Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models

Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weigh...
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Gespeichert in:

Autor*in:	Yadollahi, Sakine [verfasserIn] Gholizadeh, Mohsen [verfasserIn] Hafezian, Hasan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Sheep Reproductive traits Animal model Bayesian method

Übergeordnetes Werk:	Enthalten in: Small ruminant research - Amsterdam [u.a.] : Elsevier Science, 1988, 170, Seite 149-153
Übergeordnetes Werk:	volume:170 ; pages:149-153

DOI / URN:	10.1016/j.smallrumres.2018.12.001

Katalog-ID:	ELV001409093

Internformat


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100	1		\|a Yadollahi, Sakine \|e verfasserin \|4 aut
245	1	0	\|a Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models
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520			\|a Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep.
650		4	\|a Sheep
650		4	\|a Reproductive traits
650		4	\|a Animal model
650		4	\|a Bayesian method
700	1		\|a Gholizadeh, Mohsen \|e verfasserin \|4 aut
700	1		\|a Hafezian, Hasan \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Small ruminant research \|d Amsterdam [u.a.] : Elsevier Science, 1988 \|g 170, Seite 149-153 \|h Online-Ressource \|w (DE-627)306591537 \|w (DE-600)1498734-X \|w (DE-576)090954483 \|x 0921-4488 \|7 nnns
773	1	8	\|g volume:170 \|g pages:149-153
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912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
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912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
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912			\|a GBV_ILN_2147
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912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
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912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
951			\|a AR
952			\|d 170 \|h 149-153

Indexfelder

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matchkey_str	article:09214488:2018----::aeinneecogntcaaeesosmrpoutvtatisepsn
hierarchy_sort_str	2018
publishDate	2018
allfields	10.1016/j.smallrumres.2018.12.001 doi (DE-627)ELV001409093 (ELSEVIER)S0921-4488(18)31015-0 DE-627 ger DE-627 rda eng 630 640 DE-600 Yadollahi, Sakine verfasserin aut Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep. Sheep Reproductive traits Animal model Bayesian method Gholizadeh, Mohsen verfasserin aut Hafezian, Hasan verfasserin aut Enthalten in Small ruminant research Amsterdam [u.a.] : Elsevier Science, 1988 170, Seite 149-153 Online-Ressource (DE-627)306591537 (DE-600)1498734-X (DE-576)090954483 0921-4488 nnns volume:170 pages:149-153 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 170 149-153
spelling	10.1016/j.smallrumres.2018.12.001 doi (DE-627)ELV001409093 (ELSEVIER)S0921-4488(18)31015-0 DE-627 ger DE-627 rda eng 630 640 DE-600 Yadollahi, Sakine verfasserin aut Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep. Sheep Reproductive traits Animal model Bayesian method Gholizadeh, Mohsen verfasserin aut Hafezian, Hasan verfasserin aut Enthalten in Small ruminant research Amsterdam [u.a.] : Elsevier Science, 1988 170, Seite 149-153 Online-Ressource (DE-627)306591537 (DE-600)1498734-X (DE-576)090954483 0921-4488 nnns volume:170 pages:149-153 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 170 149-153
allfields_unstemmed	10.1016/j.smallrumres.2018.12.001 doi (DE-627)ELV001409093 (ELSEVIER)S0921-4488(18)31015-0 DE-627 ger DE-627 rda eng 630 640 DE-600 Yadollahi, Sakine verfasserin aut Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep. Sheep Reproductive traits Animal model Bayesian method Gholizadeh, Mohsen verfasserin aut Hafezian, Hasan verfasserin aut Enthalten in Small ruminant research Amsterdam [u.a.] : Elsevier Science, 1988 170, Seite 149-153 Online-Ressource (DE-627)306591537 (DE-600)1498734-X (DE-576)090954483 0921-4488 nnns volume:170 pages:149-153 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 170 149-153
allfieldsGer	10.1016/j.smallrumres.2018.12.001 doi (DE-627)ELV001409093 (ELSEVIER)S0921-4488(18)31015-0 DE-627 ger DE-627 rda eng 630 640 DE-600 Yadollahi, Sakine verfasserin aut Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep. Sheep Reproductive traits Animal model Bayesian method Gholizadeh, Mohsen verfasserin aut Hafezian, Hasan verfasserin aut Enthalten in Small ruminant research Amsterdam [u.a.] : Elsevier Science, 1988 170, Seite 149-153 Online-Ressource (DE-627)306591537 (DE-600)1498734-X (DE-576)090954483 0921-4488 nnns volume:170 pages:149-153 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 170 149-153
allfieldsSound	10.1016/j.smallrumres.2018.12.001 doi (DE-627)ELV001409093 (ELSEVIER)S0921-4488(18)31015-0 DE-627 ger DE-627 rda eng 630 640 DE-600 Yadollahi, Sakine verfasserin aut Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep. Sheep Reproductive traits Animal model Bayesian method Gholizadeh, Mohsen verfasserin aut Hafezian, Hasan verfasserin aut Enthalten in Small ruminant research Amsterdam [u.a.] : Elsevier Science, 1988 170, Seite 149-153 Online-Ressource (DE-627)306591537 (DE-600)1498734-X (DE-576)090954483 0921-4488 nnns volume:170 pages:149-153 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 170 149-153
language	English
source	Enthalten in Small ruminant research 170, Seite 149-153 volume:170 pages:149-153
sourceStr	Enthalten in Small ruminant research 170, Seite 149-153 volume:170 pages:149-153
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Sheep Reproductive traits Animal model Bayesian method
dewey-raw	630
isfreeaccess_bool	false
container_title	Small ruminant research
authorswithroles_txt_mv	Yadollahi, Sakine @@aut@@ Gholizadeh, Mohsen @@aut@@ Hafezian, Hasan @@aut@@
publishDateDaySort_date	2018-01-01T00:00:00Z
hierarchy_top_id	306591537
dewey-sort	3630
id	ELV001409093
language_de	englisch
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The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. 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author	Yadollahi, Sakine
spellingShingle	Yadollahi, Sakine ddc 630 misc Sheep misc Reproductive traits misc Animal model misc Bayesian method Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models
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topic_title	630 640 DE-600 Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models Sheep Reproductive traits Animal model Bayesian method
topic	ddc 630 misc Sheep misc Reproductive traits misc Animal model misc Bayesian method
topic_unstemmed	ddc 630 misc Sheep misc Reproductive traits misc Animal model misc Bayesian method
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title	Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models
ctrlnum	(DE-627)ELV001409093 (ELSEVIER)S0921-4488(18)31015-0
title_full	Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models
author_sort	Yadollahi, Sakine
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author_browse	Yadollahi, Sakine Gholizadeh, Mohsen Hafezian, Hasan
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title_sort	bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models
title_auth	Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models
abstract	Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep.
abstractGer	Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep.
abstract_unstemmed	Genetic parameters for reproductive traits in Baluchi sheep were estimated on 3844 dams born during 1991 to 2012. The studied traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW). Significant effects were determined using Logistic and GLM procedure of SAS software for threshold and continuous traits, respectively. Variance components needed for breeding were estimated using Gibbs sampling methodology of Bayesian inference. The genetic parameters for LMWLB, LMWLW, TLWB TLWW were estimated by fitting a linear model. To examine the appropriateness of ﬁtting linear or threshold model to litter size at birth and weaning, both models were used to estimate genetic parameters on the observed data. Posterior means of the heritabilities of litter size at birth and weaning by using a threshold model were estimated to be two times higher than the heritabilities based on the linear model (0.18 versus 0.09 and 0.11 versus 0.05 for LSB and LSW, respectively). Bayesian information criterion (BIC) selected the threshold model as most appropriate model for LSB and LSW given the data. The heritability estimates for LMWLB, LMWLW, TLWB TLWW resulting from linear analysis were 0.12, 0.05, 0.06 and 0.08, respectively. Genetic correlation estimates between the traits ranged from −0.67 for LMWLB–TLWW to 0.85 for LSB–TLWB. Phenotypic correlations ranged from −0.06 for LSB–LMWLW to 0.88 for LSB–TLWB and permanent environmental correlations ranged from −0.74 for LMWLB - TLWW to 0.88 for LSB–TLWB. Results of this study showed that the threshold model seems to be reliable for genetic evaluation of litter size in Baluchi sheep.
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title_short	Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models
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author2	Gholizadeh, Mohsen Hafezian, Hasan
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doi_str	10.1016/j.smallrumres.2018.12.001
up_date	2024-07-06T21:16:37.840Z
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Bayesian inference on genetic parameters for some reproductive traits in sheep using linear and threshold models

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