 5956 birds born from 709 cocks and 825 hens between ages one and 45 days with a recording interval of 5 were used. Different random regression threshold models varying in the number of effects and order of Legendre polynomials were compared, and the best model was selected using the logarithm of the likelihood (LogL), Bayesian Information Criterion (BIC), and Akaike Information Criterion (AIC). The results showed that the model containing direct additive genetic (4th order), maternal genetic (2nd order), permanent environment of the bird (5th order), and dominance (1st order) was the most suitable model. An increasing trend was observed for direct additive genetic variance with age, whereas the remaining variance components exhibited a declining trend. Heritability for survival traits at different ages ranged from 0.041 to 0.200. The ratio of maternal genetic, permanent environment of the bird, and dominance variances to phenotypic variance of survival traits was higher at early ages but decreased in later ages. The lowest and highest direct genetic correlations were estimated as 0.536 (between survival at hatch and up to 45 days of age) and 0.979 (between survival up to 15 and up to 20 days of age), respectively. Considering the estimated heritability and genetic correlation for survival up to 30 days of age and survival traits at later ages, this trait can be recommended as a practical and effective selection criterion for improving overall survival in breeding programs. | ||
| کلیدواژهها | ||
| Quail؛ Survival؛ Heritability؛ Random regression؛ Legendre polynomial | ||
| مراجع | ||
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