Estimation of Heritability of Karan Fries Cattle using Bayesian Procedure

  The Bayesian model was applied for analyzing the first lactation in Karan Fries cattle. First lactation data of production (305-day or less milk yield and daily milk yield) were collected from the history-cum pedigree sheet and daily milk yield registers of the division of Dairy Cattle Breedin...

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Main Authors: Himadri Shekhar Roy, Amrit Kumar Paul, Ranjit Kumar Paul, Ramesh Kumar Singh, MD `YEASIN, Prakash Kumar
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2022-02-01
Series:Indian Journal of Animal Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAnS/article/view/117167
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author Himadri Shekhar Roy
Amrit Kumar Paul
Ranjit Kumar Paul
Ramesh Kumar Singh
MD `YEASIN
Prakash Kumar
author_facet Himadri Shekhar Roy
Amrit Kumar Paul
Ranjit Kumar Paul
Ramesh Kumar Singh
MD `YEASIN
Prakash Kumar
author_sort Himadri Shekhar Roy
collection DOAJ
description   The Bayesian model was applied for analyzing the first lactation in Karan Fries cattle. First lactation data of production (305-day or less milk yield and daily milk yield) were collected from the history-cum pedigree sheet and daily milk yield registers of the division of Dairy Cattle Breeding (DCB), National Dairy Research Institute (NDRI), Karnal. In the Bayesian paradigm, MCMC methods are applied to solve complex mathematical problems to estimate a large number of unknown parameters. Assuming linear mixed model and using the different prior set up, diagnostic of MCMC (Markov Chain Monte Carlo) was carried out graphically as well as by Heidelberg stationarity test. Variance estimates of the random effects (VA) and residual variance estimation (VR) and Variance estimate location effects i.e. fixed effects were calculated along with effective sample size. Finally, heritability (h2) estimates for First lactation 305 days or less milk yield  (FL305DMY) was estimated along with its credible interval.
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spelling doaj.art-419679edb7db46358e539aa197c52e7c2023-02-08T11:27:30ZengIndian Council of Agricultural ResearchIndian Journal of Animal Sciences0367-83182394-33272022-02-0192510.56093/ijans.v92i5.117167Estimation of Heritability of Karan Fries Cattle using Bayesian ProcedureHimadri Shekhar Roy0Amrit Kumar Paul1Ranjit Kumar Paul2Ramesh Kumar Singh3MD `YEASIN4Prakash Kumar5ICAR-Indian Agricultural Statistics Research InstitutePrincipal Scientist Division of Statistical Genetics ICAR-IASRI, Pusa, New DelhiDr. Ranjit Kumar Paul, FNAAS Scientist, ICAR-IASRI IASRI, Library Avenue, Pusa, New Delhi-110 012M.V.Sc. Ph.D. (AGB) Asstt. Prof. Cum Jr. Scientist Deptt. of Animal Genetics and Breeding Bihar Veterinary College, Patna Mob. No. 91-8986157240 Email ID: Ramesh.kumarvet@gmail.comICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012 IndiaScientist Division of Statistical Genetics ICAR-IASRI, Pusa, New Delhi   The Bayesian model was applied for analyzing the first lactation in Karan Fries cattle. First lactation data of production (305-day or less milk yield and daily milk yield) were collected from the history-cum pedigree sheet and daily milk yield registers of the division of Dairy Cattle Breeding (DCB), National Dairy Research Institute (NDRI), Karnal. In the Bayesian paradigm, MCMC methods are applied to solve complex mathematical problems to estimate a large number of unknown parameters. Assuming linear mixed model and using the different prior set up, diagnostic of MCMC (Markov Chain Monte Carlo) was carried out graphically as well as by Heidelberg stationarity test. Variance estimates of the random effects (VA) and residual variance estimation (VR) and Variance estimate location effects i.e. fixed effects were calculated along with effective sample size. Finally, heritability (h2) estimates for First lactation 305 days or less milk yield  (FL305DMY) was estimated along with its credible interval. https://epubs.icar.org.in/index.php/IJAnS/article/view/117167BayesianCredible IntervalHeidelberg Stationarity TestHeritabilityKaran FriesLinear Mixed Model
spellingShingle Himadri Shekhar Roy
Amrit Kumar Paul
Ranjit Kumar Paul
Ramesh Kumar Singh
MD `YEASIN
Prakash Kumar
Estimation of Heritability of Karan Fries Cattle using Bayesian Procedure
Indian Journal of Animal Sciences
Bayesian
Credible Interval
Heidelberg Stationarity Test
Heritability
Karan Fries
Linear Mixed Model
title Estimation of Heritability of Karan Fries Cattle using Bayesian Procedure
title_full Estimation of Heritability of Karan Fries Cattle using Bayesian Procedure
title_fullStr Estimation of Heritability of Karan Fries Cattle using Bayesian Procedure
title_full_unstemmed Estimation of Heritability of Karan Fries Cattle using Bayesian Procedure
title_short Estimation of Heritability of Karan Fries Cattle using Bayesian Procedure
title_sort estimation of heritability of karan fries cattle using bayesian procedure
topic Bayesian
Credible Interval
Heidelberg Stationarity Test
Heritability
Karan Fries
Linear Mixed Model
url https://epubs.icar.org.in/index.php/IJAnS/article/view/117167
work_keys_str_mv AT himadrishekharroy estimationofheritabilityofkaranfriescattleusingbayesianprocedure
AT amritkumarpaul estimationofheritabilityofkaranfriescattleusingbayesianprocedure
AT ranjitkumarpaul estimationofheritabilityofkaranfriescattleusingbayesianprocedure
AT rameshkumarsingh estimationofheritabilityofkaranfriescattleusingbayesianprocedure
AT mdyeasin estimationofheritabilityofkaranfriescattleusingbayesianprocedure
AT prakashkumar estimationofheritabilityofkaranfriescattleusingbayesianprocedure