Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methods
The used data set included the records of 131990 Iranian Holstein dairy cattle for first three lactations that were collected from 1981 to 2008 time period by Animal Breeding Center, Iran. The traits which were considered for 305 days of lactation included milk, fat and protein yield and percentages...
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| Format: | Article |
| Language: | English |
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University of Agriculture, Faisalabad
2012-10-01
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| Series: | Pakistan Veterinary Journal |
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| Online Access: | http://pvj.com.pk/pdf-files/32_4/562-566.pdf |
| _version_ | 1828772734230855680 |
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| author | Sadegh Alijani*, Mehdi Jasouri, Nasrolah Pirany and Hossein Daghigh Kia |
| author_facet | Sadegh Alijani*, Mehdi Jasouri, Nasrolah Pirany and Hossein Daghigh Kia |
| author_sort | Sadegh Alijani*, Mehdi Jasouri, Nasrolah Pirany and Hossein Daghigh Kia |
| collection | DOAJ |
| description | The used data set included the records of 131990 Iranian Holstein dairy cattle for first three lactations that were collected from 1981 to 2008 time period by Animal Breeding Center, Iran. The traits which were considered for 305 days of lactation included milk, fat and protein yield and percentages of milk fat and protein. Variance components were estimated using average information restricted maximum likelihood (AI-REML) algorithm using AIREMLF90 software under single trait and repeatability models and Bayesian method by using a Gibbs sampling technique (BAGS) and by MTGSAM and GIBBS3F90 software by same models. The linear statistical models of the analyses included herd-year-season and lactations as fixed effects, age at calving as covariate and animal and permanent environment as random effects. The ranges of heritability estimates for lactations 1 to 3 by animal single and repeatability models using AI-REML and BAGS methods were 0.19 to 0.29, 0.17 to 0.26, 0.20 to 0.25, 0.21 to 0.25 and 0.19 to 0.35 for milk, fat and protein yield and percentage of milk fat and protein, respectively. Repeatability estimates by using BAGS method were 0.44, 0.35, 0.43 and by AI-REML method the values were 0.43, 0.34, 0.39 for milk, fat and protein yield, respectively. The results showed that estimated genetic parameter values by AI-REML analyses for all traits and lactations in both models were smaller than BAGS method. In addition, estimated heritability values for later lactations were lower in comparison with the first lactation. |
| first_indexed | 2024-12-11T14:49:32Z |
| format | Article |
| id | doaj.art-87920edc21ae4516b9674f2551fbaad1 |
| institution | Directory Open Access Journal |
| issn | 0253-8318 |
| language | English |
| last_indexed | 2024-12-11T14:49:32Z |
| publishDate | 2012-10-01 |
| publisher | University of Agriculture, Faisalabad |
| record_format | Article |
| series | Pakistan Veterinary Journal |
| spelling | doaj.art-87920edc21ae4516b9674f2551fbaad12022-12-22T01:01:31ZengUniversity of Agriculture, FaisalabadPakistan Veterinary Journal0253-83182012-10-01324562566Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methodsSadegh Alijani*, Mehdi Jasouri, Nasrolah Pirany and Hossein Daghigh KiaThe used data set included the records of 131990 Iranian Holstein dairy cattle for first three lactations that were collected from 1981 to 2008 time period by Animal Breeding Center, Iran. The traits which were considered for 305 days of lactation included milk, fat and protein yield and percentages of milk fat and protein. Variance components were estimated using average information restricted maximum likelihood (AI-REML) algorithm using AIREMLF90 software under single trait and repeatability models and Bayesian method by using a Gibbs sampling technique (BAGS) and by MTGSAM and GIBBS3F90 software by same models. The linear statistical models of the analyses included herd-year-season and lactations as fixed effects, age at calving as covariate and animal and permanent environment as random effects. The ranges of heritability estimates for lactations 1 to 3 by animal single and repeatability models using AI-REML and BAGS methods were 0.19 to 0.29, 0.17 to 0.26, 0.20 to 0.25, 0.21 to 0.25 and 0.19 to 0.35 for milk, fat and protein yield and percentage of milk fat and protein, respectively. Repeatability estimates by using BAGS method were 0.44, 0.35, 0.43 and by AI-REML method the values were 0.43, 0.34, 0.39 for milk, fat and protein yield, respectively. The results showed that estimated genetic parameter values by AI-REML analyses for all traits and lactations in both models were smaller than BAGS method. In addition, estimated heritability values for later lactations were lower in comparison with the first lactation.http://pvj.com.pk/pdf-files/32_4/562-566.pdfAI-REMLBAGSIranian Holstein dairy cattleVariance components |
| spellingShingle | Sadegh Alijani*, Mehdi Jasouri, Nasrolah Pirany and Hossein Daghigh Kia Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methods Pakistan Veterinary Journal AI-REML BAGS Iranian Holstein dairy cattle Variance components |
| title | Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methods |
| title_full | Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methods |
| title_fullStr | Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methods |
| title_full_unstemmed | Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methods |
| title_short | Estimation of variance components for some production traits of Iranian Holstein dairy cattle using Bayesian and AI-REML methods |
| title_sort | estimation of variance components for some production traits of iranian holstein dairy cattle using bayesian and ai reml methods |
| topic | AI-REML BAGS Iranian Holstein dairy cattle Variance components |
| url | http://pvj.com.pk/pdf-files/32_4/562-566.pdf |
| work_keys_str_mv | AT sadeghalijanimehdijasourinasrolahpiranyandhosseindaghighkia estimationofvariancecomponentsforsomeproductiontraitsofiranianholsteindairycattleusingbayesianandairemlmethods |