Amin Mortazavi, S. Alijani, M. Ghaderi-Zefrehei, F. Rafeie, A. Jafari, Hamed Amirpour-Najafabadi
{"title":"绵羊产仔数的贝叶斯阈值分析","authors":"Amin Mortazavi, S. Alijani, M. Ghaderi-Zefrehei, F. Rafeie, A. Jafari, Hamed Amirpour-Najafabadi","doi":"10.17533/udea.rccp.v35n3a05","DOIUrl":null,"url":null,"abstract":"32 Background: Litter size at Birth (LSB) is one of the most important economic traits in sheep 33 and could be used in genetic improvement schemes for meat production. LSB is inherently a 34 categorical trait and should be analysed with threshold models. Objective: Bayesian threshold 35 models were used to analyze sheep LSB to estimate genetic parameters. Methods: Data was 36 based on 7,901 LSB records from 14,968 dams and 682 sires collected from 1986 to 2012 at 37 Makouie Sheep Breeding Station in Iran. Means of posterior distributions (MPDs) of LSB's 38 genetic parameters were estimated, and the best-fitted models were selected using the deviance 39 information criterion. Results: In the repeated measurement analyses, the estimated direct and 40 maternal heritabilities, and permanent environmental effect (±SE), according to the best-fitted 41 Received: February 9, 2021; accepted: December 1, 2021 Corresponding Author. Yasouj, Iran.P. O. Box: 75914,Fax: +98 741 222 4840, Tel: +98 741 222 4840. Email: mghaderi@yu.ac.ir, mosmos741@yahoo.com This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. model (model 5), were 0.01 (0.010), 0.02 (0.014), and 0.01 (0.011), respectively. In the 42 univariate analysis, the best estimates of direct and maternal heritabilities were 0.12 (0.064) and 43 0.08 (0.045), respectively. An increasing trend for direct and maternal heritabilities was 44 observed in parity 2 (0.15 (0.082) and 0.25 (0.083), respectively). In the bivariate analysis, the 45 best estimates of direct and maternal heritabilities for LSB were 0.03 (0.027) and 0.22 (0.041), 46 respectively. The direct and maternal genetic correlations among parities were 0.25 (0.054) and 47 0.12 (0.021), respectively. Conclusions: The results showed a considerable influence of 48 environmental factors on LSB in each parity of sheep; also, statistically different genetic 49 parameters (p<0.05) were obtained from one parity to another, indicating the different and large 50 influences of genetic and environmental factors for each parity in sheep. 51 52","PeriodicalId":49613,"journal":{"name":"Revista Colombiana De Ciencias Pecuarias","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bayesian threshold analysis of litter size in sheep\",\"authors\":\"Amin Mortazavi, S. Alijani, M. Ghaderi-Zefrehei, F. Rafeie, A. Jafari, Hamed Amirpour-Najafabadi\",\"doi\":\"10.17533/udea.rccp.v35n3a05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"32 Background: Litter size at Birth (LSB) is one of the most important economic traits in sheep 33 and could be used in genetic improvement schemes for meat production. LSB is inherently a 34 categorical trait and should be analysed with threshold models. Objective: Bayesian threshold 35 models were used to analyze sheep LSB to estimate genetic parameters. Methods: Data was 36 based on 7,901 LSB records from 14,968 dams and 682 sires collected from 1986 to 2012 at 37 Makouie Sheep Breeding Station in Iran. Means of posterior distributions (MPDs) of LSB's 38 genetic parameters were estimated, and the best-fitted models were selected using the deviance 39 information criterion. Results: In the repeated measurement analyses, the estimated direct and 40 maternal heritabilities, and permanent environmental effect (±SE), according to the best-fitted 41 Received: February 9, 2021; accepted: December 1, 2021 Corresponding Author. Yasouj, Iran.P. O. Box: 75914,Fax: +98 741 222 4840, Tel: +98 741 222 4840. Email: mghaderi@yu.ac.ir, mosmos741@yahoo.com This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. model (model 5), were 0.01 (0.010), 0.02 (0.014), and 0.01 (0.011), respectively. In the 42 univariate analysis, the best estimates of direct and maternal heritabilities were 0.12 (0.064) and 43 0.08 (0.045), respectively. An increasing trend for direct and maternal heritabilities was 44 observed in parity 2 (0.15 (0.082) and 0.25 (0.083), respectively). In the bivariate analysis, the 45 best estimates of direct and maternal heritabilities for LSB were 0.03 (0.027) and 0.22 (0.041), 46 respectively. The direct and maternal genetic correlations among parities were 0.25 (0.054) and 47 0.12 (0.021), respectively. Conclusions: The results showed a considerable influence of 48 environmental factors on LSB in each parity of sheep; also, statistically different genetic 49 parameters (p<0.05) were obtained from one parity to another, indicating the different and large 50 influences of genetic and environmental factors for each parity in sheep. 51 52\",\"PeriodicalId\":49613,\"journal\":{\"name\":\"Revista Colombiana De Ciencias Pecuarias\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2021-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Colombiana De Ciencias Pecuarias\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.17533/udea.rccp.v35n3a05\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Colombiana De Ciencias Pecuarias","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.17533/udea.rccp.v35n3a05","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
Bayesian threshold analysis of litter size in sheep
32 Background: Litter size at Birth (LSB) is one of the most important economic traits in sheep 33 and could be used in genetic improvement schemes for meat production. LSB is inherently a 34 categorical trait and should be analysed with threshold models. Objective: Bayesian threshold 35 models were used to analyze sheep LSB to estimate genetic parameters. Methods: Data was 36 based on 7,901 LSB records from 14,968 dams and 682 sires collected from 1986 to 2012 at 37 Makouie Sheep Breeding Station in Iran. Means of posterior distributions (MPDs) of LSB's 38 genetic parameters were estimated, and the best-fitted models were selected using the deviance 39 information criterion. Results: In the repeated measurement analyses, the estimated direct and 40 maternal heritabilities, and permanent environmental effect (±SE), according to the best-fitted 41 Received: February 9, 2021; accepted: December 1, 2021 Corresponding Author. Yasouj, Iran.P. O. Box: 75914,Fax: +98 741 222 4840, Tel: +98 741 222 4840. Email: mghaderi@yu.ac.ir, mosmos741@yahoo.com This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. model (model 5), were 0.01 (0.010), 0.02 (0.014), and 0.01 (0.011), respectively. In the 42 univariate analysis, the best estimates of direct and maternal heritabilities were 0.12 (0.064) and 43 0.08 (0.045), respectively. An increasing trend for direct and maternal heritabilities was 44 observed in parity 2 (0.15 (0.082) and 0.25 (0.083), respectively). In the bivariate analysis, the 45 best estimates of direct and maternal heritabilities for LSB were 0.03 (0.027) and 0.22 (0.041), 46 respectively. The direct and maternal genetic correlations among parities were 0.25 (0.054) and 47 0.12 (0.021), respectively. Conclusions: The results showed a considerable influence of 48 environmental factors on LSB in each parity of sheep; also, statistically different genetic 49 parameters (p<0.05) were obtained from one parity to another, indicating the different and large 50 influences of genetic and environmental factors for each parity in sheep. 51 52
期刊介绍:
The editors of Revista Colombiana de Ciencias Pecuarias (RCCP) welcome the submission of original manuscripts on experimental and clinical studies associated with the broad areas of animal sciences and veterinary medicine as they interface with biochemistry, molecular biology, physiology, pharmacology, toxicology, pathology, microbiology, parasitology, immunology and epidemiology. The scope of the journal includes studies of basic and applied research in animal management and production, feeding and nutrition, reproduction, breeding, genetics, animal welfare and behavior; as well as animal production focussed from biotechnology, soil science, agrostology, silvopastoral systems, livestock economics and the environment.
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